Machine Learning Jobs in Hungary.
All active Machine Learning roles based in Hungary.
Pick a job to read the details
Tap any role on the left — its description and apply link will open here.
At Scale AI, we’re not just building AI tools—we’re pioneering the next era of enterprise AI. As businesses race to harness the power of Generative AI, Scale is at the forefront, delivering cutting-edge solutions that transform workflows, automate complex processes, and drive unparalleled efficiency for the largest enterprises. Our Scale Generative AI Platform (SGP) provides foundational services and APIs, enabling businesses to seamlessly integrate AI into their operations at production scale.
We’re looking for a Backend Engineer to help bring large-scale GenAI systems to production. In this role, you’ll build the core infrastructure that powers AI products for some of the world’s largest enterprises—designing scalable APIs, distributed data systems, and robust deployment pipelines that enable production-grade reliability and performance.
This is a rare opportunity to be at the center of the GenAI revolution, solving hard backend and infrastructure challenges that make AI truly work at enterprise scale. If you're excited about shaping how AI systems are deployed and scaled in the real world, we want to hear from you.
At Scale, we don’t just follow AI advancements — we lead them. Backed by deep expertise in data, infrastructure, and model deployment, we are uniquely positioned to solve the hardest problems in AI adoption. Join us in shaping the future of enterprise AI, where your work will directly impact how businesses operate, innovate, and grow in the age of GenAI.
You Will:
- Design, build, and scale backend systems that power enterprise GenAI products, focusing on reliability, performance, and deployment across both Scale’s and customers’ infrastructure.
- Develop core services and APIs that integrate AI models and enterprise data sources securely and efficiently, enabling production-scale AI adoption.
- Architect scalable distributed systems for data processing, inference, and orchestration of large-scale GenAI workloads.
- Optimize backend performance for latency, throughput, and cost—ensuring AI applications can operate at enterprise scale across hybrid and multi-cloud environments.
- Manage and evolve cloud infrastructure (AWS, Azure, or GCP), driving automation, observability, and security for large-scale AI deployments.
- Collaborate with ML and product teams to bring cutting-edge GenAI models into production through efficient APIs, model serving systems, and evaluation frameworks.
- Continuously improve reliability and scalability, applying strong engineering practices to make AI systems robust, maintainable, and enterprise-ready.
Ideally, You Have:
- 4+ years of experience developing large-scale backend or infrastructure systems, with a strong emphasis on distributed services, reliability, and scalability.
- Proficiency in Python or TypeScript, with experience designing high-performance APIs and backend architectures using frameworks such as FastAPI, Flask, Express, or NestJS.
- Deep familiarity with cloud infrastructure (AWS and Azure preferred), including container orchestration (Kubernetes, Docker) and Infrastructure-as-Code tools like Terraform.
- Experience managing data systems such as relational and NoSQL databases (PostgreSQL, DynamoDB, etc.) and building pipelines for data-intensive applications.
- Hands-on experience with GenAI applications, model integration, or AI agent systems—understanding how to deploy, evaluate, and scale AI workloads in production.
- Strong understanding of observability, CI/CD, and security best practices for running services in enterprise or multi-tenant environments.
- Ability to balance rapid iteration with production-grade quality, shipping reliable backend systems in fast-paced environments.
Collaborative mindset, working closely with ML, infra, and product teams to bring complex GenAI systems into production at enterprise scale.
PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants.
About Us:
At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications.
We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status.
We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's Know Your Rights poster for additional information.
We comply with the United States Department of Labor's Pay Transparency provision.
PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants’ needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.
Ready to apply?
Apply to Scale AI
Cision has one of the largest media and content databases on Earth. Our data science team works on building intelligent and high-impact features driven by machine learning and NLP.
As a Staff Data Scientist, you will be part of our Machine Learning and Data Science team that build and deploy machine learning models used directly in our products. You will work on complex, high-visibility problems and collaborate closely with engineering, product, and analytics teams to turn prototypes into production-grade solutions.
This role is ideal for someone who operates with strong ownership, delivers high-quality work at pace, and acts as a subject-matter expert on key ML components or services.
Key Responsibilities
Develop and deliver complex machine learning and NLP solutions end-to-end.
Analyze large datasets to uncover insights, design features, and guide modeling decisions.
Build, test, and deploy ML models into production systems in partnership with engineering teams.
Work independently to create tools, frameworks, and reusable components that accelerate model development.
Collaborate cross-functionally with product managers, engineers, and analysts to translate prototypes into production-grade models and services.
Demonstrate sound judgment around risk, workload management, prioritization, and escalation.
Act as a go-to SME for your domain and contribute significantly to team commitments and delivery.
Required Qualifications
8+ years of professional experience in a software or ML engineering environment.
5+ years applying advanced statistical or machine learning techniques to real-world business problems.
Advanced degree in a quantitative field (e.g., Statistics, Mathematics, Economics, Computer Science, Machine Learning) or equivalent practical experience.
Proven track record of delivering ML solutions used in production.
Strong proficiency with Python and ML-focused libraries such as Pandas, NumPy, scikit-learn, TensorFlow, or PyTorch.
Hands-on experience with cloud-based ML workflows in GCP and/or AWS (Kubernetes, Nvidia Triton, Vertex AI, Sagemaker, and similar tools)
Proficiency with database query languages (QL) and experience working with large-scale datasets.
Ability to clearly communicate complex technical concepts to non-technical audiences.
Strong sense of ownership, accountability, and commitment to quality.
Preferred Qualifications
Experience with modern NLP techniques and pretrained model ecosystems.
Experience building scalable data pipelines or model-serving architectures.
Familiarity with MLOps concepts and practices.
Experience in building production-quality and scalable inf inerence systems with Python, Java, or general-purpose languages.
What Your Day-to-Day Might Look Like
Experimenting with various modeling techniques using GCP Vertex AI or AWS SageMaker.
Analyzing model performance and implementing strategies to improve accuracy, robustness, and reliability.
Designing and engineering new features based on exploratory data analysis.
Identifying, evaluating, and adapting open-source models to solve NLP and ML tasks.
Partnering with engineers to optimize ML models for deployment and monitoring.
Ready to apply?
Apply to Cision
Cision has one of the largest media and content databases on Earth. Our data science team works on building intelligent and high-impact features driven by machine learning and NLP.
As a Staff Data Scientist, you will be part of our Machine Learning and Data Science team that build and deploy machine learning models used directly in our products. You will work on complex, high-visibility problems and collaborate closely with engineering, product, and analytics teams to turn prototypes into production-grade solutions.
This role is ideal for someone who operates with strong ownership, delivers high-quality work at pace, and acts as a subject-matter expert on key ML components or services.
Key Responsibilities
Develop and deliver complex machine learning and NLP solutions end-to-end.
Analyze large datasets to uncover insights, design features, and guide modeling decisions.
Build, test, and deploy ML models into production systems in partnership with engineering teams.
Work independently to create tools, frameworks, and reusable components that accelerate model development.
Collaborate cross-functionally with product managers, engineers, and analysts to translate prototypes into production-grade models and services.
Demonstrate sound judgment around risk, workload management, prioritization, and escalation.
Act as a go-to SME for your domain and contribute significantly to team commitments and delivery.
Required Qualifications
8+ years of professional experience in a software or ML engineering environment.
5+ years applying advanced statistical or machine learning techniques to real-world business problems.
Advanced degree in a quantitative field (e.g., Statistics, Mathematics, Economics, Computer Science, Machine Learning) or equivalent practical experience.
Proven track record of delivering ML solutions used in production.
Strong proficiency with Python and ML-focused libraries such as Pandas, NumPy, scikit-learn, TensorFlow, or PyTorch.
Hands-on experience with cloud-based ML workflows in GCP and/or AWS (Kubernetes, Nvidia Triton, Vertex AI, Sagemaker, and similar tools)
Proficiency with database query languages (QL) and experience working with large-scale datasets.
Ability to clearly communicate complex technical concepts to non-technical audiences.
Strong sense of ownership, accountability, and commitment to quality.
Preferred Qualifications
Experience with modern NLP techniques and pretrained model ecosystems.
Experience building scalable data pipelines or model-serving architectures.
Familiarity with MLOps concepts and practices.
Experience in building production-quality and scalable inf inerence systems with Python, Java, or general-purpose languages.
What Your Day-to-Day Might Look Like
Experimenting with various modeling techniques using GCP Vertex AI or AWS SageMaker.
Analyzing model performance and implementing strategies to improve accuracy, robustness, and reliability.
Designing and engineering new features based on exploratory data analysis.
Identifying, evaluating, and adapting open-source models to solve NLP and ML tasks.
Partnering with engineers to optimize ML models for deployment and monitoring.
Ready to apply?
Apply to Cision
Why Join Exadel
We’re an AI-first global tech company with 25+ years of engineering leadership, 2,000+ team members, and 500+ active projects powering Fortune 500 clients, including HBO, Microsoft, Google, and Starbucks.
From AI platforms to digital transformation, we partner with enterprise leaders to build what’s next.
What powers it all? Our people are ambitious, collaborative, and constantly evolving.
About the Client
The leading provider of vehicle lifecycle solutions, with headquarters in Chicago, enables the companies that build, insure, and replace vehicles to power the next generation of transportation. Its platform delivers advanced mobile, artificial intelligence, and car technologies. It connects a network of 350+ insurance companies, 24,000+ repair facilities, hundreds of parts suppliers, and dozens of third-party data and service providers. The customer's collective solutions enhance productivity and help clients deliver better experiences for end consumers.
What You’ll Do
- Deliver best-in-industry models for detection of subrogation opportunities using the latest ML advancements and best software engineering practices
- Meet and collaborate with business stakeholders (customers, sales and product managers) to drive the development of new models and features based on
- Collaborate with data engineering and software engineering team to ensure a smooth flow of data across teams and APIs related to outbound subrogation
- Mentor junior ML engineers in the outbound subro team to form a high-performing team
What You Bring
- Deep understanding of ML lifecycle: development, evaluation, deployment, monitoring, and iteration
- Excellent communication skills; ability to explain complex technical concepts to non- technical stakeholders
- Hands-on experience in experiment design and model valuation
- Expertise with ML system design, model deployment, and production ML systems
- Experience in engineering production-grade GenAI features with robust validation, sanity checks, and structured outputs to mitigate hallucination and business risk
- Proficiency with AWS stack related to ML (e.g. Sagemaker, Lambda, Stepfunctions, IAM)
- Strong software engineering fundamentals and best practices (CICD, Test-Driven Development, Infrastructure as Code)
- Experience translating business objectives into technical roadmaps and deliverables
- Ability to balance technical excellence with business priorities and timelines
- Strong stakeholder management and cross-functional collaboration skills
Nice to have
Experience in subrogation, claims processing, insurance or financial technology
Legal & Hiring Information
- Exadel is proud to be an Equal Opportunity Employer committed to inclusion across minority, gender identity, sexual orientation, disability, age, and more
- Reasonable accommodations are available to enable individuals with disabilities to perform essential functions
- Please note: this job description is not exhaustive. Duties and responsibilities may evolve based on business needs
Your Benefits at Exadel
Exadel benefits vary by location and contract type. Your recruiter will fill you in on the details.
- International projects
- In-office, hybrid, or remote flexibility
- Medical healthcare
- Recognition program
- Ongoing learning & reimbursement
- Well-being program
- Team events & local benefits
- Sports compensation
- Referral bonuses
- Top-tier equipment provision
Exadel Culture
We lead with trust, respect, and purpose. We believe in open dialogue, creative freedom, and mentorship that helps you grow, lead, and make a real difference. Ours is a culture where ideas are challenged, voices are heard, and your impact matters.
Ready to apply?
Apply to Exadel
Why Join Exadel
We’re an AI-first global tech company with 25+ years of engineering leadership, 2,000+ team members, and 500+ active projects powering Fortune 500 clients, including HBO, Microsoft, Google, and Starbucks.
From AI platforms to digital transformation, we partner with enterprise leaders to build what’s next.
What powers it all? Our people are ambitious, collaborative, and constantly evolving.
About the Client
The leading provider of vehicle lifecycle solutions, with headquarters in Chicago, enables the companies that build, insure, and replace vehicles to power the next generation of transportation. Its platform delivers advanced mobile, artificial intelligence, and car technologies. It connects a network of 350+ insurance companies, 24,000+ repair facilities, hundreds of parts suppliers, and dozens of third-party data and service providers. The customer's collective solutions enhance productivity and help clients deliver better experiences for end consumers.
What You’ll Do
- Deliver best-in-industry models for detection of subrogation opportunities using the latest ML advancements and best software engineering practices
- Meet and collaborate with business stakeholders (customers, sales and product managers) to drive the development of new models and features based on
- Collaborate with data engineering and software engineering team to ensure a smooth flow of data across teams and APIs related to outbound subrogation
- Mentor junior ML engineers in the outbound subro team to form a high-performing team
What You Bring
- Deep understanding of ML lifecycle: development, evaluation, deployment, monitoring, and iteration
- Excellent communication skills; ability to explain complex technical concepts to non- technical stakeholders
- Hands-on experience in experiment design and model valuation
- Expertise with ML system design, model deployment, and production ML systems
- Experience in engineering production-grade GenAI features with robust validation, sanity checks, and structured outputs to mitigate hallucination and business risk
- Proficiency with AWS stack related to ML (e.g. Sagemaker, Lambda, Stepfunctions, IAM)
- Strong software engineering fundamentals and best practices (CICD, Test-Driven Development, Infrastructure as Code)
- Experience translating business objectives into technical roadmaps and deliverables
- Ability to balance technical excellence with business priorities and timelines
- Strong stakeholder management and cross-functional collaboration skills
Nice to have
Experience in subrogation, claims processing, insurance or financial technology
Legal & Hiring Information
- Exadel is proud to be an Equal Opportunity Employer committed to inclusion across minority, gender identity, sexual orientation, disability, age, and more
- Reasonable accommodations are available to enable individuals with disabilities to perform essential functions
- Please note: this job description is not exhaustive. Duties and responsibilities may evolve based on business needs
Your Benefits at Exadel
Exadel benefits vary by location and contract type. Your recruiter will fill you in on the details.
- International projects
- In-office, hybrid, or remote flexibility
- Medical healthcare
- Recognition program
- Ongoing learning & reimbursement
- Well-being program
- Team events & local benefits
- Sports compensation
- Referral bonuses
- Top-tier equipment provision
Exadel Culture
We lead with trust, respect, and purpose. We believe in open dialogue, creative freedom, and mentorship that helps you grow, lead, and make a real difference. Ours is a culture where ideas are challenged, voices are heard, and your impact matters.
Ready to apply?
Apply to Exadel
Why Join Exadel
We’re an AI-first global tech company with 25+ years of engineering leadership, 2,000+ team members, and 500+ active projects powering Fortune 500 clients, including HBO, Microsoft, Google, and Starbucks.
From AI platforms to digital transformation, we partner with enterprise leaders to build what’s next.
What powers it all? Our people are ambitious, collaborative, and constantly evolving.
About the Client
The leading provider of vehicle lifecycle solutions, with headquarters in Chicago, enables the companies that build, insure, and replace vehicles to power the next generation of transportation. Its platform delivers advanced mobile, artificial intelligence, and car technologies. It connects a network of 350+ insurance companies, 24,000+ repair facilities, hundreds of parts suppliers, and dozens of third-party data and service providers. The customer's collective solutions enhance productivity and help clients deliver better experiences for end consumers.
What You’ll Do
- Deliver best-in-industry models for detection of subrogation opportunities using the latest ML advancements and best software engineering practices
- Meet and collaborate with business stakeholders (customers, sales and product managers) to drive the development of new models and features based on
- Collaborate with data engineering and software engineering team to ensure a smooth flow of data across teams and APIs related to outbound subrogation
- Mentor junior ML engineers in the outbound subro team to form a high-performing team
What You Bring
- Deep understanding of ML lifecycle: development, evaluation, deployment, monitoring, and iteration
- Excellent communication skills; ability to explain complex technical concepts to non- technical stakeholders
- Hands-on experience in experiment design and model valuation
- Expertise with ML system design, model deployment, and production ML systems
- Experience in engineering production-grade GenAI features with robust validation, sanity checks, and structured outputs to mitigate hallucination and business risk
- Proficiency with AWS stack related to ML (e.g. Sagemaker, Lambda, Stepfunctions, IAM)
- Strong software engineering fundamentals and best practices (CICD, Test-Driven Development, Infrastructure as Code)
- Experience translating business objectives into technical roadmaps and deliverables
- Ability to balance technical excellence with business priorities and timelines
- Strong stakeholder management and cross-functional collaboration skills
Nice to have
Experience in subrogation, claims processing, insurance or financial technology
Legal & Hiring Information
- Exadel is proud to be an Equal Opportunity Employer committed to inclusion across minority, gender identity, sexual orientation, disability, age, and more
- Reasonable accommodations are available to enable individuals with disabilities to perform essential functions
- Please note: this job description is not exhaustive. Duties and responsibilities may evolve based on business needs
Your Benefits at Exadel
Exadel benefits vary by location and contract type. Your recruiter will fill you in on the details.
- International projects
- In-office, hybrid, or remote flexibility
- Medical healthcare
- Recognition program
- Ongoing learning & reimbursement
- Well-being program
- Team events & local benefits
- Sports compensation
- Referral bonuses
- Top-tier equipment provision
Exadel Culture
We lead with trust, respect, and purpose. We believe in open dialogue, creative freedom, and mentorship that helps you grow, lead, and make a real difference. Ours is a culture where ideas are challenged, voices are heard, and your impact matters.
Ready to apply?
Apply to Exadel
Lead Machine Learning Engineer
Share this job
Why Join Exadel
We’re an AI-first global tech company with 25+ years of engineering leadership, 2,000+ team members, and 500+ active projects powering Fortune 500 clients, including HBO, Microsoft, Google, and Starbucks.
From AI platforms to digital transformation, we partner with enterprise leaders to build what’s next.
What powers it all? Our people are ambitious, collaborative, and constantly evolving.
About the Client
The leading provider of vehicle lifecycle solutions, with headquarters in Chicago, enables the companies that build, insure, and replace vehicles to power the next generation of transportation. Its platform delivers advanced mobile, artificial intelligence, and car technologies. It connects a network of 350+ insurance companies, 24,000+ repair facilities, hundreds of parts suppliers, and dozens of third-party data and service providers. The customer's collective solutions enhance productivity and help clients deliver better experiences for end consumers.
What You’ll Do
- Deliver best-in-industry models for detection of subrogation opportunities using the latest ML advancements and best software engineering practices
- Meet and collaborate with business stakeholders (customers, sales and product managers) to drive the development of new models and features based on
- Collaborate with data engineering and software engineering team to ensure a smooth flow of data across teams and APIs related to outbound subrogation
- Mentor junior ML engineers in the outbound subro team to form a high-performing team
What You Bring
- Deep understanding of ML lifecycle: development, evaluation, deployment, monitoring, and iteration
- Excellent communication skills; ability to explain complex technical concepts to non- technical stakeholders
- Hands-on experience in experiment design and model valuation
- Expertise with ML system design, model deployment, and production ML systems
- Experience in engineering production-grade GenAI features with robust validation, sanity checks, and structured outputs to mitigate hallucination and business risk
- Proficiency with AWS stack related to ML (e.g. Sagemaker, Lambda, Stepfunctions, IAM)
- Strong software engineering fundamentals and best practices (CICD, Test-Driven Development, Infrastructure as Code)
- Experience translating business objectives into technical roadmaps and deliverables
- Ability to balance technical excellence with business priorities and timelines
- Strong stakeholder management and cross-functional collaboration skills
Nice to have
Experience in subrogation, claims processing, insurance or financial technology
Legal & Hiring Information
- Exadel is proud to be an Equal Opportunity Employer committed to inclusion across minority, gender identity, sexual orientation, disability, age, and more
- Reasonable accommodations are available to enable individuals with disabilities to perform essential functions
- Please note: this job description is not exhaustive. Duties and responsibilities may evolve based on business needs
Your Benefits at Exadel
Exadel benefits vary by location and contract type. Your recruiter will fill you in on the details.
- International projects
- In-office, hybrid, or remote flexibility
- Medical healthcare
- Recognition program
- Ongoing learning & reimbursement
- Well-being program
- Team events & local benefits
- Sports compensation
- Referral bonuses
- Top-tier equipment provision
Exadel Culture
We lead with trust, respect, and purpose. We believe in open dialogue, creative freedom, and mentorship that helps you grow, lead, and make a real difference. Ours is a culture where ideas are challenged, voices are heard, and your impact matters.
Ready to apply?
Apply to Exadel Inc (Website)
We are looking for a Senior/Lead ML Engineer to join us at Exadel. This role works closely with data scientists, software engineers, and subject matter experts in different business areas to build production systems capable of processing multi-document PDFs, with automated document type detection and field extraction at scale.
Why Join Exadel
We’re an AI-first global tech company with 25+ years of engineering leadership, 2,000+ team members, and 500+ active projects powering Fortune 500 clients, including HBO, Microsoft, Google, and Starbucks.
From AI platforms to digital transformation, we partner with enterprise leaders to build what’s next.
What powers it all? Our people are ambitious, collaborative, and constantly evolving.
About the Client
The leading provider of vehicle lifecycle solutions, with headquarters in Chicago, enables the companies that build, insure, and replace vehicles to power the next generation of transportation. Its platform delivers advanced mobile, artificial intelligence, and car technologies. It connects a network of 350+ insurance companies, 24,000+ repair facilities, hundreds of parts suppliers, and dozens of third-party data and service providers. The customer's collective solutions enhance productivity and help clients deliver better experiences for end consumers.
What You’ll Do
- Design and implement end-to-end document intelligence pipelines on AWS
- Develop and optimize ML models for document classification, segmentation, and field extraction
- Build scalable data processing systems handling PDFs up to 2000 pages
- Collaborate with subject matter experts to create and refine requirements for extraction
- Own features from research through production deployment and monitoring
- Establish evaluation frameworks and quality metrics for extraction accuracy
What You Bring
- Advanced knowledge of Python (native, Pandas, ScikitLearn, Tensorflow or Pytorch, PyStats, Pydantic)
- Experience with AWS tools for ML Engineering and ML deployment (Sagemaker, Lambda, Cloudformation/CDK, Step Functions)
- Advanced knowledge of SQL and Data Modeling
- Experience with GenAI for document intelligence, including prompt engineering, RAG (Retrieval Augmented Generation), multi-modal models (vision + text), and production deployment using AWS Bedrock or Azure OpenAI APIs
- Experience in experiment design (power analysis and hypothesis testing)
- Proficiency in both written and verbal communication, required for a remote and largely asynchronous work environment
- Demonstrated capacity to clearly and concisely communicate complex technical problems and propose iterative solutions
- Experience owning a feature from concept to production, including proposal, discussion, and execution
Nice to have
- Experience with document processing tools (AWS Textract, Azure Document Intelligence, or similar OCR/layout detection systems)
- Experience with PDF and Image processing libraries (e.g. PyMuPDF, opnecv, pillow)
- Experience in Machine Learning/ Data Science (e.g., ML algorithm selection, feature engineering, model training, hyperparameter tuning, supervised and unsupervised learning implementation, building a model pipelines, using Machine Learning tools/libraries/frameworks)
- Experience working with AWS big data technologies (Redshift, S3, EMR, Glue, etc.)
English level
Upper-intermediate
Legal & Hiring Information
- Exadel is proud to be an Equal Opportunity Employer committed to inclusion across minority, gender identity, sexual orientation, disability, age, and more
- Reasonable accommodations are available to enable individuals with disabilities to perform essential functions
- Please note: this job description is not exhaustive. Duties and responsibilities may evolve based on business needs
Your Benefits at Exadel
Exadel benefits vary by location and contract type. Your recruiter will fill you in on the details.
- International projects
- In-office, hybrid, or remote flexibility
- Medical healthcare
- Recognition program
- Ongoing learning & reimbursement
- Well-being program
- Team events & local benefits
- Sports compensation
- Referral bonuses
- Top-tier equipment provision
Exadel Culture
We lead with trust, respect, and purpose. We believe in open dialogue, creative freedom, and mentorship that helps you grow, lead, and make a real difference. Ours is a culture where ideas are challenged, voices are heard, and your impact matters.
Ready to apply?
Apply to Exadel
We are looking for a Senior/Lead ML Engineer to join us at Exadel. This role works closely with data scientists, software engineers, and subject matter experts in different business areas to build production systems capable of processing multi-document PDFs, with automated document type detection and field extraction at scale.
Why Join Exadel
We’re an AI-first global tech company with 25+ years of engineering leadership, 2,000+ team members, and 500+ active projects powering Fortune 500 clients, including HBO, Microsoft, Google, and Starbucks.
From AI platforms to digital transformation, we partner with enterprise leaders to build what’s next.
What powers it all? Our people are ambitious, collaborative, and constantly evolving.
About the Client
The leading provider of vehicle lifecycle solutions, with headquarters in Chicago, enables the companies that build, insure, and replace vehicles to power the next generation of transportation. Its platform delivers advanced mobile, artificial intelligence, and car technologies. It connects a network of 350+ insurance companies, 24,000+ repair facilities, hundreds of parts suppliers, and dozens of third-party data and service providers. The customer's collective solutions enhance productivity and help clients deliver better experiences for end consumers.
What You’ll Do
- Design and implement end-to-end document intelligence pipelines on AWS
- Develop and optimize ML models for document classification, segmentation, and field extraction
- Build scalable data processing systems handling PDFs up to 2000 pages
- Collaborate with subject matter experts to create and refine requirements for extraction
- Own features from research through production deployment and monitoring
- Establish evaluation frameworks and quality metrics for extraction accuracy
What You Bring
- Advanced knowledge of Python (native, Pandas, ScikitLearn, Tensorflow or Pytorch, PyStats, Pydantic)
- Experience with AWS tools for ML Engineering and ML deployment (Sagemaker, Lambda, Cloudformation/CDK, Step Functions)
- Advanced knowledge of SQL and Data Modeling
- Experience with GenAI for document intelligence, including prompt engineering, RAG (Retrieval Augmented Generation), multi-modal models (vision + text), and production deployment using AWS Bedrock or Azure OpenAI APIs
- Experience in experiment design (power analysis and hypothesis testing)
- Proficiency in both written and verbal communication, required for a remote and largely asynchronous work environment
- Demonstrated capacity to clearly and concisely communicate complex technical problems and propose iterative solutions
- Experience owning a feature from concept to production, including proposal, discussion, and execution
Nice to have
- Experience with document processing tools (AWS Textract, Azure Document Intelligence, or similar OCR/layout detection systems)
- Experience with PDF and Image processing libraries (e.g. PyMuPDF, opnecv, pillow)
- Experience in Machine Learning/ Data Science (e.g., ML algorithm selection, feature engineering, model training, hyperparameter tuning, supervised and unsupervised learning implementation, building a model pipelines, using Machine Learning tools/libraries/frameworks)
- Experience working with AWS big data technologies (Redshift, S3, EMR, Glue, etc.)
English level
Upper-intermediate
Legal & Hiring Information
- Exadel is proud to be an Equal Opportunity Employer committed to inclusion across minority, gender identity, sexual orientation, disability, age, and more
- Reasonable accommodations are available to enable individuals with disabilities to perform essential functions
- Please note: this job description is not exhaustive. Duties and responsibilities may evolve based on business needs
Your Benefits at Exadel
Exadel benefits vary by location and contract type. Your recruiter will fill you in on the details.
- International projects
- In-office, hybrid, or remote flexibility
- Medical healthcare
- Recognition program
- Ongoing learning & reimbursement
- Well-being program
- Team events & local benefits
- Sports compensation
- Referral bonuses
- Top-tier equipment provision
Exadel Culture
We lead with trust, respect, and purpose. We believe in open dialogue, creative freedom, and mentorship that helps you grow, lead, and make a real difference. Ours is a culture where ideas are challenged, voices are heard, and your impact matters.
Ready to apply?
Apply to Exadel
Senior/Lead Machine Learning Engineer
Share this job
We are looking for a Senior/Lead ML Engineer to join us at Exadel. This role works closely with data scientists, software engineers, and subject matter experts in different business areas to build production systems capable of processing multi-document PDFs, with automated document type detection and field extraction at scale.
Why Join Exadel
We’re an AI-first global tech company with 25+ years of engineering leadership, 2,000+ team members, and 500+ active projects powering Fortune 500 clients, including HBO, Microsoft, Google, and Starbucks.
From AI platforms to digital transformation, we partner with enterprise leaders to build what’s next.
What powers it all? Our people are ambitious, collaborative, and constantly evolving.
About the Client
The leading provider of vehicle lifecycle solutions, with headquarters in Chicago, enables the companies that build, insure, and replace vehicles to power the next generation of transportation. Its platform delivers advanced mobile, artificial intelligence, and car technologies. It connects a network of 350+ insurance companies, 24,000+ repair facilities, hundreds of parts suppliers, and dozens of third-party data and service providers. The customer's collective solutions enhance productivity and help clients deliver better experiences for end consumers.
What You’ll Do
- Design and implement end-to-end document intelligence pipelines on AWS
- Develop and optimize ML models for document classification, segmentation, and field extraction
- Build scalable data processing systems handling PDFs up to 2000 pages
- Collaborate with subject matter experts to create and refine requirements for extraction
- Own features from research through production deployment and monitoring
- Establish evaluation frameworks and quality metrics for extraction accuracy
What You Bring
- Advanced knowledge of Python (native, Pandas, ScikitLearn, Tensorflow or Pytorch, PyStats, Pydantic)
- Experience with AWS tools for ML Engineering and ML deployment (Sagemaker, Lambda, Cloudformation/CDK, Step Functions)
- Advanced knowledge of SQL and Data Modeling
- Experience with GenAI for document intelligence, including prompt engineering, RAG (Retrieval Augmented Generation), multi-modal models (vision + text), and production deployment using AWS Bedrock or Azure OpenAI APIs
- Experience in experiment design (power analysis and hypothesis testing)
- Proficiency in both written and verbal communication, required for a remote and largely asynchronous work environment
- Demonstrated capacity to clearly and concisely communicate complex technical problems and propose iterative solutions
- Experience owning a feature from concept to production, including proposal, discussion, and execution
Nice to have
- Experience with document processing tools (AWS Textract, Azure Document Intelligence, or similar OCR/layout detection systems)
- Experience with PDF and Image processing libraries (e.g. PyMuPDF, opnecv, pillow)
- Experience in Machine Learning/ Data Science (e.g., ML algorithm selection, feature engineering, model training, hyperparameter tuning, supervised and unsupervised learning implementation, building a model pipelines, using Machine Learning tools/libraries/frameworks)
- Experience working with AWS big data technologies (Redshift, S3, EMR, Glue, etc.)
English level
Upper-intermediate
Legal & Hiring Information
- Exadel is proud to be an Equal Opportunity Employer committed to inclusion across minority, gender identity, sexual orientation, disability, age, and more
- Reasonable accommodations are available to enable individuals with disabilities to perform essential functions
- Please note: this job description is not exhaustive. Duties and responsibilities may evolve based on business needs
Your Benefits at Exadel
Exadel benefits vary by location and contract type. Your recruiter will fill you in on the details.
- International projects
- In-office, hybrid, or remote flexibility
- Medical healthcare
- Recognition program
- Ongoing learning & reimbursement
- Well-being program
- Team events & local benefits
- Sports compensation
- Referral bonuses
- Top-tier equipment provision
Exadel Culture
We lead with trust, respect, and purpose. We believe in open dialogue, creative freedom, and mentorship that helps you grow, lead, and make a real difference. Ours is a culture where ideas are challenged, voices are heard, and your impact matters.
Ready to apply?
Apply to Exadel Inc (Website)
We are looking for a Senior ML Engineer to join us at Exadel. This role works closely with data scientists, software engineers, and subject matter experts in different business areas to build production systems capable of processing multi-document PDFs, with automated document type detection and field extraction at scale.
Why Join Exadel
We’re an AI-first global tech company with 25+ years of engineering leadership, 2,000+ team members, and 500+ active projects powering Fortune 500 clients, including HBO, Microsoft, Google, and Starbucks. From AI platforms to digital transformation, we partner with enterprise leaders to build what’s next.
What powers it all? Our people are ambitious, collaborative, and constantly evolving.
About the Client
The leading provider of vehicle lifecycle solutions, with headquarters in Chicago, enables the companies that build, insure, and replace vehicles to power the next generation of transportation. Its platform delivers advanced mobile, artificial intelligence, and car technologies. It connects a network of 350+ insurance companies, 24,000+ repair facilities, hundreds of parts suppliers, and dozens of third-party data and service providers. The customer's collective solutions enhance productivity and help clients deliver better experiences for end consumers.
What You’ll Do
- Design and implement end-to-end document intelligence pipelines on AWS
- Develop and optimize ML models for document classification,segmentation, and field extraction
- Build scalable data processing systems handling PDFs up to 2000 pages
- Collaborate with subject matter experts to create and refine requirements for extraction
- Own features from research through production deployment and monitoring
- Establish evaluation frameworks and quality metrics for extraction accuracy
What You Bring
- Advanced knowledge of Python (native, Pandas, ScikitLearn, Tensorflow or Pytorch, PyStats, Pydantic)
- Experience with AWS tools for ML Engineering and ML deployment(Sag
- emaker, Lambda, Cloudformation/CDK, Step Functions)
- Advanced knowledge of SQL and Data Modeling
- Experience with GenAI for document intelligence, including prompt engineering, RAG (Retrieval Augmented Generation), multi-modal models (vision + text), and production deployment using AWS Bedrock or Azure OpenAI APIs
- Experience in experiment design (power analysis and hypothesis testing)
- Proficiency in both written and verbal communication, required for a remote and largely asynchronous work environment
- Demonstrated capacity to clearly and concisely communicate complex technical problems and propose iterative solutions
- Experience owning a feature from concept to production, including proposal, discussion, and execution
Nice to have
- Experience with document processing tools (AWS Textract, Azure, Document Intelligence, or similar OCR/layout detection systems)
- Experience with PDF and Image processing libraries (e.g. PyMuPDF, opnecv, pillow)
- Experience in Machine Learning/ Data Science (e.g., ML algorithm selection, feature engineering, model training, hyperparameter tuning, supervised and unsupervised learning implementation, building a model pipelines, using Machine Learning tools/libraries/frameworks)
- Experience working with AWS big data technologies (Redshift, S3, EMR, Glue, etc.)
English level
Upper-intermediate
Legal & Hiring Information
- Exadel is proud to be an Equal Opportunity Employer committed to inclusion across minority, gender identity, sexual orientation, disability, age, and more
- Reasonable accommodations are available to enable individuals with disabilities to perform essential functions
- Please note: this job description is not exhaustive. Duties and responsibilities may evolve based on business needs
Your Benefits at Exadel
Exadel benefits vary by location and contract type. Your recruiter will fill you in on the details.
- International projects
- In-office, hybrid, or remote flexibility
- Medical healthcare
- Recognition program
- Ongoing learning & reimbursement
- Well-being program
- Team events & local benefits
- Sports compensation
- Referral bonuses
- Top-tier equipment provision
Exadel Culture
We lead with trust, respect, and purpose. We believe in open dialogue, creative freedom, and mentorship that helps you grow, lead, and make a real difference. Ours is a culture where ideas are challenged, voices are heard, and your impact matters.
Ready to apply?
Apply to Exadel
We are looking for a Senior ML Engineer to join us at Exadel. This role works closely with data scientists, software engineers, and subject matter experts in different business areas to build production systems capable of processing multi-document PDFs, with automated document type detection and field extraction at scale.
Why Join Exadel
We’re an AI-first global tech company with 25+ years of engineering leadership, 2,000+ team members, and 500+ active projects powering Fortune 500 clients, including HBO, Microsoft, Google, and Starbucks. From AI platforms to digital transformation, we partner with enterprise leaders to build what’s next.
What powers it all? Our people are ambitious, collaborative, and constantly evolving.
About the Client
The leading provider of vehicle lifecycle solutions, with headquarters in Chicago, enables the companies that build, insure, and replace vehicles to power the next generation of transportation. Its platform delivers advanced mobile, artificial intelligence, and car technologies. It connects a network of 350+ insurance companies, 24,000+ repair facilities, hundreds of parts suppliers, and dozens of third-party data and service providers. The customer's collective solutions enhance productivity and help clients deliver better experiences for end consumers.
What You’ll Do
- Design and implement end-to-end document intelligence pipelines on AWS
- Develop and optimize ML models for document classification,segmentation, and field extraction
- Build scalable data processing systems handling PDFs up to 2000 pages
- Collaborate with subject matter experts to create and refine requirements for extraction
- Own features from research through production deployment and monitoring
- Establish evaluation frameworks and quality metrics for extraction accuracy
What You Bring
- Advanced knowledge of Python (native, Pandas, ScikitLearn, Tensorflow or Pytorch, PyStats, Pydantic)
- Experience with AWS tools for ML Engineering and ML deployment(Sag
- emaker, Lambda, Cloudformation/CDK, Step Functions)
- Advanced knowledge of SQL and Data Modeling
- Experience with GenAI for document intelligence, including prompt engineering, RAG (Retrieval Augmented Generation), multi-modal models (vision + text), and production deployment using AWS Bedrock or Azure OpenAI APIs
- Experience in experiment design (power analysis and hypothesis testing)
- Proficiency in both written and verbal communication, required for a remote and largely asynchronous work environment
- Demonstrated capacity to clearly and concisely communicate complex technical problems and propose iterative solutions
- Experience owning a feature from concept to production, including proposal, discussion, and execution
Nice to have
- Experience with document processing tools (AWS Textract, Azure, Document Intelligence, or similar OCR/layout detection systems)
- Experience with PDF and Image processing libraries (e.g. PyMuPDF, opnecv, pillow)
- Experience in Machine Learning/ Data Science (e.g., ML algorithm selection, feature engineering, model training, hyperparameter tuning, supervised and unsupervised learning implementation, building a model pipelines, using Machine Learning tools/libraries/frameworks)
- Experience working with AWS big data technologies (Redshift, S3, EMR, Glue, etc.)
English level
Upper-intermediate
Legal & Hiring Information
- Exadel is proud to be an Equal Opportunity Employer committed to inclusion across minority, gender identity, sexual orientation, disability, age, and more
- Reasonable accommodations are available to enable individuals with disabilities to perform essential functions
- Please note: this job description is not exhaustive. Duties and responsibilities may evolve based on business needs
Your Benefits at Exadel
Exadel benefits vary by location and contract type. Your recruiter will fill you in on the details.
- International projects
- In-office, hybrid, or remote flexibility
- Medical healthcare
- Recognition program
- Ongoing learning & reimbursement
- Well-being program
- Team events & local benefits
- Sports compensation
- Referral bonuses
- Top-tier equipment provision
Exadel Culture
We lead with trust, respect, and purpose. We believe in open dialogue, creative freedom, and mentorship that helps you grow, lead, and make a real difference. Ours is a culture where ideas are challenged, voices are heard, and your impact matters.
Ready to apply?
Apply to Exadel
We are looking for a Senior ML Engineer to join us at Exadel. This role works closely with data scientists, software engineers, and subject matter experts in different business areas to build production systems capable of processing multi-document PDFs, with automated document type detection and field extraction at scale.
Why Join Exadel
We’re an AI-first global tech company with 25+ years of engineering leadership, 2,000+ team members, and 500+ active projects powering Fortune 500 clients, including HBO, Microsoft, Google, and Starbucks. From AI platforms to digital transformation, we partner with enterprise leaders to build what’s next.
What powers it all? Our people are ambitious, collaborative, and constantly evolving.
About the Client
The leading provider of vehicle lifecycle solutions, with headquarters in Chicago, enables the companies that build, insure, and replace vehicles to power the next generation of transportation. Its platform delivers advanced mobile, artificial intelligence, and car technologies. It connects a network of 350+ insurance companies, 24,000+ repair facilities, hundreds of parts suppliers, and dozens of third-party data and service providers. The customer's collective solutions enhance productivity and help clients deliver better experiences for end consumers.
What You’ll Do
- Design and implement end-to-end document intelligence pipelines on AWS
- Develop and optimize ML models for document classification,segmentation, and field extraction
- Build scalable data processing systems handling PDFs up to 2000 pages
- Collaborate with subject matter experts to create and refine requirements for extraction
- Own features from research through production deployment and monitoring
- Establish evaluation frameworks and quality metrics for extraction accuracy
What You Bring
- Advanced knowledge of Python (native, Pandas, ScikitLearn, Tensorflow or Pytorch, PyStats, Pydantic)
- Experience with AWS tools for ML Engineering and ML deployment(Sag
- emaker, Lambda, Cloudformation/CDK, Step Functions)
- Advanced knowledge of SQL and Data Modeling
- Experience with GenAI for document intelligence, including prompt engineering, RAG (Retrieval Augmented Generation), multi-modal models (vision + text), and production deployment using AWS Bedrock or Azure OpenAI APIs
- Experience in experiment design (power analysis and hypothesis testing)
- Proficiency in both written and verbal communication, required for a remote and largely asynchronous work environment
- Demonstrated capacity to clearly and concisely communicate complex technical problems and propose iterative solutions
- Experience owning a feature from concept to production, including proposal, discussion, and execution
Nice to have
- Experience with document processing tools (AWS Textract, Azure, Document Intelligence, or similar OCR/layout detection systems)
- Experience with PDF and Image processing libraries (e.g. PyMuPDF, opnecv, pillow)
- Experience in Machine Learning/ Data Science (e.g., ML algorithm selection, feature engineering, model training, hyperparameter tuning, supervised and unsupervised learning implementation, building a model pipelines, using Machine Learning tools/libraries/frameworks)
- Experience working with AWS big data technologies (Redshift, S3, EMR, Glue, etc.)
English level
Upper-intermediate
Legal & Hiring Information
- Exadel is proud to be an Equal Opportunity Employer committed to inclusion across minority, gender identity, sexual orientation, disability, age, and more
- Reasonable accommodations are available to enable individuals with disabilities to perform essential functions
- Please note: this job description is not exhaustive. Duties and responsibilities may evolve based on business needs
Your Benefits at Exadel
Exadel benefits vary by location and contract type. Your recruiter will fill you in on the details.
- International projects
- In-office, hybrid, or remote flexibility
- Medical healthcare
- Recognition program
- Ongoing learning & reimbursement
- Well-being program
- Team events & local benefits
- Sports compensation
- Referral bonuses
- Top-tier equipment provision
Exadel Culture
We lead with trust, respect, and purpose. We believe in open dialogue, creative freedom, and mentorship that helps you grow, lead, and make a real difference. Ours is a culture where ideas are challenged, voices are heard, and your impact matters.
Ready to apply?
Apply to Exadel
Senior/Lead Machine Learning Engineer
Share this job
We are looking for a Senior ML Engineer to join us at Exadel. This role works closely with data scientists, software engineers, and subject matter experts in different business areas to build production systems capable of processing multi-document PDFs, with automated document type detection and field extraction at scale.
Why Join Exadel
We’re an AI-first global tech company with 25+ years of engineering leadership, 2,000+ team members, and 500+ active projects powering Fortune 500 clients, including HBO, Microsoft, Google, and Starbucks. From AI platforms to digital transformation, we partner with enterprise leaders to build what’s next.
What powers it all? Our people are ambitious, collaborative, and constantly evolving.
About the Client
The leading provider of vehicle lifecycle solutions, with headquarters in Chicago, enables the companies that build, insure, and replace vehicles to power the next generation of transportation. Its platform delivers advanced mobile, artificial intelligence, and car technologies. It connects a network of 350+ insurance companies, 24,000+ repair facilities, hundreds of parts suppliers, and dozens of third-party data and service providers. The customer's collective solutions enhance productivity and help clients deliver better experiences for end consumers.
What You’ll Do
- Design and implement end-to-end document intelligence pipelines on AWS
- Develop and optimize ML models for document classification,segmentation, and field extraction
- Build scalable data processing systems handling PDFs up to 2000 pages
- Collaborate with subject matter experts to create and refine requirements for extraction
- Own features from research through production deployment and monitoring
- Establish evaluation frameworks and quality metrics for extraction accuracy
What You Bring
- Advanced knowledge of Python (native, Pandas, ScikitLearn, Tensorflow or Pytorch, PyStats, Pydantic)
- Experience with AWS tools for ML Engineering and ML deployment(Sag
- emaker, Lambda, Cloudformation/CDK, Step Functions)
- Advanced knowledge of SQL and Data Modeling
- Experience with GenAI for document intelligence, including prompt engineering, RAG (Retrieval Augmented Generation), multi-modal models (vision + text), and production deployment using AWS Bedrock or Azure OpenAI APIs
- Experience in experiment design (power analysis and hypothesis testing)
- Proficiency in both written and verbal communication, required for a remote and largely asynchronous work environment
- Demonstrated capacity to clearly and concisely communicate complex technical problems and propose iterative solutions
- Experience owning a feature from concept to production, including proposal, discussion, and execution
Nice to have
- Experience with document processing tools (AWS Textract, Azure, Document Intelligence, or similar OCR/layout detection systems)
- Experience with PDF and Image processing libraries (e.g. PyMuPDF, opnecv, pillow)
- Experience in Machine Learning/ Data Science (e.g., ML algorithm selection, feature engineering, model training, hyperparameter tuning, supervised and unsupervised learning implementation, building a model pipelines, using Machine Learning tools/libraries/frameworks)
- Experience working with AWS big data technologies (Redshift, S3, EMR, Glue, etc.)
English level
Upper-intermediate
Legal & Hiring Information
- Exadel is proud to be an Equal Opportunity Employer committed to inclusion across minority, gender identity, sexual orientation, disability, age, and more
- Reasonable accommodations are available to enable individuals with disabilities to perform essential functions
- Please note: this job description is not exhaustive. Duties and responsibilities may evolve based on business needs
Your Benefits at Exadel
Exadel benefits vary by location and contract type. Your recruiter will fill you in on the details.
- International projects
- In-office, hybrid, or remote flexibility
- Medical healthcare
- Recognition program
- Ongoing learning & reimbursement
- Well-being program
- Team events & local benefits
- Sports compensation
- Referral bonuses
- Top-tier equipment provision
Exadel Culture
We lead with trust, respect, and purpose. We believe in open dialogue, creative freedom, and mentorship that helps you grow, lead, and make a real difference. Ours is a culture where ideas are challenged, voices are heard, and your impact matters.
Ready to apply?
Apply to Exadel Inc (Website)
OPSWAT, a global leader in IT, OT, and ICS critical infrastructure cybersecurity, delivers an end-to-end platform that gives public and private sector organizations and enterprises the critical advantage needed to protect their complex networks, secure their devices, and ensure compliance. Over the last 20 years our commitment to innovative technology has earned the trust of more than 1,700 organizations, governments, and institutions globally, solidifying our role in protecting the world’s critical infrastructure and securing our way of life.
The Product: MetaDefender Managed File Trasnfer
MetaDefender MFT Enterprise is the next-generation evolution of OPSWAT's Managed File Transfer solution — a complete architecture designed for scale, security, and the future. It is built to be:
- A modern, scalable, and resilient platform capable of serving millions of users across enterprise and SaaS deployments.
- A secure file exchange solution for both humans and systems, embedding OPSWAT's threat prevention technology — multiscanning, Deep CDR, and DLP — directly into every file flow.
- A future-ready foundation that supports cloud-native SaaS delivery alongside traditional on-premise enterprise deployments.
You will be one of the engineers building MFT Enterprise from the ground up — setting architecture patterns, defining quality standards, and shipping a platform trusted by governments and critical infrastructure operators worldwide.
The Position
At OPSWAT’s Technology Development Centre in Timisoara, we are looking for talented AI Native .NET Engineer to join our team working on one of our most strategic solutions: MetaDefender Secure Managed File Transfer (MFT). If you’re experienced in backend development, interested in cybersecurity, and excited to make real-world impact by protecting critical infrastructure, this is your opportunity!
In Timisoara, in the heart of a peaceful, friendly, historic city, we have created a modern, inspiring office environment that encourages collaboration, where friendly, direct relationships between colleagues and high-quality professional work are equally important. Using modern, innovative technologies, we work on products that truly contribute to making our world safer at one of the world's leading cybersecurity companies.
We support professional development through training, mentoring, and real opportunities for advancement. The Timisoara office offers the perfect balance of calm and professionalism – a modern environment, friendly people, and a strong team spirit.
If you want to work in a place where your knowledge is valued and you are treated as a person, then OPSWAT Timisoara is the place for you.
As an AI Native .NET Engineer, you use AI agents as core development tools — generating code, scaffolding tests, and reviewing outputs with a critical eye. You work within an established architectural framework, contribute features end-to-end, and grow toward broader ownership over time. You are measured by the quality of what you ship and the speed at which you grow, not the volume of your commits. You have solid .NET fundamentals and the instincts to catch what agents miss.
If you’re interested in working as an AI Native .NET Engineer at OPSWAT, please apply, and we will get in touch!
You Will Have The Opportunity to
- Deliver features end-to-end within a defined scope — work from clear requirements, write clean, tested .NET code, and drive your work to completion with growing accountability.
- Work with AI as a first-class collaborator — your primary workflow involves orchestrating agents to create specs, generate code and tests, verify results, and perform reviews. Delegate well-scoped tasks to agents, then review, validate, and own every line that ships.
- Participate in code reviews with a security-first lens, offering constructive feedback and holding the quality bar for both human-written and AI-generated code.
- Contribute to custom coding harnesses and test frameworks — work within established AI-assisted development scaffolding, and suggest improvements as you deepen your understanding of the codebase.
- Maintain and evolve the .NET Core codebase, continuously raising performance, scalability, and code quality as the product grows toward millions of users.
- Author and keep current AI context files for every service you own — machine-readable architecture docs that encode coding standards, architectural constraints, and forbidden patterns so agents produce consistent, safe, on-pattern code across the team.
- Support AI-native engineering practices for the MFT Enterprise team — contribute to playbooks, context file standards, and review norms as they evolve.
What We Are Looking For
- AI-Native Fluency: Hands-on experience using AI agents as core engineering tools — you approach daily development tasks with an AI-native mindset. Must show real work (PRs, commit history, or portfolio) where agents contributed to shipped features.
- Technical Excellence (.NET Core / C#): Solid proficiency in .NET / C# with a S.O.L.I.D understanding of programming principles, design patterns, and best practices. AI tools amplify strong fundamentals — they do not replace them.
- Mission-Focused Delivery: 2+ years experience developing scalable solutions, including familiarity with relational/document databases and modern CI/CD systems for seamless integration and delivery.
- Quality and Test Discipline: Focus on high-quality tested solutions — proficiency in unit testing with xUnit or equivalent. Uses AI agents to generate test scaffolding quickly, then validates that coverage is real and meaningful.
- Growth Mindset: Passion for continuous learning. The AI coding ecosystem evolves rapidly — new models, agents, and tooling patterns ship constantly. This role requires staying current across the landscape and actively improving team workflows as the toolchain matures.
It Would Be Nice If You Had
- Agent Discipline: Writes precise, unambiguous task specifications that agents can execute without re-prompting, and treats all AI-generated code as a junior engineer’s PR — reviewing for logic, security, edge-case handling, and architectural fit before anything ships.
- Async programming (.NET): Knowledge of asynchronous .NET patterns — async/await, TPL — with experience validating AI-generated async code for thread-safety in high-throughput scenarios.
- Cloud-native and containers: Hands-on with Docker, Kubernetes, and AWS/Azure/GCP — and experience using AI agents to script infrastructure and deployment automation tasks.
- Security review of AI-generated code: Security-first instincts for reviewing AI-generated code: spotting injection risks, insecure defaults, missing input validation, and privilege escalation vectors in file-handling and authentication code.
- AI context file authoring: Experience authoring AI context files (e.g., CLAUDE.md, .cursorrules, or equivalent) that encode architecture decisions and forbidden patterns for consistent, safe AI output across a team.
- AI in CI/CD pipelines: Familiarity with running AI agents inside CI/CD pipelines — auto-fixing lint, generating missing tests, or running safe migrations as pipeline steps.
- Personal projects: A home or personal project that demonstrates commitment to programming — including any AI-tooled projects that show how you work with agents.
Why You'll Love Working Here
- Work on a greenfield next generation platform — architecture decisions you make now will shape a product serving millions of users.
- Stable, growing international company background with an exceptional customer group across 50+ countries.
- Modern technology environment with active investment in AI-native engineering practices.
- Professional development through training, mentoring, and real opportunities for advancement.
- Romania: Timisoara office — modern environment, direct team culture, strong engineering community.
- Hungary: Veszprém Technology Development Centre — collaborative office in a historic city, friendly direct relationships, regular team events.
- Attractive compensation with regular performance assessments, and team activities.
OPSWAT is an equal opportunity employer. We celebrate diversity and are committed to providing an environment where equal employment opportunities are extended to all employees and applicants, free of discrimination and harassment of any type. All employment decisions are based on individual qualifications, job requirements, and business needs without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other category protected by federal, state, or local laws.
Recruiting Agencies: we do not accept unsolicited resumes from third party agencies for any of our open positions. To submit resumes for our jobs, there must be a recruiting contract approved by our legal team and endorsed by both parties. We are currently not accepting additional 3rd party agencies at this time.
Ready to apply?
Apply to OPSWAT
AI Native Senior .NET Engineer (on-site)
Share this job
OPSWAT, a global leader in IT, OT, and ICS critical infrastructure cybersecurity, delivers an end-to-end platform that gives public and private sector organizations and enterprises the critical advantage needed to protect their complex networks, secure their devices, and ensure compliance. Over the last 20 years our commitment to innovative technology has earned the trust of more than 1,700 organizations, governments, and institutions globally, solidifying our role in protecting the world’s critical infrastructure and securing our way of life.
The Product: MetaDefender MFT
MetaDefender MFT Enterprise is the next-generation evolution of OPSWAT's Managed File Transfer solution — a complete rearchitecture designed for scale, security, and the future. It is built to be:
- A modern, scalable, and resilient platform capable of serving millions of users across enterprise and SaaS deployments.
- A secure file exchange solution for both humans and systems, embedding OPSWAT's threat prevention technology — multiscanning, Deep CDR, and DLP — directly into every file flow.
- A future-ready foundation that supports cloud-native SaaS delivery alongside traditional on-premise enterprise deployments.
You will be one of the engineers building MFT Enterprise from the ground up — setting architecture patterns, defining quality standards, and shipping a platform trusted by governments and critical infrastructure operators worldwide.
The Position
At OPSWAT’s Technology Development Centre in Timisoara, we are looking for talented AI Native Senior .NET Engineer to join our team working on one of our most strategic solutions: MetaDefender Secure Managed File Transfer (MFT). If you’re experienced in backend development, interested in cybersecurity, and excited to make real-world impact by protecting critical infrastructure, this is your opportunity!
As an AI Native Senior .NET Engineer, you orchestrate a fleet of AI agents to architect, build, and deploy production-grade systems, and AI agents are a core part of your daily workflow. You build complex multi-service systems, create custom coding harnesses and test frameworks, and reverse-engineer existing systems entirely through AI workflows. You are measured by the speed of deployment and the robustness of what you ship, not the volume of your commits. You think in terms of “how do these pieces fit together as a system” and blend product, design, and analytical thinking into your delivery.
If you’re interested in working as an AI Native Senior .NET Engineer at OPSWAT, please apply, and we will get in touch!
You Will Have the Opportunity to
- Take ownership of features from concept to delivery: write precise specifications, work closely with teammates and stakeholders to refine requirements, and drive your work through to production with full accountability.
- Work with AI as a first-class collaborator — your primary workflow involves orchestrating agents to create specs, generate code and tests, verify results, and perform reviews. Delegate well-scoped tasks to agents, then review, validate, and own every line that ships.
- Participate in code reviews with a security-first lens, offering constructive feedback and holding the quality bar for both human-written and AI-generated code.
- Create custom coding harnesses and test frameworks for structured, repeatable AI-assisted development — giving the team reliable scaffolding that agents can operate within safely and consistently.
- Maintain and evolve the .NET Core codebase, continuously raising performance, scalability, and code quality as the product grows toward millions of users.
- Author and keep current AI context files for every service you own — machine-readable architecture docs that encode coding standards, architectural constraints, and forbidden patterns so agents produce consistent, safe, on-pattern code across the team.
- Help define and codify AI-native engineering practices for the MFT Enterprise team — establishing playbooks, context file standards, and review norms the broader engineering organization can adopt.
What We Are Looking For
- AI-Native Fluency: Deep, hands-on experience integrating AI agents as core engineering tools, not add-ons — you approach every problem with an AI-native mindset. Must show real work (PRs, commit history, or portfolio) where agents drove backend velocity
- Technical Excellence (.NET Core / C#): Strong proficiency in .NET / C# with a S.O.L.I.D understanding of programming principles, design patterns, and best practices. AI tools amplify strong fundamentals — they do not replace them.
- Mission-Focused Delivery: 5+ years experience developing scalable solutions, including familiarity with relational/document databases and modern CI/CD systems for seamless integration and delivery.
- Quality and Test Discipline: Focus on high-quality tested solutions — proficiency in unit testing with xUnit or equivalent. Uses AI agents to generate test scaffolding quickly, then validates that coverage is real and meaningful.
- Growth Mindset: Passion for continuous learning. The AI coding ecosystem evolves rapidly — new models, agents, and tooling patterns ship constantly. This role requires staying current across the landscape and actively improving team workflows as the toolchain matures.
It Would Be Nice If You Had
- Agent Discipline: Writes precise, unambiguous task specifications that agents can execute without re-prompting, and treats all AI-generated code as a junior engineer’s PR — reviewing for logic, security, edge-case handling, and architectural fit before anything ships.
- Async programming (.NET): Knowledge of asynchronous .NET patterns — async/await, TPL — with experience validating AI-generated async code for thread-safety in high-throughput scenarios.
- Cloud-native and containers: Hands-on with Docker, Kubernetes, and AWS/Azure/GCP — and experience using AI agents to script infrastructure and deployment automation tasks.
- Security review of AI-generated code: Security-first instincts for reviewing AI-generated code: spotting injection risks, insecure defaults, missing input validation, and privilege escalation vectors in file-handling and authentication code.
- AI context file authoring: Experience authoring AI context files (e.g., CLAUDE.md, .cursorrules, or equivalent) that encode architecture decisions and forbidden patterns for consistent, safe AI output across a team.
- AI in CI/CD pipelines: Familiarity with running AI agents inside CI/CD pipelines — auto-fixing lint, generating missing tests, or running safe migrations as pipeline steps.
- Personal projects: A home or personal project that demonstrates commitment to programming — including any AI-tooled projects that show how you work with agents.
Why You'll Love Working Here
- Work on a greenfield next generation platform — architecture decisions you make now will shape a product serving millions of users.
- Stable, growing international company background with an exceptional customer group across 50+ countries.
- Modern technology environment with active investment in AI-native engineering practices.
- Professional development through training, mentoring, and real opportunities for advancement.
- Romania: Timisoara office — modern environment, direct team culture, strong engineering community.
- Hungary: Veszprém Technology Development Centre — collaborative office in a historic city, friendly direct relationships, regular team events.
- Attractive compensation with regular performance assessments, and team activities.
OPSWAT is an equal opportunity employer. We celebrate diversity and are committed to providing an environment where equal employment opportunities are extended to all employees and applicants, free of discrimination and harassment of any type. All employment decisions are based on individual qualifications, job requirements, and business needs without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other category protected by federal, state, or local laws.
Recruiting Agencies: we do not accept unsolicited resumes from third party agencies for any of our open positions. To submit resumes for our jobs, there must be a recruiting contract approved by our legal team and endorsed by both parties. We are currently not accepting additional 3rd party agencies at this time.
Ready to apply?
Apply to OPSWAT
OPSWAT, a global leader in IT, OT, and ICS critical infrastructure cybersecurity, delivers an end-to-end platform that gives public and private sector organizations and enterprises the critical advantage needed to protect their complex networks, secure their devices, and ensure compliance. Over the last 20 years our commitment to innovative technology has earned the trust of more than 1,700 organizations, governments, and institutions globally, solidifying our role in protecting the world’s critical infrastructure and securing our way of life.
The Product: MetaDefender Managed File Trasnfer
MetaDefender MFT Enterprise is the next-generation evolution of OPSWAT's Managed File Transfer solution — a complete rearchitecture designed for scale, security, and the future. It is built to be:
- A modern, scalable, and resilient platform capable of serving millions of users across enterprise and SaaS deployments.
- A secure file exchange solution for both humans and systems, embedding OPSWAT's threat prevention technology — multiscanning, Deep CDR, and DLP — directly into every file flow.
- A future-ready foundation that supports cloud-native SaaS delivery alongside traditional on-premise enterprise deployments.
You will be one of the engineers building MFT Enterprise from the ground up — setting architecture patterns, defining quality standards, and shipping a platform trusted by governments and critical infrastructure operators worldwide.
The Position
At OPSWAT’s Technology Development Centre in Veszprém, we are looking for talented AI Native .NET Engineer to join our team working on one of our most strategic solutions: MetaDefender Secure Managed File Transfer (MFT). If you’re experienced in backend development, interested in cybersecurity, and excited to make real-world impact by protecting critical infrastructure, this is your opportunity!
In Veszprém, in the heart of a peaceful, friendly, historic city, we have created a modern, inspiring office environment that encourages collaboration, where friendly, direct relationships between colleagues and high-quality professional work are equally important. Using modern, innovative technologies, we work on products that truly contribute to making our world safer at one of the world's leading cybersecurity companies.
We support professional development through training, mentoring, and real opportunities for advancement. The Veszprém office offers the perfect balance of calm and professionalism – a modern environment, friendly people, and a strong team spirit.
If you want to work in a place where your knowledge is valued and you are treated as a person, then OPSWAT Veszprém is the place for you.
As an AI Native .NET Engineer, you use AI agents as core development tools — generating code, scaffolding tests, and reviewing outputs with a critical eye. You work within an established architectural framework, contribute features end-to-end, and grow toward broader ownership over time. You are measured by the quality of what you ship and the speed at which you grow, not the volume of your commits. You have solid .NET fundamentals and the instincts to catch what agents miss.
If you’re interested in working as an AI Native .NET Engineer at OPSWAT, please apply, and we will get in touch!
You Will Have The Opportunity to
- Deliver features end-to-end within a defined scope — work from clear requirements, write clean, tested .NET code, and drive your work to completion with growing accountability.
- Work with AI as a first-class collaborator — your primary workflow involves orchestrating agents to create specs, generate code and tests, verify results, and perform reviews. Delegate well-scoped tasks to agents, then review, validate, and own every line that ships.
- Participate in code reviews with a security-first lens, offering constructive feedback and holding the quality bar for both human-written and AI-generated code.
- Contribute to custom coding harnesses and test frameworks — work within established AI-assisted development scaffolding, and suggest improvements as you deepen your understanding of the codebase.
- Maintain and evolve the .NET Core codebase, continuously raising performance, scalability, and code quality as the product grows toward millions of users.
- Author and keep current AI context files for every service you own — machine-readable architecture docs that encode coding standards, architectural constraints, and forbidden patterns so agents produce consistent, safe, on-pattern code across the team.
- Support AI-native engineering practices for the MFT Enterprise team — contribute to playbooks, context file standards, and review norms as they evolve.
What We Are Looking For
- AI-Native Fluency: Hands-on experience using AI agents as core engineering tools — you approach daily development tasks with an AI-native mindset. Must show real work (PRs, commit history, or portfolio) where agents contributed to shipped features.
- Technical Excellence (.NET Core / C#): Solid proficiency in .NET / C# with a S.O.L.I.D understanding of programming principles, design patterns, and best practices. AI tools amplify strong fundamentals — they do not replace them.
- Mission-Focused Delivery: 2+ years experience developing scalable solutions, including familiarity with relational/document databases and modern CI/CD systems for seamless integration and delivery.
- Quality and Test Discipline: Focus on high-quality tested solutions — proficiency in unit testing with xUnit or equivalent. Uses AI agents to generate test scaffolding quickly, then validates that coverage is real and meaningful.
- Growth Mindset: Passion for continuous learning. The AI coding ecosystem evolves rapidly — new models, agents, and tooling patterns ship constantly. This role requires staying current across the landscape and actively improving team workflows as the toolchain matures.
It Would Be Nice If You Had
- Agent Discipline: Writes precise, unambiguous task specifications that agents can execute without re-prompting, and treats all AI-generated code as a junior engineer’s PR — reviewing for logic, security, edge-case handling, and architectural fit before anything ships.
- Async programming (.NET): Knowledge of asynchronous .NET patterns — async/await, TPL — with experience validating AI-generated async code for thread-safety in high-throughput scenarios.
- Cloud-native and containers: Hands-on with Docker, Kubernetes, and AWS/Azure/GCP — and experience using AI agents to script infrastructure and deployment automation tasks.
- Security review of AI-generated code: Security-first instincts for reviewing AI-generated code: spotting injection risks, insecure defaults, missing input validation, and privilege escalation vectors in file-handling and authentication code.
- AI context file authoring: Experience authoring AI context files (e.g., CLAUDE.md, .cursorrules, or equivalent) that encode architecture decisions and forbidden patterns for consistent, safe AI output across a team.
- AI in CI/CD pipelines: Familiarity with running AI agents inside CI/CD pipelines — auto-fixing lint, generating missing tests, or running safe migrations as pipeline steps.
- Personal projects: A home or personal project that demonstrates commitment to programming — including any AI-tooled projects that show how you work with agents.
Why You'll Love Working Here
- Work on a greenfield next generation platform — architecture decisions you make now will shape a product serving millions of users.
- Stable, growing international company background with an exceptional customer group across 50+ countries.
- Modern technology environment with active investment in AI-native engineering practices.
- Professional development through training, mentoring, and real opportunities for advancement.
- Romania: Timisoara office — modern environment, direct team culture, strong engineering community.
- Hungary: Veszprém Technology Development Centre — collaborative office in a historic city, friendly direct relationships, regular team events.
- Attractive compensation with regular performance assessments, and team activities.
OPSWAT is an equal opportunity employer. We celebrate diversity and are committed to providing an environment where equal employment opportunities are extended to all employees and applicants, free of discrimination and harassment of any type. All employment decisions are based on individual qualifications, job requirements, and business needs without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other category protected by federal, state, or local laws.
Recruiting Agencies: we do not accept unsolicited resumes from third party agencies for any of our open positions. To submit resumes for our jobs, there must be a recruiting contract approved by our legal team and endorsed by both parties. We are currently not accepting additional 3rd party agencies at this time.
Ready to apply?
Apply to OPSWAT
OPSWAT, a global leader in IT, OT, and ICS critical infrastructure cybersecurity, delivers an end-to-end platform that gives public and private sector organizations and enterprises the critical advantage needed to protect their complex networks, secure their devices, and ensure compliance. Over the last 20 years our commitment to innovative technology has earned the trust of more than 1,700 organizations, governments, and institutions globally, solidifying our role in protecting the world’s critical infrastructure and securing our way of life.
The Product: MetaDefender MFT
MetaDefender MFT Enterprise is the next-generation evolution of OPSWAT's Managed File Transfer solution — a complete rearchitecture designed for scale, security, and the future. It is built to be:
- A modern, scalable, and resilient platform capable of serving millions of users across enterprise and SaaS deployments.
- A secure file exchange solution for both humans and systems, embedding OPSWAT's threat prevention technology — multiscanning, Deep CDR, and DLP — directly into every file flow.
- A future-ready foundation that supports cloud-native SaaS delivery alongside traditional on-premise enterprise deployments.
You will be one of the engineers building MFT Enterprise from the ground up — setting architecture patterns, defining quality standards, and shipping a platform trusted by governments and critical infrastructure operators worldwide.
The Position
At OPSWAT’s Technology Development Centre in Veszprém, we are looking for talented AI Native Senior .NET Engineer to join our team working on one of our most strategic solutions: MetaDefender Secure Managed File Transfer (MFT). If you’re experienced in backend development, interested in cybersecurity, and excited to make real-world impact by protecting critical infrastructure, this is your opportunity!
In Veszprém, in the heart of a peaceful, friendly, historic city, we have created a modern, inspiring office environment that encourages collaboration, where friendly, direct relationships between colleagues and high-quality professional work are equally important. Using modern, innovative technologies, we work on products that truly contribute to making our world safer at one of the world's leading cybersecurity companies.
We support professional development through training, mentoring, and real opportunities for advancement. The Veszprém office offers the perfect balance of calm and professionalism – a modern environment, friendly people, and a strong team spirit.
If you want to work in a place where your knowledge is valued and you are treated as a person, then OPSWAT Veszprém is the place for you.
As an AI Native Senior .NET Engineer, you orchestrate a fleet of AI agents to architect, build, and deploy production-grade systems, and AI agents are a core part of your daily workflow. You build complex multi-service systems, create custom coding harnesses and test frameworks, and reverse-engineer existing systems entirely through AI workflows. You are measured by the speed of deployment and the robustness of what you ship, not the volume of your commits. You think in terms of “how do these pieces fit together as a system” and blend product, design, and analytical thinking into your delivery.
If you’re interested in working as an AI Native Senior .NET Engineer at OPSWAT, please apply, and we will get in touch!
You Will Have the Opportunity to
- Take ownership of features from concept to delivery: write precise specifications, work closely with teammates and stakeholders to refine requirements, and drive your work through to production with full accountability.
- Work with AI as a first-class collaborator — your primary workflow involves orchestrating agents to create specs, generate code and tests, verify results, and perform reviews. Delegate well-scoped tasks to agents, then review, validate, and own every line that ships.
- Participate in code reviews with a security-first lens, offering constructive feedback and holding the quality bar for both human-written and AI-generated code.
- Create custom coding harnesses and test frameworks for structured, repeatable AI-assisted development — giving the team reliable scaffolding that agents can operate within safely and consistently.
- Maintain and evolve the .NET Core codebase, continuously raising performance, scalability, and code quality as the product grows toward millions of users.
- Author and keep current AI context files for every service you own — machine-readable architecture docs that encode coding standards, architectural constraints, and forbidden patterns so agents produce consistent, safe, on-pattern code across the team.
- Help define and codify AI-native engineering practices for the MFT Enterprise team — establishing playbooks, context file standards, and review norms the broader engineering organization can adopt.
What We Are Looking For
- AI-Native Fluency: Deep, hands-on experience integrating AI agents as core engineering tools, not add-ons — you approach every problem with an AI-native mindset. Must show real work (PRs, commit history, or portfolio) where agents drove backend velocity
- Technical Excellence (.NET Core / C#): Strong proficiency in .NET / C# with a S.O.L.I.D understanding of programming principles, design patterns, and best practices. AI tools amplify strong fundamentals — they do not replace them.
- Mission-Focused Delivery: 5+ years experience developing scalable solutions, including familiarity with relational/document databases and modern CI/CD systems for seamless integration and delivery.
- Quality and Test Discipline: Focus on high-quality tested solutions — proficiency in unit testing with xUnit or equivalent. Uses AI agents to generate test scaffolding quickly, then validates that coverage is real and meaningful.
- Growth Mindset: Passion for continuous learning. The AI coding ecosystem evolves rapidly — new models, agents, and tooling patterns ship constantly. This role requires staying current across the landscape and actively improving team workflows as the toolchain matures.
It Would Be Nice If You Had
- Agent Discipline: Writes precise, unambiguous task specifications that agents can execute without re-prompting, and treats all AI-generated code as a junior engineer’s PR — reviewing for logic, security, edge-case handling, and architectural fit before anything ships.
- Async programming (.NET): Knowledge of asynchronous .NET patterns — async/await, TPL — with experience validating AI-generated async code for thread-safety in high-throughput scenarios.
- Cloud-native and containers: Hands-on with Docker, Kubernetes, and AWS/Azure/GCP — and experience using AI agents to script infrastructure and deployment automation tasks.
- Security review of AI-generated code: Security-first instincts for reviewing AI-generated code: spotting injection risks, insecure defaults, missing input validation, and privilege escalation vectors in file-handling and authentication code.
- AI context file authoring: Experience authoring AI context files (e.g., CLAUDE.md, .cursorrules, or equivalent) that encode architecture decisions and forbidden patterns for consistent, safe AI output across a team.
- AI in CI/CD pipelines: Familiarity with running AI agents inside CI/CD pipelines — auto-fixing lint, generating missing tests, or running safe migrations as pipeline steps.
- Personal projects: A home or personal project that demonstrates commitment to programming — including any AI-tooled projects that show how you work with agents.
Why You'll Love Working Here
- Work on a greenfield next generation platform — architecture decisions you make now will shape a product serving millions of users.
- Stable, growing international company background with an exceptional customer group across 50+ countries.
- Modern technology environment with active investment in AI-native engineering practices.
- Professional development through training, mentoring, and real opportunities for advancement.
- Romania: Timisoara office — modern environment, direct team culture, strong engineering community.
- Hungary: Veszprém Technology Development Centre — collaborative office in a historic city, friendly direct relationships, regular team events.
- Attractive compensation with regular performance assessments, and team activities.
OPSWAT is an equal opportunity employer. We celebrate diversity and are committed to providing an environment where equal employment opportunities are extended to all employees and applicants, free of discrimination and harassment of any type. All employment decisions are based on individual qualifications, job requirements, and business needs without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other category protected by federal, state, or local laws.
Recruiting Agencies: we do not accept unsolicited resumes from third party agencies for any of our open positions. To submit resumes for our jobs, there must be a recruiting contract approved by our legal team and endorsed by both parties. We are currently not accepting additional 3rd party agencies at this time.
Ready to apply?
Apply to OPSWAT
OPSWAT, a global leader in IT, OT, and ICS critical infrastructure cybersecurity, delivers an end-to-end platform that gives public and private sector organizations and enterprises the critical advantage needed to protect their complex networks, secure their devices, and ensure compliance. Over the last 20 years our commitment to innovative technology has earned the trust of more than 1,700 organizations, governments, and institutions globally, solidifying our role in protecting the world’s critical infrastructure and securing our way of life.
The Position
At OPSWAT’s Technology Development Centre in Veszprém, we are looking for talented Machine Learning Engineers to join our teams developing advanced AI-driven cybersecurity solutions that protect critical infrastructure across the globe.
If you are knowledgeable, creative, and passionate about using data to design and build innovative machine learning models, and you’re eager to tackle complex challenges to create solutions no one else is developing, then you could be exactly who we’re looking for!
In Veszprém, in the heart of a peaceful, friendly, historic city, we have created a modern, inspiring office environment that encourages collaboration, where friendly, direct relationships between colleagues and high-quality professional work are equally important. Using modern, innovative technologies, we work on products that truly contribute to making our world safer at one of the world's leading cybersecurity companies. We support professional development through training, mentoring, and real opportunities for advancement. The Veszprém office offers the perfect balance of calm and professionalism – a modern environment, friendly people, and a strong team spirit.
If you want to work in a place where your knowledge is valued and you are treated as a person, then OPSWAT Veszprém is the place for you.
At OPSWAT, we believe that great talent is always worth getting to know, even when there are no current vacancies. Our Evergreen Machine Learning Engineer position offers continuously open opportunities for enthusiastic and motivated professionals who may join us in the future. It is not tied to a specific vacancy, but it enables us to get to know you and stay in touch, so that when a new opportunity arises, you could be among the first people we reach out to.
If you’re interested in working as a Machine Learning Engineer at OPSWAT, please apply, and we will get in touch!
You Will Have the Opportunity to
- Taking models (often from data scientists) and integrating them into production systems.
- Designing robust pipelines to feed real-time or batch data into ML models.
- Ensuring models run efficiently in production (speed, scalability, memory usage).
- Setting up CI/CD for ML workflows, monitoring models, retraining, and handling model drift.
- Writing production-quality code, ensuring system reliability and scalability.
- Working closely with data engineers and DevOps to ensure ML services operate reliably in distributed environments.
- Building and testing experimental models as proof-of-concept before full deployment.
- Embedding ML/AI solutions into applications, services, and user-facing products.
What Are We Looking For
- Experience in AI and ML development and operations (MLOps)
- Solid understanding of optimization strategies, ML algorithms, training & testing, performance analysis and evaluation methodologies
- Programming expertise in some relevant language (Python, C++).
- Ability to present findings, work both independently and within small groups
- Strong attention to detail and an ambition to learn & experiment with new things in the field of cybersecurity
- Experience with cloud computing (AWS preferred) and edge computing in the context of ML and AI is nice to have
Why You'll Love Working Here
- Stable, growing international company background with an exceptional customer group
- Opportunity to improve your professional skills
- The newest technology environment
- Language course and opportunity for active recreation – kettlebell, football and office massage
- Attractive working environment – nice office full of accessories (fruits every day, coffee, breakfast, tea etc.)
- Regular team events and Happy Hour activities
OPSWAT is an equal opportunity employer. We celebrate diversity and are committed to providing an environment where equal employment opportunities are extended to all employees and applicants, free of discrimination and harassment of any type. All employment decisions are based on individual qualifications, job requirements, and business needs without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other category protected by federal, state, or local laws.
Recruiting Agencies: we do not accept unsolicited resumes from third party agencies for any of our open positions. To submit resumes for our jobs, there must be a recruiting contract approved by our legal team and endorsed by both parties. We are currently not accepting additional 3rd party agencies at this time.
Ready to apply?
Apply to OPSWAT
OPSWAT, a global leader in IT, OT, and ICS critical infrastructure cybersecurity, delivers an end-to-end platform that gives public and private sector organizations and enterprises the critical advantage needed to protect their complex networks, secure their devices, and ensure compliance. Over the last 20 years our commitment to innovative technology has earned the trust of more than 1,700 organizations, governments, and institutions globally, solidifying our role in protecting the world’s critical infrastructure and securing our way of life.
The Position
At OPSWAT’s Technology Development Centre in Veszprém, we are looking for talented Machine Learning Operations Engineers to join our teams developing and deploying advanced AI-driven cybersecurity solutions that protect critical infrastructure across the globe. If you are knowledgeable, creative, and passionate about building reliable, scalable, and efficient ML pipelines and infrastructure - enabling data scientists to deliver innovative models seamlessly into production - then you could be exactly who we’re looking for!
In Veszprém, in the heart of a peaceful, friendly, historic city, we have created a modern, inspiring office environment that encourages collaboration, where friendly, direct relationships between colleagues and high-quality professional work are equally important. Using modern, innovative technologies, we work on products that truly contribute to making our world safer at one of the world's leading cybersecurity companies. We support professional development through training, mentoring, and real opportunities for advancement. The Veszprém office offers the perfect balance of calm and professionalism – a modern environment, friendly people, and a strong team spirit.
If you want to work in a place where your knowledge is valued and you are treated as a person, then OPSWAT Veszprém is the place for you.
At OPSWAT, we believe that great talent is always worth getting to know, even when there are no current vacancies. Our Evergreen Machine Learning Operations Engineer position offers continuously open opportunities for enthusiastic and motivated professionals who may join us in the future. It is not tied to a specific vacancy, but it enables us to get to know you and stay in touch, so that when a new opportunity arises, you could be among the first people we reach out to.
If you’re interested in working as a Machine Learning Operations Engineer at OPSWAT, please apply, and we will get in touch!
You Will Have the Opportunity to
- Build and maintain robust CI/CD pipelines for ML models and data workflows
- Automate and manage the end-to-end lifecycle of machine learning models, from training to deployment and monitoring
- Develop infrastructure to support scalable, reproducible model training and serving in Cloud or on-premise environments
- Monitor model performance in production, detect model/data drift, and implement alerting systems
- Collaborate with Data Scientists and DevOps Engineers to operationalize ML models and integrate them into products
- Drive Infrastructure-as-Code (IaC) and DevOps best practices in ML environments
- Identify and troubleshoot production issues with ML models
- Collaborate with cross-functional and product teams to identify, develop, and test out new ideas
- Build and nourish a culture of data-driven decision making, influencing the mindset of colleagues and management as well
What We Are Looking For
- 3+ years of experience in MLOps, DevOps, or ML Engineering
- Strong programming skills in Python and Bash
- Experience with ML frameworks as training/serving (e.g., Ray, Sagemaker jobs)
- Knowledge of monitoring tools and best practices for production ML systems(eg: Tensorboard, Datadog,Streamlit)
- Hands-on experience with CI/CD tools (e.g., GitHub Actions, Bitbucket pipelines, TeamCity)
- Proficiency with containerization and orchestration (Docker, Kubernetes)
- Experience with Cloud platforms (AWS, GCP, or Azure) and ML services (e.g., SageMaker, Vertex AI, MLflow, Kubeflow) and automation solutions (terraform / ansible / others)
- Knowledge of monitoring tools and best practices for production ML systems
- Solid understanding of the ML model lifecycle, versioning, and reproducibility
- Strong communication skills and the ability to work cross-functionally
- Experience with Linux systems
- Excellent troubleshooting skills and a commitment to document findings
Why You'll Love Working Here
- Stable, growing international company background with an exceptional customer group
- Opportunity to improve your professional skills
- The newest technology environment
- Language course and opportunity for active recreation – kettlebell, football and office massage
- Attractive working environment – nice office full of accessories (fruits every day, coffee, breakfast, tea etc.)
- Regular team events and Happy Hour activities
OPSWAT is an equal opportunity employer. We celebrate diversity and are committed to providing an environment where equal employment opportunities are extended to all employees and applicants, free of discrimination and harassment of any type. All employment decisions are based on individual qualifications, job requirements, and business needs without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other category protected by federal, state, or local laws.
Recruiting Agencies: we do not accept unsolicited resumes from third party agencies for any of our open positions. To submit resumes for our jobs, there must be a recruiting contract approved by our legal team and endorsed by both parties. We are currently not accepting additional 3rd party agencies at this time.
Ready to apply?
Apply to OPSWAT
OPSWAT, a global leader in IT, OT, and ICS critical infrastructure cybersecurity, delivers an end-to-end platform that gives public and private sector organizations and enterprises the critical advantage needed to protect their complex networks, secure their devices, and ensure compliance. Over the last 20 years our commitment to innovative technology has earned the trust of more than 1,700 organizations, governments, and institutions globally, solidifying our role in protecting the world’s critical infrastructure and securing our way of life.
The Position
At OPSWAT, we’re on a mission to protect the world’s most critical infrastructure. As a U.S.-based cybersecurity leader, we’re expanding our R&D footprint in Hungary — and we’re looking for a Software Engineer Intern to join our team working on one of our most strategic solutions: Proactive Data Loss Prevention (Proactive DLP).
Proactive DLP can help enterprises to prevent potential data breaches and regulatory compliance violations. Trusted by governments and global organizations, we are at the heart of secure data movement — and we’re expanding its future in Veszprém.
You’ll take part in designing and building the backend services that power our secure file transfer platform, working closely with engineers, security experts, and researchers.
As part of our cybersecurity-focused company, you will play a crucial role in testing cutting-edge software solutions aimed at protecting critical infrastructure from cyber threats. Your work will make a real impact — defending the digital front lines of industries, governments, and essential systems around the world.
If you’re experienced in backend development, interested in cybersecurity, and excited to make real-world impact by protecting critical infrastructure, this is your opportunity.
You Will Have The Opportunity to
- Collaborate with a diverse and skilled team of engineers, security experts and researchers.
- Develop or test responsive and interactive user interfaces for our cybersecurity software products using C++, Python.
- Write clean, well-documented, and maintainable code following established coding standards and development methodologies.
- Actively participate in Agile development processes, including sprint planning, stand-up meetings, and retrospectives, to contribute to team goals and deliver high-quality software products.
- Assist with data collection, preprocessing, and basic feature engineering for machine learning use cases
What We Are Looking For
- Ongoing IT-related university studies at the University of Pannonia, Veszprém
- Practical use of IT skills learned at university
- Basic programming knowledge
- Good communication skills in English
- Ability to work 20-30 hours /week after the University Practice
- Strong teamwork, interpersonal skills and flexibility
Why You'll Love Working Here
- Stable, growing international company background with an exceptional customer group
- Opportunity to become familiar with the Cybersecurity space and malware analysis software
- The newest technology environment
- Attractive working environment – nice office full of accessories (fruits every day, coffee, breakfast, tea etc.)
OPSWAT is an equal opportunity employer. We celebrate diversity and are committed to providing an environment where equal employment opportunities are extended to all employees and applicants, free of discrimination and harassment of any type. All employment decisions are based on individual qualifications, job requirements, and business needs without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other category protected by federal, state, or local laws.
Recruiting Agencies: we do not accept unsolicited resumes from third party agencies for any of our open positions. To submit resumes for our jobs, there must be a recruiting contract approved by our legal team and endorsed by both parties. We are currently not accepting additional 3rd party agencies at this time.
Ready to apply?
Apply to OPSWAT
OPSWAT, a global leader in IT, OT, and ICS critical infrastructure cybersecurity, delivers an end-to-end platform that gives public and private sector organizations and enterprises the critical advantage needed to protect their complex networks, secure their devices, and ensure compliance. Over the last 20 years our commitment to innovative technology has earned the trust of more than 1,700 organizations, governments, and institutions globally, solidifying our role in protecting the world’s critical infrastructure and securing our way of life.
The Position
At OPSWAT, we’re on a mission to protect the world’s most critical infrastructure. As a U.S.-based cybersecurity leader, we’re expanding our R&D footprint in Hungary — and we’re looking for a Software Engineer Intern to join our team working on one of our most strategic solutions: MetaDefender Aether.
MetaDefender Aether trusted by governments and global organizations, we are at the heart of secure data movement — and we’re expanding its future in Veszprém.
You’ll take part in designing and building the backend services that power our secure file transfer platform, working closely with engineers, security experts, and researchers.
As part of our cybersecurity-focused company, you will play a crucial role in testing cutting-edge software solutions aimed at protecting critical infrastructure from cyber threats. Your work will make a real impact — defending the digital front lines of industries, governments, and essential systems around the world.
If you’re experienced in backend development, interested in cybersecurity, and excited to make real-world impact by protecting critical infrastructure, this is your opportunity.
You Will Have The Opportunity to
- Collaborate with a diverse and skilled team of engineers, security experts and researchers.
- Develop or test responsive and interactive user interfaces for our cybersecurity software products using C++, Python or Rust.
- Write clean, well-documented, and maintainable code following established coding standards and development methodologies.
- Actively participate in Agile development processes, including sprint planning, stand-up meetings, and retrospectives, to contribute to team goals and deliver high-quality software products.
- Assist with data collection, preprocessing, and basic feature engineering for machine learning use cases
What We Are Looking For
- Ongoing IT-related university studies at the University of Pannonia, Veszprém
- Practical use of IT skills learned at university
- Basic programming knowledge
- Good communication skills in English
- Ability to work 20-30 hours /week after the University Practice
- Strong teamwork, interpersonal skills and flexibility
Why You'll Love Working Here
- Stable, growing international company background with an exceptional customer group
- Opportunity to become familiar with the Cybersecurity space and malware analysis software
- The newest technology environment
- Attractive working environment – nice office full of accessories (fruits every day, coffee, breakfast, tea etc.)
OPSWAT is an equal opportunity employer. We celebrate diversity and are committed to providing an environment where equal employment opportunities are extended to all employees and applicants, free of discrimination and harassment of any type. All employment decisions are based on individual qualifications, job requirements, and business needs without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other category protected by federal, state, or local laws.
Recruiting Agencies: we do not accept unsolicited resumes from third party agencies for any of our open positions. To submit resumes for our jobs, there must be a recruiting contract approved by our legal team and endorsed by both parties. We are currently not accepting additional 3rd party agencies at this time.
Ready to apply?
Apply to OPSWAT
OPSWAT, a global leader in IT, OT, and ICS critical infrastructure cybersecurity, delivers an end-to-end platform that gives public and private sector organizations and enterprises the critical advantage needed to protect their complex networks, secure their devices, and ensure compliance. Over the last 20 years our commitment to innovative technology has earned the trust of more than 1,700 organizations, governments, and institutions globally, solidifying our role in protecting the world’s critical infrastructure and securing our way of life.
The Position
At OPSWAT, we’re on a mission to protect the world’s most critical infrastructure. As a U.S.-based cybersecurity leader, we’re expanding our R&D footprint in Hungary — and we’re looking for a Software Engineer Intern to join our team working on one of our most strategic solutions: MetaScan Engine.
MetaScan Engines uses 30+ anti-malware engines to identify both known and unknown threats while reducing false positives and minimizing exposure time. Trusted by governments and global organizations, we are at the heart of secure data movement — and we’re expanding its future in Veszprém.
You’ll take part in designing and building the backend services that power our secure file transfer platform, working closely with engineers, security experts, and researchers.
As part of our cybersecurity-focused company, you will play a crucial role in testing cutting-edge software solutions aimed at protecting critical infrastructure from cyber threats. Your work will make a real impact — defending the digital front lines of industries, governments, and essential systems around the world.
If you’re experienced in backend development, interested in cybersecurity, and excited to make real-world impact by protecting critical infrastructure, this is your opportunity.
You Will Have The Opportunity to
- Assist in maintaining and improving CI/CD pipelines for backend services
- Collaborate with a diverse and skilled team of engineers, security experts and researchers.
- Develop or test responsive and interactive user interfaces for our cybersecurity software products using C++.
- Write clean, well-documented, and maintainable code following established coding standards and development methodologies.
- Actively participate in Agile development processes, including sprint planning, stand-up meetings, and retrospectives, to contribute to team goals and deliver high-quality software products.
- Assist with data collection, preprocessing, and basic feature engineering for machine learning use cases
What We Are Looking For
- Ongoing IT-related university studies at the University of Pannonia, Veszprém
- Practical use of IT skills learned at university
- Basic programming knowledge
- Good communication skills in English
- Ability to work 20-30 hours /week after the University Practice
- Strong teamwork, interpersonal skills and flexibility
Why You'll Love Working Here
- Stable, growing international company background with an exceptional customer group
- Opportunity to become familiar with the Cybersecurity space and malware analysis software
- The newest technology environment
- Attractive working environment – nice office full of accessories (fruits every day, coffee, breakfast, tea etc.)
OPSWAT is an equal opportunity employer. We celebrate diversity and are committed to providing an environment where equal employment opportunities are extended to all employees and applicants, free of discrimination and harassment of any type. All employment decisions are based on individual qualifications, job requirements, and business needs without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other category protected by federal, state, or local laws.
Recruiting Agencies: we do not accept unsolicited resumes from third party agencies for any of our open positions. To submit resumes for our jobs, there must be a recruiting contract approved by our legal team and endorsed by both parties. We are currently not accepting additional 3rd party agencies at this time.
Ready to apply?
Apply to OPSWAT
OPSWAT, a global leader in IT, OT, and ICS critical infrastructure cybersecurity, delivers an end-to-end platform that gives public and private sector organizations and enterprises the critical advantage needed to protect their complex networks, secure their devices, and ensure compliance. Over the last 20 years our commitment to innovative technology has earned the trust of more than 1,700 organizations, governments, and institutions globally, solidifying our role in protecting the world’s critical infrastructure and securing our way of life.
The Position
At OPSWAT, we’re on a mission to protect the world’s most critical infrastructure. As a U.S.-based cybersecurity leader, we’re expanding our R&D footprint in Hungary — and we’re looking for a Software Engineer Intern to join our team working on one of our most strategic solutions: MetaDefender Email Gateway Security.
MetaDefender Email Gateway Security on-premises email security protection for critical infrastructure organizations to defend against phishing, malware, and exploits. Trusted by governments and global organizations, we are at the heart of secure data movement — and we’re expanding its future in Veszprém.
You’ll take part in designing and building the backend services that power our secure file transfer platform, working closely with engineers, security experts, and researchers.
As part of our cybersecurity-focused company, you will play a crucial role in testing cutting-edge software solutions aimed at protecting critical infrastructure from cyber threats. Your work will make a real impact — defending the digital front lines of industries, governments, and essential systems around the world.
If you’re experienced in backend development, interested in cybersecurity, and excited to make real-world impact by protecting critical infrastructure, this is your opportunity.
You Will Have The Opportunity to
- Assist in maintaining and improving CI/CD pipelines for backend services (using Github)
- Collaborate with a diverse and skilled team of engineers, security experts and researchers.
- Write clean, well-documented, and maintainable code following established coding standards and development methodologies.
- Actively participate in Agile development processes, including sprint planning, stand-up meetings, and retrospectives, to contribute to team goals and deliver high-quality software products.
- Assist with data collection, preprocessing, and basic feature engineering for machine learning use cases
What We Are Looking For
- Ongoing IT-related university studies at the University of Pannonia, Veszprém
- Practical use of IT skills learned at university or as self-development (good Python or Power Shell scripting, Docker technology)
- Basic programming knowledge
- Good communication skills in English
- Ability to work 20-30 hours /week after the University Practice
- Strong teamwork, interpersonal skills and flexibility
Why You'll Love Working Here
- Stable, growing international company background with an exceptional customer group
- Opportunity to become familiar with the Cybersecurity space and malware analysis software
- The newest technology environment
- Attractive working environment – nice office full of accessories (fruits every day, coffee, breakfast, tea etc.)
OPSWAT is an equal opportunity employer. We celebrate diversity and are committed to providing an environment where equal employment opportunities are extended to all employees and applicants, free of discrimination and harassment of any type. All employment decisions are based on individual qualifications, job requirements, and business needs without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other category protected by federal, state, or local laws.
Recruiting Agencies: we do not accept unsolicited resumes from third party agencies for any of our open positions. To submit resumes for our jobs, there must be a recruiting contract approved by our legal team and endorsed by both parties. We are currently not accepting additional 3rd party agencies at this time.
Ready to apply?
Apply to OPSWAT
OUR HIRING PROCESS:
- We will review your application against our job requirements. We do not employ machine learning technologies during this phase as we believe every human deserves attention from another human. We do not think machines can evaluate your application quite like our seasoned recruiting professionals—every person is unique. We promise to give your candidacy a fair and detailed assessment.
- We may then invite you to submit a video interview for the review of the hiring manager. This video interview is often followed by a test or short project that allows us to determine whether you will be a good fit for the team.
- At this point, we will invite you to interview with our hiring manager and/or the interview team. Please note: We do not conduct interviews via text message, Telegram, etc. and we never hire anyone into our organization without having met you face-to-face (or via Zoom). You will be invited to come to a live meeting or Zoom, where you will meet our INFUSE team.
- From there on, it’s decision time! If you are still excited to join INFUSE and we like you as much, we will have a conversation about your offer. We do not make offers without giving you the opportunity to speak with us live.
INFUSE is committed to complying with applicable data privacy and security laws and regulations. For more information, please see our Privacy Policy
Join Us as a Graphic Designer with a Focus on Data Visualization!
At INFUSE Academy, we turn complex ideas into visuals that make people stop and think. We are looking for a Graphic Designer who leads with clarity, communicates through imagery, and can distill a dense concept into something a learner understands at a glance.
If you can explain the impact of climate change in one image, you are the kind of thinker we want.
What you will bring:
- Proficiency in Figma, Illustrator, and Photoshop
- Solid foundation in composition, typography, and color theory
- Experience with data visualization: charts, infographics, diagrams that inform rather than decorate
- A visual storytelling instinct: you find the narrative in the numbers
- Genuine enthusiasm for AI tools -- you follow what is happening, you experiment, and you actively look for ways to co-create with AI rather than just use it
- Attention to detail and the self-organization to manage multiple projects
What you will do:
- Translate instructional content into visual concepts and storyboards
- Design static graphics, infographics, and course assets that carry meaning on their own
- Collaborate with instructional designers to find the best visual angle for every learning objective
- Co-create with AI tools as a real part of your design process -- bringing new ideas, accelerating output, and pushing what is possible
What you’ll love about working with us:
- A fun, diverse team of professionals from every corner of the globe
- A never-ending learning journey (because who wants to stop growing?)
- Career growth opportunities with regular reviews, your success is our success!
- Timely, market-range compensation (we make sure your wallet’s happy, too)
- Paid time off for U.S. public holidays, because rest is as important as work
- Summer Fridays with shorter hours, because everyone deserves a little sunshine
- Access to top-tier tools like Adobe and Figma Pro, so you can create like a pro
If you recognize yourself in this and are up to the challenge, we’d be happy to hear from you!
We are an Equal Opportunity Employer. We make hiring decisions based on qualifications, merit, and business needs. We do not discriminate on the basis of race, color, religion, sex (including pregnancy, sexual orientation, and gender identity), national origin, age, disability, genetic information, or any other characteristic protected under applicable law. We welcome applicants from all backgrounds and believe that diversity of experience, culture, and perspective makes us stronger.
Ready to apply?
Apply to INFUSE
Senior Software Engineer (Python and AWS)
Share this job
As a Senior Software Engineer at Diligent:
You build things that scale - and you don’t stop at “it works.”
You design clean, reliable backend systems, shape architecture decisions, and turn data into something powerful using AI/ML.
If you’re a Python-focused engineer who’s comfortable with cloud-native development, data pipelines, and solving real - world performance challenges, this is your space. You’ll be hands - on with modern tech (AWS, SQL/NoSQL, IaC), working in Agile teams where your ideas influence both the codebase and the product. If terms like scalability, distributed systems, APIs, data processing, and machine learning actually mean something in your day-to-day - you’ll feel at home here.
Here’s a breakdown of what you’ll do (not all of it, just the important stuff):
- Design, implement, review, and test features in an Agile environment
- Contribute to system architecture and shape the future-state design of the platform
- Build and optimize scalable data processing solutions
- Develop and integrate AI/ML capabilities into data workflows
- Prototype and validate backend approaches when needed
- Collaborate with Product Managers and Engineering Managers to refine requirements and user stories
- Ensure reliability, scalability, and cost-efficiency of solutions
- Work closely with cross-functional teams to ensure smooth delivery to production
- Follow and promote best practices in code quality and testing
These are the essentials you’ll need to get an interview:
- 5+ years’ experience in a hands-on development role at a commercial software company
- Strong experience with Python and common libs
- Experience with SQL and NoSQL databases, preferably PostgreSQL and ElasticSearch
- Solid experience with cloud native development (preferably AWS)
- Hands-on experience with Infrastructure as Code using Terraform or AWS CDK (TypeScript)
- Problem-solver attitude - Technology agnostic approach
- Good written and oral communications
- Solid troubleshooting ability and skills
- Ability to contribute to the effectiveness of a high-performing agile team, and to the product innovation.
- Successfully manage own workload, and take personal responsibility and ownership for delivery, behaviors, and self-improvement
- Keen to improve processes and share knowledge across the team.
It would be great if you had these to, but we’ll support you if you don’t:
- Experience with system design and scalable distributed systems
- Proven experience building and maintaining data pipelines
- Experience with Apache Spark and/or Apache Airflow
- Familiarity with AI/ML models and their integration into data pipelines
- Understanding of cost-efficient data and AI processing
- Experience with CI/CD pipelines, containerization, and cloud deployments (e.g., Docker, GitHub Actions)
- Experience with Test-Driven Development (TDD)
About Us
Diligent is the AI leader in governance, risk and compliance (GRC) SaaS solutions, helping more than 1 million users and 700,000 board members to clarify risk and elevate governance. The Diligent One Platform gives practitioners, the C-Suite and the board a consolidated view of their entire GRC practice so they can more effectively manage risk, build greater resilience and make better decisions, faster.
Learn more at diligent.com or follow us on LinkedIn and Facebook
What Diligent Offers You
- Creativity is ingrained in our culture. We are innovative collaborators by nature. We thrive in exploring how things can be differently both in our internal processes and to help our clients
- We care about our people. Diligent offers a flexible work environment, global days of service, comprehensive health benefits, meeting free days, generous time off policy and wellness programs to name a few
- We have teams all over the world. We may be headquartered in New York City, but we have office hubs in Washington D.C., Vancouver, London, Galway, Budapest, Munich, Bengaluru, Singapore, and Sydney.
- Diversity is important to us. Growing, maintaining and promoting a diverse team is a top priority for us. We foster and encourage diversity through our Employee Resource Groups and provide access to resources and education to support the education of our team, facilitate dialogue, and foster understanding.
Diligent created the modern governance movement. Our world-changing idea is to empower leaders with the technology, insights and connections they need to drive greater impact and accountability – to lead with purpose. Our employees are passionate, smart, and creative people who not only want to help build the software company of the future, but who want to make the world a more sustainable, equitable and better place.
Headquartered in New York, Diligent has offices in Washington D.C., London, Galway, Budapest, Vancouver, Bengaluru, Munich, Singapore and Sydney. To foster strong collaboration and connection, this role will follow a hybrid work model. If you are within a commuting distance to one of our Diligent office locations, you will be expected to work onsite at least 50% of the time. We believe that in-person engagement helps drive innovation, teamwork, and a strong sense of community.
We are a drug free workplace. Diligent is proud to be an equal opportunity employer. We do not discriminate based on race, color, religious creed, sex, national origin, ancestry, citizenship status, pregnancy, childbirth, physical disability, mental disability, age, military status, protected veteran status, marital status, registered domestic partner or civil union status, gender (including sex stereotyping and gender identity or expression), medical condition (including, but not limited to, cancer related or HIV/AIDS related), genetic information, or sexual orientation in accordance with applicable federal, state and local laws. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Diligent's EEO Policy and Know Your Rights. We are committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, you may contact us at recruitment@diligent.com.
To all recruitment agencies: Diligent does not accept unsolicited agency resumes. Please do not forward resumes to our jobs alias, Diligent employees or any other organization location. Diligent is not responsible for any fees related to unsolicited resumes.
Ready to apply?
Apply to Diligent Corporation
OUR HIRING PROCESS:
- We will review your application against our job requirements. We do not employ machine learning technologies during this phase as we believe every human deserves attention from another human. We do not think machines can evaluate your application quite like our seasoned recruiting professionals—every person is unique. We promise to give your candidacy a fair and detailed assessment.
- We may then invite you to submit a video interview for the review of the hiring manager. This video interview is often followed by a test or short project that allows us to determine whether you will be a good fit for the team.
- At this point, we will invite you to interview with our hiring manager and/or the interview team. Please note: We do not conduct interviews via text message, Telegram, etc. and we never hire anyone into our organization without having met you face-to-face (or via Zoom). You will be invited to come to a live meeting or Zoom, where you will meet our INFUSE team.
- From there on, it’s decision time! If you are still excited to join INFUSE and we like you as much, we will have a conversation about your offer. We do not make offers without giving you the opportunity to speak with us live.
INFUSE is committed to complying with applicable data privacy and security laws and regulations. For more information, please see our Privacy Policy
We are seeking an experienced Product Manager to lead the strategy, development, and implementation of the new systems, tools, and business processes that will power the next stage of growth.
Key Responsibilities
- Partner with leadership and department heads to define and communicate the vision for new solutions and tools that increase business outcomes.
- Transform strategic goals into actionable product solutions, aligning technical capabilities with business priorities.
- Lead the end-to-end product lifecycle - from discovery and requirements gathering to release, implementation into the business process, and continuous optimization.
- Act as a bridge between business stakeholders and technical teams, ensuring clarity, alignment, and transparency at every stage. Work closely with engineering and design teams to ensure timely, high-quality delivery.
- Analyze existing business processes and identify opportunities for automation and improvement. Re-engineer processes and implement new, effective solutions.
- Collaborate with business analysts, product designers, development teams, and other departments to get measurable outcomes. Be able to cover niche projects or product stages independently.
Qualifications
- 5+ years as a Product or Project Manager with product expertise in a fast-paced digital or tech-driven company, delivering innovations with positive measurable results.
- Experience leading cross-functional teams and delivering impactful results.
- Deep understanding of modern product and project management practices.
- Good understanding of when development is needed or not needed to solve the problem.
- Strong analytical mindset with the ability to make data-informed decisions.
- Strong organizational, planning, and delivery skills are a must.
- Excellent communication with strong stakeholder engagement and alignment skills.
- Proven records in business process analysis, optimization, and digital transformation.
- Experience in building automations to optimize processes and manual tasks.
- Self-driven, highly organized, and comfortable working remotely across time zones.
- Proficiency in building no-code/low-code prototypes and tools to validate hypotheses in the early stages.
- Previous BA experience is a plus.
- Fluent in English (spoken and written).
What We Offer
- Opportunity to shape the backbone systems of a modern, data-driven digital company.
- Autonomy to lead meaningful projects from ideation to impact.
- A collaborative, innovation-first environment that values initiative and experimentation.
- Reduced working hours on Fridays during the summer.
- Schedule: Monday–Friday, 1:00/2:00 PM – 9:00/10:00 PM EET.
Why Join Us
You’ll be at the intersection of technology, process innovation, and business growth - building systems that empower our teams to work smarter, faster, and more collaboratively. If you’re a strategic thinker who loves turning complexity into clarity and ideas into scalable solutions, we’d love to meet you.
Ready to apply?
Apply to INFUSE
Join ABBYY and be part of a team that celebrates your unique work style. With flexible work options, a supportive team, and rewards that reflect your value, you can focus on what matters most – driving your growth, while fueling ours.
Our commitment to respect, transparency, and simplicity means you can trust us to always choose to do the right thing.
As a trusted partner for purpose-built AI and intelligent automation, we solve highly complex problems for our enterprise customers and put their information to work to transform the way they do business. Over 10,000 customers trust ABBYY, including many Fortune 500 ones. You will work on further developing a portfolio already containing client names such as DHL, Johnson & Johnson, FDA, DMV, PwC, KeyBank, Spotify, and H&R BLOCK.
About the Role:
The HR Operations Manager role is an IC and hybrid position that delivers both operational HR support and HRIS systems administration within ABBYY’s global People Shared Services team. The role provides employee and manager support, ensures consistent application of People policies across assigned regions, and contributes to efficient, compliant employee lifecycle processes.
In parallel, this position supports the configuration, optimization, and maintenance of our core People systems, HiBob (HRIS) and Greenhouse (ATS), and plays a key role in maintaining data accuracy, improving workflows, and enabling reliable People data reporting.
This role is ideal for someone who enjoys solving problems, improving processes, and working at the intersection of People Operations and HR technology in a global, fast-paced environment.
Job Responsibilities:
People Operations Support
- Provide regional People Operations support for an assigned geography within the global People Shared Services team.
- Ensure global People policies and workflows are applied appropriately within the region, accounting for local compliance requirements.
- Respond to employee and manager inquiries through our case management system (AskABBYY), meeting all SLAs with timely, accurate, and high-quality support.
- Process global HR lifecycle transactions, including onboarding, job changes, compensation adjustments, leaves, and offboarding.
- Maintain employee data in our People systems of record through validation, updates, and reconciliations.
- Partner cross-functionally to ensure coordinated employee lifecycle support.
HRIS and ATS Systems Administration (HiBob and Greenhouse)
- Support configuration and ongoing management of HiBob (HRIS) and Greenhouse (ATS), including workflows, permissions, automations, custom fields, templates, and lifecycle processes.
- Translate business requirements into technical system changes, implementing enhancements and new features as needed.
- Troubleshoot system issues and partner with internal teams or vendors to resolve them.
- Serve as a knowledgeable resource on system functionality, best practices, and platform capabilities.
Data Quality, Reporting & Analytics
- Ensure accuracy and integrity of employee data across all People systems.
- Conduct data audits and reconciliations and resolve discrepancies.
- Support the creation and maintenance of scheduled and ad hoc People data reports and dashboards.
- Address data integration issues between People systems and downstream systems such as payroll, IT, or Finance tools.
Process & Documentation Support
- Create and maintain SOPs, workflows, system documentation, and user guides.
- Document system configurations and data processes to ensure clarity and consistency.
- Identify opportunities for process improvement, automation, and standardization across regions.
- Ensure all documentation reflects current policies, systems, and operational practices.
Job Requirements:
- 6+ years of experience in People Operations, HR Operations, HRIS administration, or a similar hybrid role.
- Experience with HiBob (or another modern HRIS) and Greenhouse strongly preferred.
- Solid understanding of HR processes and the employee lifecycle.
- Experience supporting global or multi-country populations.
- Strong analytical skills, including reporting or data interpretation experience.
- High level of accuracy and attention to detail.
- Ability to translate business needs into system or operational requirements.
- Strong customer service orientation and ability to provide timely, helpful support.
- Effective communication and cross-functional collaboration skills.
Here are some of our local benefits:
- Comprehensive medical, accidental, and life insurance
- Weekly wellness sessions to support your physical and mental well-being
- A generous paid time off policy
#LI-MM1
Join ABBYY, and you will:
Love how you work
- We provide remote and hybrid working options to fit all lifestyles.
- We use flexible hours across most of our teams to allow you to find your own definition of balance.
- Encouraging a culture of giving, we provide two paid volunteering days off every year so you can take time to contribute to the causes you care about.
- To ensure your family is cared for, we offer paid parental leave in all our locations.
Love whom you work with
- We are a global team of 600+ colleagues, spread across 15 countries on four continents.
- With colleagues representing 30+ nationalities, our workforce reflects the world.
- Innovation and excellence run through our veins. Our teams gather the expertise which has garnered ABBYY more than 140 technology patents.
- We are guided by the values of respect, transparency, and simplicity.
- "Team Environment" is in the top three highest-scoring drivers of engagement across all of our departments.
Love what you work on
- We are a company with more than 35 years of experience in the technology market;
- Over 10,000 customers trust ABBYY, including many Fortune 500 ones, with names such as DHL, Johnson & Johnson, FDA, DMV, PwC, KeyBank, Spotify, and H&R BLOCK;
- We have modernized the capture market by creating the first low-code/no-code IDP platform.
- Our Machine Learning, Natural Language Processing, Computer Vision Technologies, and a marketplace built with AI, can transform any document in any process;
- Top Analyst firms recognize ABBYY's market leadership, including Gartner, Everest PEAK Matrix ® Assessment, ISG Intelligent Automation Lens, and NelsonHall, amongst others.
ABBYY is an Equal Employment Opportunity employer that values the strength that diversity brings to the workplace. To learn more about our commitment to Diversity and Inclusion, check out the careers section on our website.
Ready to apply?
Apply to ABBYY
Join ABBYY and be part of a team that celebrates your unique work style. With flexible work options, a supportive team, and rewards that reflect your value, you can focus on what matters most – driving your growth, while fueling ours.
Our commitment to respect, transparency, and simplicity means you can trust us to always choose to do the right thing.
As a trusted partner for purpose-built AI and intelligent automation, we solve highly complex problems for our enterprise customers and put their information to work to transform the way they do business. Over 10,000 customers trust ABBYY, including many Fortune 500 ones. You will work on further developing a portfolio already containing client names such as DHL, Johnson & Johnson, FDA, DMV, PwC, KeyBank, Spotify, and H&R BLOCK.
The Global Compensation & Benefits Manager plays a critical role in shaping, managing, and continuously improving ABBYY’s global Total Rewards framework. This role combines strategic program ownership with handson operational execution across compensation, benefits, and governance. You will partner closely with the Director, Engagement and collaborate with Talent Acquisition, People Operations, Finance, Payroll, Legal, and thirdparty vendors to ensure our compensation and benefits programs are competitive, equitable, compliant, and aligned with ABBYY’s global philosophy.
This role requires strong analytical capability, sound judgment, and an ability to translate complex data into clear insights and scalable solutions. You will influence global Total Rewards strategy while ensuring excellence and accuracy in daytoday program delivery.
Key Responsibilities
Global Compensation Management
- Lead preparation and delivery of the annual compensation cycle, including merit, promotion, market adjustments, and performance bonus administration.
- Oversee global market benchmarking using compensation surveys (e.g., Radford, Mercer, Culpepper) and recommend adjustments to salary ranges and job architecture.
- Partner with Talent Acquisition to set salary range positions, advise on offer strategies, and ensure internal equity.
- Own and maintain global salary structures, ensuring alignment with market data, internal equity, and regulatory requirements.
- Develop compensation dashboards, insights, and executive-ready recommendations.
- Manage governance and compliance for all global compensation practices.
Global Benefits Management
- Oversee evaluation, design, and delivery of ABBYY’s global benefits programs, including health, retirement, statutory benefits, wellness, and regionspecific offerings.
- Lead market assessments to ensure competitiveness, costeffectiveness, and alignment with global principles.
- Manage renewals, broking activities, and open enrollment processes.
- Develop employee-facing benefits materials (benefits guides, FAQs, communication plans) in partnership with Internal Comms.
- Drive standardisation and harmonisation where appropriate, while respecting local statutory requirements.
Data, Reporting & Governance
- Own all global compensation and benefits data within HR systems and reporting tools.
- Build and maintain regular and ad hoc C&B reporting covering cost, utilization, distribution, and program effectiveness.
- Identify data gaps and drive improvements to processes, tools, and controls.
- Support internal and SOX audit activity through accurate documentation and compliance with governance frameworks.
- Uphold global data privacy requirements, including GDPR and local regulations.
CrossFunctional Leadership & Vendor Management
- Partner with People Operations to ensure accurate and timely execution of compensation and benefits transactions.
- Collaborate with Payroll and Finance on costing, payments, and budgeting for compensation and benefits programs.
- Manage relationships with global and regional vendors, ensuring SLA adherence and service quality.
- Act as a subject matter expert for Engagement Partners and managers, providing guidance aligned with global Total Rewards frameworks.
- Support clear, effective Total Rewards communication strategies across the organisation.
Job Requirements
- 5–8 years of experience in Compensation, Benefits, or Total Rewards, with exposure to global programs.
- Strong command of compensation benchmarking tools (Radford, Mercer, Culpepper).
- Experience partnering crossfunctionally with TA, People Ops, Finance, Payroll, and Legal.
- Prior experience supporting multiple countries and navigating diverse regulatory environments.
- Experience managing vendors and external partners preferred.
Skills & Capabilities
- Advanced analytical skills with exceptional attention to detail and data accuracy.
- High proficiency in Excel/Sheets; experience with Power BI or Tableau a plus.
- Ability to convert complex data into actionable insights and recommendations.
- Strong influencing skills and ability to work in a global, matrixed environment.
- Excellent organizational skills; able to lead multiple processes across global cycles.
- Ability to maintain strict confidentiality and exercise sound judgment.
- A global mindset, cultural awareness, and an inclusive approach to decision-making.
Tools & Technology
- HRIS experience (HiBob preferred; equivalent systems such as Workday or SAP SuccessFactors also valuable).
- Compensation survey platforms (Radford, Mercer, Culpepper).
- Familiarity with global payroll or finance systems (e.g., ADP, NetSuite).
Compliance & Governance
- Knowledge of global statutory requirements, including statutory benefits, minimums, and local market norms.
- Awareness of pay transparency regulations (EU/US) and their impact on compensation structures.
- Strong understanding of data privacy laws (GDPR and local equivalents) and secure handling of compensation data.
Here are some of our local benefits
- Medical benefits after 90 days
- SZÉP Card allowance for recreational activities
- Volunteering Time Off (VTO)
- Company paid sick time up to 10 days per year
#LI-MM1
Join ABBYY, and you will:
Love how you work
- We provide remote and hybrid working options to fit all lifestyles.
- We use flexible hours across most of our teams to allow you to find your own definition of balance.
- Encouraging a culture of giving, we provide two paid volunteering days off every year so you can take time to contribute to the causes you care about.
- To ensure your family is cared for, we offer paid parental leave in all our locations.
Love whom you work with
- We are a global team of 600+ colleagues, spread across 15 countries on four continents.
- With colleagues representing 30+ nationalities, our workforce reflects the world.
- Innovation and excellence run through our veins. Our teams gather the expertise which has garnered ABBYY more than 140 technology patents.
- We are guided by the values of respect, transparency, and simplicity.
- "Team Environment" is in the top three highest-scoring drivers of engagement across all of our departments.
Love what you work on
- We are a company with more than 35 years of experience in the technology market;
- Over 10,000 customers trust ABBYY, including many Fortune 500 ones, with names such as DHL, Johnson & Johnson, FDA, DMV, PwC, KeyBank, Spotify, and H&R BLOCK;
- We have modernized the capture market by creating the first low-code/no-code IDP platform.
- Our Machine Learning, Natural Language Processing, Computer Vision Technologies, and a marketplace built with AI, can transform any document in any process;
- Top Analyst firms recognize ABBYY's market leadership, including Gartner, Everest PEAK Matrix ® Assessment, ISG Intelligent Automation Lens, and NelsonHall, amongst others.
ABBYY is an Equal Employment Opportunity employer that values the strength that diversity brings to the workplace. To learn more about our commitment to Diversity and Inclusion, check out the careers section on our website.
Ready to apply?
Apply to ABBYY
Join ABBYY and be part of a team that celebrates your unique work style. With flexible work options, a supportive team, and rewards that reflect your value, you can focus on what matters most – driving your growth, while fueling ours.
Our commitment to respect, transparency, and simplicity means you can trust us to always choose to do the right thing.
As a trusted partner for purpose-built AI and intelligent automation, we solve highly complex problems for our enterprise customers and put their information to work to transform the way they do business. Over 10,000 customers trust ABBYY, including many Fortune 500 ones. You will work on further developing a portfolio already containing client names such as DHL, Johnson & Johnson, FDA, DMV, PwC, KeyBank, Spotify, and H&R BLOCK.
About the role:
The Global Compensation & Benefits Manager plays a critical role in shaping, managing, and continuously improving ABBYY’s global Total Rewards framework. This role combines strategic program ownership with handson operational execution across compensation, benefits, and governance. You will partner closely with the Director, Engagement and collaborate with Talent Acquisition, People Operations, Finance, Payroll, Legal, and thirdparty vendors to ensure our compensation and benefits programs are competitive, equitable, compliant, and aligned with ABBYY’s global philosophy.
This role requires strong analytical capability, sound judgment, and an ability to translate complex data into clear insights and scalable solutions. You will influence global Total Rewards strategy while ensuring excellence and accuracy in daytoday program delivery.
Job Responsibilities:
Global Compensation Management
- Lead preparation and delivery of the annual compensation cycle, including merit, promotion, market adjustments, and performance bonus administration.
- Oversee global market benchmarking using compensation surveys (e.g., Radford, Mercer, Culpepper) and recommend adjustments to salary ranges and job architecture.
- Partner with Talent Acquisition to set salary range positions, advise on offer strategies, and ensure internal equity.
- Own and maintain global salary structures, ensuring alignment with market data, internal equity, and regulatory requirements.
- Develop compensation dashboards, insights, and executive-ready recommendations.
- Manage governance and compliance for all global compensation practices.
Global Benefits Management
- Oversee evaluation, design, and delivery of ABBYY’s global benefits programs, including health, retirement, statutory benefits, wellness, and regionspecific offerings.
- Lead market assessments to ensure competitiveness, costeffectiveness, and alignment with global principles.
- Manage renewals, broking activities, and open enrollment processes.
- Develop employee-facing benefits materials (benefits guides, FAQs, communication plans) in partnership with Internal Comms.
- Drive standardisation and harmonisation where appropriate, while respecting local statutory requirements.
Data, Reporting & Governance
- Own all global compensation and benefits data within HR systems and reporting tools.
- Build and maintain regular and ad hoc C&B reporting covering cost, utilization, distribution, and program effectiveness.
- Identify data gaps and drive improvements to processes, tools, and controls.
- Support internal and SOX audit activity through accurate documentation and compliance with governance frameworks.
- Uphold global data privacy requirements, including GDPR and local regulations.
CrossFunctional Leadership & Vendor Management
- Partner with People Operations to ensure accurate and timely execution of compensation and benefits transactions.
- Collaborate with Payroll and Finance on costing, payments, and budgeting for compensation and benefits programs.
- Manage relationships with global and regional vendors, ensuring SLA adherence and service quality.
- Act as a subject matter expert for Engagement Partners and managers, providing guidance aligned with global Total Rewards frameworks.
- Support clear, effective Total Rewards communication strategies across the organisation.
Job Requirements:
- 5–8 years of experience in Compensation, Benefits, or Total Rewards, with exposure to global programs.
- Strong command of compensation benchmarking tools (Radford, Mercer, Culpepper).
- Experience partnering crossfunctionally with TA, People Ops, Finance, Payroll, and Legal.
- Prior experience supporting multiple countries and navigating diverse regulatory environments.
- Experience managing vendors and external partners preferred.
Skills & Capabilities
- Advanced analytical skills with exceptional attention to detail and data accuracy.
- High proficiency in Excel/Sheets; experience with Power BI or Tableau a plus.
- Ability to convert complex data into actionable insights and recommendations.
- Strong influencing skills and ability to work in a global, matrixed environment.
- Excellent organizational skills; able to lead multiple processes across global cycles.
- Ability to maintain strict confidentiality and exercise sound judgment.
- A global mindset, cultural awareness, and an inclusive approach to decision-making.
Tools & Technology
- HRIS experience (HiBob preferred; equivalent systems such as Workday or SAP SuccessFactors also valuable).
- Compensation survey platforms (Radford, Mercer, Culpepper).
- Familiarity with global payroll or finance systems (e.g., ADP, NetSuite).
Compliance & Governance
- Knowledge of global statutory requirements, including statutory benefits, minimums, and local market norms.
- Awareness of pay transparency regulations (EU/US) and their impact on compensation structures.
- Strong understanding of data privacy laws (GDPR and local equivalents) and secure handling of compensation data.
Salary Range:
The anticipated base salary range for this position is between $119,000 and $142,000. Base salary ranges may vary by geographic location and relevant experience, education, certifications, and seniority as compared to others doing substantially similar work. There is no guarantee an offer will be at the top of the posted range based on the salary analysis.
Here are some of our local benefits:
- Generous Paid Time Off: Three weeks of PTO, plus 15 paid holidays, floating holidays, and increased holiday allowance based on tenure
- Health Coverage: Medical, dental, and vision insurance
- Retirement Savings: 401(k) plan with up to a 4% employer match
- Wellness Support: Gym membership subsidy
- Family & Lifestyle Benefits: Pet insurance and a College Savings Plan
- Employee Support: Employee Assistance Program (EAP)
#LI-MM1
Join ABBYY, and you will:
Love how you work
- We provide remote and hybrid working options to fit all lifestyles.
- We use flexible hours across most of our teams to allow you to find your own definition of balance.
- Encouraging a culture of giving, we provide two paid volunteering days off every year so you can take time to contribute to the causes you care about.
- To ensure your family is cared for, we offer paid parental leave in all our locations.
Love whom you work with
- We are a global team of 600+ colleagues, spread across 15 countries on four continents.
- With colleagues representing 30+ nationalities, our workforce reflects the world.
- Innovation and excellence run through our veins. Our teams gather the expertise which has garnered ABBYY more than 140 technology patents.
- We are guided by the values of respect, transparency, and simplicity.
- "Team Environment" is in the top three highest-scoring drivers of engagement across all of our departments.
Love what you work on
- We are a company with more than 35 years of experience in the technology market;
- Over 10,000 customers trust ABBYY, including many Fortune 500 ones, with names such as DHL, Johnson & Johnson, FDA, DMV, PwC, KeyBank, Spotify, and H&R BLOCK;
- We have modernized the capture market by creating the first low-code/no-code IDP platform.
- Our Machine Learning, Natural Language Processing, Computer Vision Technologies, and a marketplace built with AI, can transform any document in any process;
- Top Analyst firms recognize ABBYY's market leadership, including Gartner, Everest PEAK Matrix ® Assessment, ISG Intelligent Automation Lens, and NelsonHall, amongst others.
ABBYY is an Equal Employment Opportunity employer that values the strength that diversity brings to the workplace. To learn more about our commitment to Diversity and Inclusion, check out the careers section on our website.
Ready to apply?
Apply to ABBYY
Join ABBYY and be part of a team that celebrates your unique work style. With flexible work options, a supportive team, and rewards that reflect your value, you can focus on what matters most – driving your growth, while fueling ours.
Our commitment to respect, transparency, and simplicity means you can trust us to always choose to do the right thing.
As a trusted partner for purpose-built AI and intelligent automation, we solve highly complex problems for our enterprise customers and put their information to work to transform the way they do business. Over 10,000 customers trust ABBYY, including many Fortune 500 ones. You will work on further developing a portfolio already containing client names such as DHL, Johnson & Johnson, FDA, DMV, PwC, KeyBank, Spotify, and H&R BLOCK.
About the role:
ABBYY Vantage is our flagship Document AI platform – a cloud-native, microservices-based product that combines purpose-built AI, OCR, NLP, and direct LLM integration to help enterprise customers extract, classify, and act on data from any document. Vantage 3.0, our latest release, introduces native Azure OpenAI integration, enterprise-grade compliance and redaction, a real-time analytics dashboard, and a growing library of pre-configured AI skills. Over 10,000 customers trust ABBYY – including Fortune 500 companies like DHL, Johnson & Johnson, FDA, PwC, KeyBank, Spotify, and H&R Block – to automate their most complex document workflows.
We are looking for a Staff Software Engineer to serve as a senior technical leader on the Vantage platform. You will drive the design and delivery of complex, cross-cutting capabilities – spanning document AI pipelines, LLM integrations, compliance infrastructure, analytics, and platform extensibility. Beyond your own code, you will act as a technical multiplier: influencing architectural decisions, setting quality standards, and developing the engineers around you. This is a role for someone who leads through depth, judgment, and impact.
Job Responsibilities:
- Technical Leadership: Drive the technical design and delivery of significant Vantage platform capabilities, from architecture and API contracts through deployment, monitoring, and iteration.
- Quality & Standards: Define and uphold engineering standards for the Vantage codebase – covering code quality, service reliability, performance, security, and compliance – and drive their adoption across teams.
- Strategic Collaboration: Act as a senior technical voice in cross-functional planning with product management, ML engineering, cloud architecture, and engineering leadership; translate business priorities into actionable technical roadmaps.
- Platform Improvement: Lead initiatives to improve Vantage platform health at scale: service decomposition, observability, CI/CD maturity, and developer productivity.
- Operational Excellence: Own high-severity incident response for Vantage cloud services; drive post-mortems and systemic reliability improvements.
- Engineering Mentorship: Mentor Senior and Principal Engineers on the Vantage team; build a culture of technical rigor, shared ownership, and continuous learning.
- Technical Innovation: Evaluate and champion adoption of new technologies – from GenAI model integrations to cloud-native tooling – that strengthen ABBYY's Document AI differentiation.
Job Requirements:
- 10–13 years of professional software engineering experience with deep expertise in C# .NET and C++, willing to work with both languages
- Proven experience designing, implementing, and operating CI/CD pipelines for building, testing, and deploying workflows using GitHub Actions and/or Azure DevOps Pipelines
- Strong command of microservices architecture, distributed system design, and cloud-native patterns at enterprise scale
- Demonstrated ability to mentor Senior and Mid-level Engineers and partner with Engineering Managers on technical direction
- Experience leading technical design reviews and influencing architectural decisions across team and product boundaries
Desired Qualifications
- Experience in cloud, preferably using Microsoft Azure (AKS, Storage, Key Vaults, Azure SQL or equivalent)
- Track record of delivering production-grade systems that meet enterprise compliance, security, and reliability standards
- Hands-on experience designing and operating workflow-driven systems (orchestration, retries, timeouts, and state management)
- Experience integrating Machine Learning, Neural Networks or LLMs into enterprise applications and workflows
- Comfort operating across a globally distributed engineering organization spanning multiple regions and cultures
Here are some of our local benefits:
- Private health insurance;
- Volunteering Time Off (2 days/ year);
- Sports membership: FitPass;
- Flexible working hours;
- A brand new office, conveniently located in New Belgrade
#LI-MM1
Join ABBYY, and you will:
Love how you work
- We provide remote and hybrid working options to fit all lifestyles.
- We use flexible hours across most of our teams to allow you to find your own definition of balance.
- Encouraging a culture of giving, we provide two paid volunteering days off every year so you can take time to contribute to the causes you care about.
- To ensure your family is cared for, we offer paid parental leave in all our locations.
Love whom you work with
- We are a global team of 600+ colleagues, spread across 15 countries on four continents.
- With colleagues representing 30+ nationalities, our workforce reflects the world.
- Innovation and excellence run through our veins. Our teams gather the expertise which has garnered ABBYY more than 140 technology patents.
- We are guided by the values of respect, transparency, and simplicity.
- "Team Environment" is in the top three highest-scoring drivers of engagement across all of our departments.
Love what you work on
- We are a company with more than 35 years of experience in the technology market;
- Over 10,000 customers trust ABBYY, including many Fortune 500 ones, with names such as DHL, Johnson & Johnson, FDA, DMV, PwC, KeyBank, Spotify, and H&R BLOCK;
- We have modernized the capture market by creating the first low-code/no-code IDP platform.
- Our Machine Learning, Natural Language Processing, Computer Vision Technologies, and a marketplace built with AI, can transform any document in any process;
- Top Analyst firms recognize ABBYY's market leadership, including Gartner, Everest PEAK Matrix ® Assessment, ISG Intelligent Automation Lens, and NelsonHall, amongst others.
ABBYY is an Equal Employment Opportunity employer that values the strength that diversity brings to the workplace. To learn more about our commitment to Diversity and Inclusion, check out the careers section on our website.
Ready to apply?
Apply to ABBYY
Join ABBYY and be part of a team that celebrates your unique work style. With flexible work options, a supportive team, and rewards that reflect your value, you can focus on what matters most – driving your growth, while fueling ours.
Our commitment to respect, transparency, and simplicity means you can trust us to always choose to do the right thing.
As a trusted partner for purpose-built AI and intelligent automation, we solve highly complex problems for our enterprise customers and put their information to work to transform the way they do business. Over 10,000 customers trust ABBYY, including many Fortune 500 ones. You will work on further developing a portfolio already containing client names such as DHL, Johnson & Johnson, FDA, DMV, PwC, KeyBank, Spotify, and H&R BLOCK.
About the role:
ABBYY Vantage is our flagship Document AI platform – a cloud-native, microservices-based product that combines purpose-built AI, OCR, NLP, and direct LLM integration to help enterprise customers extract, classify, and act on data from any document. Vantage 3.0, our latest release, introduces native Azure OpenAI integration, enterprise-grade compliance and redaction, a real-time analytics dashboard, and a growing library of pre-configured AI skills. Over 10,000 customers trust ABBYY – including Fortune 500 companies like DHL, Johnson & Johnson, FDA, PwC, KeyBank, Spotify, and H&R Block – to automate their most complex document workflows.
We are looking for a Staff Software Engineer to serve as a senior technical leader on the Vantage platform. You will drive the design and delivery of complex, cross-cutting capabilities – spanning document AI pipelines, LLM integrations, compliance infrastructure, analytics, and platform extensibility. Beyond your own code, you will act as a technical multiplier: influencing architectural decisions, setting quality standards, and developing the engineers around you. This is a role for someone who leads through depth, judgment, and impact.
Job Responsibilities:
- Technical Leadership: Drive the technical design and delivery of significant Vantage platform capabilities, from architecture and API contracts through deployment, monitoring, and iteration.
- Quality & Standards: Define and uphold engineering standards for the Vantage codebase – covering code quality, service reliability, performance, security, and compliance – and drive their adoption across teams.
- Strategic Collaboration: Act as a senior technical voice in cross-functional planning with product management, ML engineering, cloud architecture, and engineering leadership; translate business priorities into actionable technical roadmaps.
- Platform Improvement: Lead initiatives to improve Vantage platform health at scale: service decomposition, observability, CI/CD maturity, and developer productivity.
- Operational Excellence: Own high-severity incident response for Vantage cloud services; drive post-mortems and systemic reliability improvements.
- Engineering Mentorship: Mentor Senior and Principal Engineers on the Vantage team; build a culture of technical rigor, shared ownership, and continuous learning.
- Technical Innovation: Evaluate and champion adoption of new technologies – from GenAI model integrations to cloud-native tooling – that strengthen ABBYY's Document AI differentiation.
Job Requirements:
- 10–13 years of professional software engineering experience with deep expertise in C# .NET and C++, willing to work with both languages
- Proven experience designing, implementing, and operating CI/CD pipelines for building, testing, and deploying workflows using GitHub Actions and/or Azure DevOps Pipelines
- Strong command of microservices architecture, distributed system design, and cloud-native patterns at enterprise scale
- Demonstrated ability to mentor Senior and Mid-level Engineers and partner with Engineering Managers on technical direction
- Experience leading technical design reviews and influencing architectural decisions across team and product boundaries
Desired Qualifications
- Experience in cloud, preferably using Microsoft Azure (AKS, Storage, Key Vaults, Azure SQL or equivalent)
- Track record of delivering production-grade systems that meet enterprise compliance, security, and reliability standards
- Hands-on experience designing and operating workflow-driven systems (orchestration, retries, timeouts, and state management)
- Experience integrating Machine Learning, Neural Networks or LLMs into enterprise applications and workflows
- Comfort operating across a globally distributed engineering organization spanning multiple regions and cultures
Here are some of our local benefits:
- Medical benefits after 90 days
- SZÉP Card allowance for recreational activities
- Volunteering Time Off (VTO)
- Company paid sick time up to 10 days per year
#LI-MM1
Join ABBYY, and you will:
Love how you work
- We provide remote and hybrid working options to fit all lifestyles.
- We use flexible hours across most of our teams to allow you to find your own definition of balance.
- Encouraging a culture of giving, we provide two paid volunteering days off every year so you can take time to contribute to the causes you care about.
- To ensure your family is cared for, we offer paid parental leave in all our locations.
Love whom you work with
- We are a global team of 600+ colleagues, spread across 15 countries on four continents.
- With colleagues representing 30+ nationalities, our workforce reflects the world.
- Innovation and excellence run through our veins. Our teams gather the expertise which has garnered ABBYY more than 140 technology patents.
- We are guided by the values of respect, transparency, and simplicity.
- "Team Environment" is in the top three highest-scoring drivers of engagement across all of our departments.
Love what you work on
- We are a company with more than 35 years of experience in the technology market;
- Over 10,000 customers trust ABBYY, including many Fortune 500 ones, with names such as DHL, Johnson & Johnson, FDA, DMV, PwC, KeyBank, Spotify, and H&R BLOCK;
- We have modernized the capture market by creating the first low-code/no-code IDP platform.
- Our Machine Learning, Natural Language Processing, Computer Vision Technologies, and a marketplace built with AI, can transform any document in any process;
- Top Analyst firms recognize ABBYY's market leadership, including Gartner, Everest PEAK Matrix ® Assessment, ISG Intelligent Automation Lens, and NelsonHall, amongst others.
ABBYY is an Equal Employment Opportunity employer that values the strength that diversity brings to the workplace. To learn more about our commitment to Diversity and Inclusion, check out the careers section on our website.
Ready to apply?
Apply to ABBYY
Join ABBYY and be part of a team that celebrates your unique work style. With flexible work options, a supportive team, and rewards that reflect your value, you can focus on what matters most – driving your growth, while fueling ours.
Our commitment to respect, transparency, and simplicity means you can trust us to always choose to do the right thing.
As a trusted partner for purpose-built AI and intelligent automation, we solve highly complex problems for our enterprise customers and put their information to work to transform the way they do business. Over 10,000 customers trust ABBYY, including many Fortune 500 ones. You will work on further developing a portfolio already containing client names such as DHL, Johnson & Johnson, FDA, DMV, PwC, KeyBank, Spotify, and H&R BLOCK.
Job Responsibilities:
Technical Leadership & Architecture
- Guide architectural decisions for computer vision and multimodal systems
- Drive implementation of novel ML approaches and best practices
- Lead technical design reviews and architecture discussions
- Establish patterns for model development and deployment
- Evaluate and introduce new technologies and methodologies
- Ensure technical excellence across ML initiatives
Team Mentorship & Growth
- Mentor senior and junior machine learning engineers
- Foster a culture of engineering excellence and knowledge sharing
- Guide career development of team members
- Lead technical discussions and learning sessions
- Review and provide feedback on technical approaches
- Help build and maintain high engineering standards
Technical Implementation & Scale
- Lead development of complex ML systems and architectures
- Guide optimization of model performance and efficiency
- Establish frameworks for model evaluation and validation
- Drive improvements in development and deployment processes
- Ensure production readiness and system reliability
- Architect scalable ML solutions
Job Requirements:
Education & Experience
- MS or PhD in Computer Science, Engineering, Mathematics, or related field
- 8+ years of experience in Machine Learning/AI
- Deep expertise in computer vision and deep learning
- Proven track record of leading successful ML projects
- Experience mentoring engineers and driving technical excellence
Technical Expertise
- Expert knowledge of computer vision and multimodal architectures
- Deep understanding of ML system design and scalability
- Strong programming skills in Python and modern ML frameworks
- Extensive experience with production ML systems
- Proven ability to solve complex technical challenges
- Strong background in performance optimization
Leadership & Communication
- Demonstrated ability to mentor and grow engineers
- Strong track record of driving technical decisions
- Excellence in technical communication and documentation
- Experience leading architectural discussions
- Ability to influence and drive consensus
- Track record of fostering team growth
This role offers the opportunity to shape both our technical direction and team growth while working on cutting-edge computer vision systems. The ideal candidate will combine deep technical expertise with strong mentorship abilities to drive both project success and team development.
Here are some of our local benefits:
- Medical benefits after 90 days
- SZÉP Card allowance for recreational activities
- Volunteering Time Off (VTO)
- Company paid sick time up to 10 days per year
#LI-MM1
Join ABBYY, and you will:
Love how you work
- We provide remote and hybrid working options to fit all lifestyles.
- We use flexible hours across most of our teams to allow you to find your own definition of balance.
- Encouraging a culture of giving, we provide two paid volunteering days off every year so you can take time to contribute to the causes you care about.
- To ensure your family is cared for, we offer paid parental leave in all our locations.
Love whom you work with
- We are a global team of 600+ colleagues, spread across 15 countries on four continents.
- With colleagues representing 30+ nationalities, our workforce reflects the world.
- Innovation and excellence run through our veins. Our teams gather the expertise which has garnered ABBYY more than 140 technology patents.
- We are guided by the values of respect, transparency, and simplicity.
- "Team Environment" is in the top three highest-scoring drivers of engagement across all of our departments.
Love what you work on
- We are a company with more than 35 years of experience in the technology market;
- Over 10,000 customers trust ABBYY, including many Fortune 500 ones, with names such as DHL, Johnson & Johnson, FDA, DMV, PwC, KeyBank, Spotify, and H&R BLOCK;
- We have modernized the capture market by creating the first low-code/no-code IDP platform.
- Our Machine Learning, Natural Language Processing, Computer Vision Technologies, and a marketplace built with AI, can transform any document in any process;
- Top Analyst firms recognize ABBYY's market leadership, including Gartner, Everest PEAK Matrix ® Assessment, ISG Intelligent Automation Lens, and NelsonHall, amongst others.
ABBYY is an Equal Employment Opportunity employer that values the strength that diversity brings to the workplace. To learn more about our commitment to Diversity and Inclusion, check out the careers section on our website.
Ready to apply?
Apply to ABBYY
Join ABBYY and be part of a team that celebrates your unique work style. With flexible work options, a supportive team, and rewards that reflect your value, you can focus on what matters most – driving your growth, while fueling ours.
Our commitment to respect, transparency, and simplicity means you can trust us to always choose to do the right thing.
As a trusted partner for purpose-built AI and intelligent automation, we solve highly complex problems for our enterprise customers and put their information to work to transform the way they do business. Over 10,000 customers trust ABBYY, including many Fortune 500 ones. You will work on further developing a portfolio already containing client names such as DHL, Johnson & Johnson, FDA, DMV, PwC, KeyBank, Spotify, and H&R BLOCK.
About the role:
ABBYY Vantage is our flagship Document AI platform – a cloud-native, microservices-based product that combines purpose-built AI, OCR, NLP, and direct LLM integration to help enterprise customers extract, classify, and act on data from any document. Vantage 3.0, our latest release, introduces native Azure OpenAI integration, enterprise-grade compliance and redaction, a real-time analytics dashboard, and a growing library of pre-configured AI skills. Over 10,000 customers trust ABBYY – including Fortune 500 companies like DHL, Johnson & Johnson, FDA, PwC, KeyBank, Spotify, and H&R Block – to automate their most complex document workflows.
We are looking for a Senior Software Engineer to join the Vantage engineering team. You will be a hands-on contributor building and evolving the services that power Vantage's document AI capabilities – from OCR pipelines and skill training workflows to API integrations and analytics infrastructure. You bring strong engineering fundamentals, a quality-first mindset, and a drive to deliver reliable, scalable software in a cloud-native environment.
Job Responsibilities:
- End-to-End Development: Design, develop, test, and deploy features and services within the Vantage platform, contributing to areas such as document processing pipelines, AI skill management, cloud infrastructure, and API layers.
- Code Quality: Write clean, maintainable, well-tested code; actively participate in code reviews and champion engineering best practices across your team.
- Cross-Functional Collaboration: Work closely with product managers, UX designers, ML engineers, and fellow software engineers to translate Vantage feature requirements into well-architected solutions.
- Continuous Improvement: Identify and surface improvements to existing Vantage services, tooling, and delivery workflows; contribute to reducing technical debt and increasing engineering velocity.
- System Reliability: Monitor the health and performance of Vantage cloud services; investigate and resolve production incidents in a timely manner.
- Technical Growth: Stay current with advances in Document AI, cloud-native patterns, and GenAI integration approaches that could enhance the Vantage platform.
Job Requirements:
- 5–9 years of professional software engineering experience with deep expertise in C# .NET and C++, willing to work with both languages
- Proven experience designing, implementing, and operating CI/CD pipelines for building, testing, and deploying workflows using GitHub Actions and/or Azure DevOps Pipelines
- Good understanding of microservices architecture, distributed system design, and cloud-native patterns at enterprise scale
- Demonstrated track record of delivering high-quality, testable code
- Strong analytical and debugging skills with the ability to investigate complex issues across distributed systems
Desired Qualifications
- Experience in cloud, preferably using Microsoft Azure (AKS, Storage, Key Vaults, Azure SQL or equivalent)
- Hands-on experience designing and operating workflow-driven systems (orchestration, retries, timeouts, and state management)
- Experience integrating Machine Learning, Neural Networks or LLMs into enterprise applications and workflows
- Familiarity with OCR, NLP and computer vision technologies
- Comfort operating across a globally distributed engineering organization spanning multiple regions and cultures
Here are some of our local benefits:
- Private health insurance;
- Volunteering Time Off (2 days/ year);
- Sports membership: FitPass;
- Flexible working hours;
- A brand new office, conveniently located in New Belgrade
#LI-MM1
Join ABBYY, and you will:
Love how you work
- We provide remote and hybrid working options to fit all lifestyles.
- We use flexible hours across most of our teams to allow you to find your own definition of balance.
- Encouraging a culture of giving, we provide two paid volunteering days off every year so you can take time to contribute to the causes you care about.
- To ensure your family is cared for, we offer paid parental leave in all our locations.
Love whom you work with
- We are a global team of 600+ colleagues, spread across 15 countries on four continents.
- With colleagues representing 30+ nationalities, our workforce reflects the world.
- Innovation and excellence run through our veins. Our teams gather the expertise which has garnered ABBYY more than 140 technology patents.
- We are guided by the values of respect, transparency, and simplicity.
- "Team Environment" is in the top three highest-scoring drivers of engagement across all of our departments.
Love what you work on
- We are a company with more than 35 years of experience in the technology market;
- Over 10,000 customers trust ABBYY, including many Fortune 500 ones, with names such as DHL, Johnson & Johnson, FDA, DMV, PwC, KeyBank, Spotify, and H&R BLOCK;
- We have modernized the capture market by creating the first low-code/no-code IDP platform.
- Our Machine Learning, Natural Language Processing, Computer Vision Technologies, and a marketplace built with AI, can transform any document in any process;
- Top Analyst firms recognize ABBYY's market leadership, including Gartner, Everest PEAK Matrix ® Assessment, ISG Intelligent Automation Lens, and NelsonHall, amongst others.
ABBYY is an Equal Employment Opportunity employer that values the strength that diversity brings to the workplace. To learn more about our commitment to Diversity and Inclusion, check out the careers section on our website.
Ready to apply?
Apply to ABBYY
Join ABBYY and be part of a team that celebrates your unique work style. With flexible work options, a supportive team, and rewards that reflect your value, you can focus on what matters most – driving your growth, while fueling ours.
Our commitment to respect, transparency, and simplicity means you can trust us to always choose to do the right thing.
As a trusted partner for purpose-built AI and intelligent automation, we solve highly complex problems for our enterprise customers and put their information to work to transform the way they do business. Over 10,000 customers trust ABBYY, including many Fortune 500 ones. You will work on further developing a portfolio already containing client names such as DHL, Johnson & Johnson, FDA, DMV, PwC, KeyBank, Spotify, and H&R BLOCK.
About the role:
ABBYY Vantage is our flagship Document AI platform – a cloud-native, microservices-based product that combines purpose-built AI, OCR, NLP, and direct LLM integration to help enterprise customers extract, classify, and act on data from any document. Vantage 3.0, our latest release, introduces native Azure OpenAI integration, enterprise-grade compliance and redaction, a real-time analytics dashboard, and a growing library of pre-configured AI skills. Over 10,000 customers trust ABBYY – including Fortune 500 companies like DHL, Johnson & Johnson, FDA, PwC, KeyBank, Spotify, and H&R Block – to automate their most complex document workflows.
We are looking for a Senior Software Engineer to join the Vantage engineering team. You will be a hands-on contributor building and evolving the services that power Vantage's document AI capabilities – from OCR pipelines and skill training workflows to API integrations and analytics infrastructure. You bring strong engineering fundamentals, a quality-first mindset, and a drive to deliver reliable, scalable software in a cloud-native environment.
Job Responsibilities:
- End-to-End Development: Design, develop, test, and deploy features and services within the Vantage platform, contributing to areas such as document processing pipelines, AI skill management, cloud infrastructure, and API layers.
- Code Quality: Write clean, maintainable, well-tested code; actively participate in code reviews and champion engineering best practices across your team.
- Cross-Functional Collaboration: Work closely with product managers, UX designers, ML engineers, and fellow software engineers to translate Vantage feature requirements into well-architected solutions.
- Continuous Improvement: Identify and surface improvements to existing Vantage services, tooling, and delivery workflows; contribute to reducing technical debt and increasing engineering velocity.
- System Reliability: Monitor the health and performance of Vantage cloud services; investigate and resolve production incidents in a timely manner.
- Technical Growth: Stay current with advances in Document AI, cloud-native patterns, and GenAI integration approaches that could enhance the Vantage platform.
Job Requirements:
- 5–9 years of professional software engineering experience with deep expertise in C# .NET and C++, willing to work with both languages
- Proven experience designing, implementing, and operating CI/CD pipelines for building, testing, and deploying workflows using GitHub Actions and/or Azure DevOps Pipelines
- Good understanding of microservices architecture, distributed system design, and cloud-native patterns at enterprise scale
- Demonstrated track record of delivering high-quality, testable code
- Strong analytical and debugging skills with the ability to investigate complex issues across distributed systems
Desired Qualifications
- Experience in cloud, preferably using Microsoft Azure (AKS, Storage, Key Vaults, Azure SQL or equivalent)
- Hands-on experience designing and operating workflow-driven systems (orchestration, retries, timeouts, and state management)
- Experience integrating Machine Learning, Neural Networks or LLMs into enterprise applications and workflows
- Familiarity with OCR, NLP and computer vision technologies
- Comfort operating across a globally distributed engineering organization spanning multiple regions and cultures
Here are some of our local benefits:
- Medical benefits after 90 days
- SZÉP Card allowance for recreational activities
- Volunteering Time Off (VTO)
- Company paid sick time up to 10 days per year
#LI-MM1
Join ABBYY, and you will:
Love how you work
- We provide remote and hybrid working options to fit all lifestyles.
- We use flexible hours across most of our teams to allow you to find your own definition of balance.
- Encouraging a culture of giving, we provide two paid volunteering days off every year so you can take time to contribute to the causes you care about.
- To ensure your family is cared for, we offer paid parental leave in all our locations.
Love whom you work with
- We are a global team of 600+ colleagues, spread across 15 countries on four continents.
- With colleagues representing 30+ nationalities, our workforce reflects the world.
- Innovation and excellence run through our veins. Our teams gather the expertise which has garnered ABBYY more than 140 technology patents.
- We are guided by the values of respect, transparency, and simplicity.
- "Team Environment" is in the top three highest-scoring drivers of engagement across all of our departments.
Love what you work on
- We are a company with more than 35 years of experience in the technology market;
- Over 10,000 customers trust ABBYY, including many Fortune 500 ones, with names such as DHL, Johnson & Johnson, FDA, DMV, PwC, KeyBank, Spotify, and H&R BLOCK;
- We have modernized the capture market by creating the first low-code/no-code IDP platform.
- Our Machine Learning, Natural Language Processing, Computer Vision Technologies, and a marketplace built with AI, can transform any document in any process;
- Top Analyst firms recognize ABBYY's market leadership, including Gartner, Everest PEAK Matrix ® Assessment, ISG Intelligent Automation Lens, and NelsonHall, amongst others.
ABBYY is an Equal Employment Opportunity employer that values the strength that diversity brings to the workplace. To learn more about our commitment to Diversity and Inclusion, check out the careers section on our website.
Ready to apply?
Apply to ABBYY
Join ABBYY and be part of a team that celebrates your unique work style. With flexible work options, a supportive team, and rewards that reflect your value, you can focus on what matters most – driving your growth, while fueling ours.
Our commitment to respect, transparency, and simplicity means you can trust us to always choose to do the right thing.
As a trusted partner for purpose-built AI and intelligent automation, we solve highly complex problems for our enterprise customers and put their information to work to transform the way they do business. Over 10,000 customers trust ABBYY, including many Fortune 500 ones. You will work on further developing a portfolio already containing client names such as DHL, Johnson & Johnson, FDA, DMV, PwC, KeyBank, Spotify, and H&R BLOCK.
About the role:
As a trusted partner for intelligent automation, we solve highly complex problems for our enterprise customers and put their information to work to transform the way they do business. Innovation and excellence run through our veins, and you'll work with experts who are creating market-leading technologies, using Machine Learning, Artificial Intelligence, and an advanced, sophisticated tech stack.
We are seeking a skilled Staff Software Engineer to drive the modernization and evolution of our C++ Computer Vision library, including the development of new algorithms specifically for Intelligent Document Processing (IDP). This role focuses on deep technical expertise to deliver robust, high-performance Computer Vision solutions that support our product teams. Our extensive library incorporates algorithms from Classical Computer Vision, Machine Learning, Deep Learning, to cutting-edge Multimodal models. The ideal candidate will design and implement core library architecture while mentoring team members and collaborating across functions to ensure the long-term success of our vision technology. Strong experience with Computer Vision concepts and algorithms is highly valued.
Job Responsibilities:
Technical Leadership & Innovation
- Design and implement major architectural improvements to our C++ Computer Vision library
- Drive technical decisions for library modernization, scalability, and performance
- Establish technical standards and best practices for C++ development
- Lead implementation of critical algorithms and optimization initiatives
- Design robust error handling, testing, and verification systems
- Develop solutions for code quality, maintainability, and developer experience
Technical Mentorship & Collaboration
- Mentor senior and junior engineers on technical challenges
- Provide expert guidance on complex modernization implementations
- Drive adoption of modern C++ engineering best practices
- Facilitate technical knowledge sharing and design discussions
- Contribute technical insights to roadmap planning
- Elevate team capabilities through knowledge transfer
Architecture & Innovation
- Design and implement high-performance, memory-efficient algorithms
- Lead major refactoring and modernization initiatives
- Develop new Computer Vision algorithms focused on Intelligent Document Processing
- Establish patterns for cross-platform compatibility
- Implement advanced optimization techniques
- Design library architecture for internal product teams
- Ensure robustness and reliability of production systems
Job Requirements:
Education & Experience
- Bachelor's or Master's degree in Computer Science, Engineering, or related field
- 5+ years of software engineering experience
- Strong background in C++ development and cross-platform library design
- Cross-Platform experience in at least a couple of platforms: Windows, Linux, Mac
- Experience building and maintaining production-grade software systems
Technical Expertise
- Deep knowledge of modern C++
- Expertise in software architecture and design patterns
- Strong understanding of Computer Vision and Machine Learning algorithms and techniques
- Experience with performance optimization and profiling
- Knowledge of low-level system programming considerations
- Background in building maintainable, well-tested software components
Technical Leadership & Communication
- Experience technically guiding a team and mentoring engineers on technical challenges
- Track record of driving architectural and design decisions
- Strong team collaboration and communication skills
- Ability to work effectively across technical teams
- History of solving complex engineering problems
This role offers the opportunity to shape essential Computer Vision technology while growing technical leadership skills. The ideal candidate will combine deep C++, Computer Vision and ML expertise with the ability to implement complex technical solutions and mentor others.
Here are some of our local benefits:
- Medical benefits after 90 days
- SZÉP Card allowance for recreational activities
- Volunteering Time Off (VTO)
- Company paid sick time up to 10 days per year
#LI-MM1
Join ABBYY, and you will:
Love how you work
- We provide remote and hybrid working options to fit all lifestyles.
- We use flexible hours across most of our teams to allow you to find your own definition of balance.
- Encouraging a culture of giving, we provide two paid volunteering days off every year so you can take time to contribute to the causes you care about.
- To ensure your family is cared for, we offer paid parental leave in all our locations.
Love whom you work with
- We are a global team of 600+ colleagues, spread across 15 countries on four continents.
- With colleagues representing 30+ nationalities, our workforce reflects the world.
- Innovation and excellence run through our veins. Our teams gather the expertise which has garnered ABBYY more than 140 technology patents.
- We are guided by the values of respect, transparency, and simplicity.
- "Team Environment" is in the top three highest-scoring drivers of engagement across all of our departments.
Love what you work on
- We are a company with more than 35 years of experience in the technology market;
- Over 10,000 customers trust ABBYY, including many Fortune 500 ones, with names such as DHL, Johnson & Johnson, FDA, DMV, PwC, KeyBank, Spotify, and H&R BLOCK;
- We have modernized the capture market by creating the first low-code/no-code IDP platform.
- Our Machine Learning, Natural Language Processing, Computer Vision Technologies, and a marketplace built with AI, can transform any document in any process;
- Top Analyst firms recognize ABBYY's market leadership, including Gartner, Everest PEAK Matrix ® Assessment, ISG Intelligent Automation Lens, and NelsonHall, amongst others.
ABBYY is an Equal Employment Opportunity employer that values the strength that diversity brings to the workplace. To learn more about our commitment to Diversity and Inclusion, check out the careers section on our website.
Ready to apply?
Apply to ABBYY
Join ABBYY and be part of a team that celebrates your unique work style. With flexible work options, a supportive team, and rewards that reflect your value, you can focus on what matters most – driving your growth, while fueling ours.
Our commitment to respect, transparency, and simplicity means you can trust us to always choose to do the right thing.
As a trusted partner for purpose-built AI and intelligent automation, we solve highly complex problems for our enterprise customers and put their information to work to transform the way they do business. Over 10,000 customers trust ABBYY, including many Fortune 500 ones. You will work on further developing a portfolio already containing client names such as DHL, Johnson & Johnson, FDA, DMV, PwC, KeyBank, Spotify, and H&R BLOCK.
About the role:
ABBYY is seeking an HR Systems Analyst to design, optimize, and scale systems that power the global employee lifecycle. This role sits at the intersection of People, Data, and Operations, ensuring a seamless, data-driven employee experience.
You will own and integrate our core People tech stack (HiBob, Greenhouse, SharePoint, Power BI), transforming them into a unified, efficient system that drives automation, accuracy, and insight across the organization.
Job Responsibilities:
HR Systems Ownership
- Manage and optimize HiBob, Greenhouse, and related tools
- Ensure data integrity, security, and system performance
- Drive adoption and continuous improvement
Workflow & Automation
- Design scalable workflows across hiring, onboarding, employee changes, and offboarding
- Automate processes using Power Automate and native tools to reduce manual work
Systems Integration
- Own integrations across HR, Finance, and IT systems (e.g., payroll, NetSuite)
- Manage APIs and data flows to maintain a single source of truth
Data & Reporting
- Build Power BI dashboards for workforce insights
- Track key metrics (hiring, headcount, attrition, performance)
- Deliver actionable insights to leadership
Process Standardization
- Translate business needs into scalable system solutions
- Establish global standards while supporting local flexibility
Job Requirements:
- 4–7+ years in HRIS / People Systems roles
- Experience with HiBob (or similar HRIS) and Greenhouse (or ATS)
- Strong skills in SharePoint, Power BI, and workflow automation
- Experience with APIs, integrations, and data pipelines
- Proficiency in Excel; SQL preferred
- Strong problem-solving and system-thinking mindset
Salary Range:
- The anticipated base salary range for this position is between $95,000 and $115,000. Base salary ranges may vary by geographic location and relevant experience, education, certifications, and seniority as compared to others doing substantially similar work. There is no guarantee an offer will be at the top of the posted range based on the salary analysis.
Here are some of our local benefits:
- Generous Paid Time Off: Three weeks of PTO, plus 15 paid holidays, floating holidays, and increased holiday allowance based on tenure
- Health Coverage: Medical, dental, and vision insurance
- Retirement Savings: 401(k) plan with up to a 4% employer match
- Wellness Support: Gym membership subsidy
- Family & Lifestyle Benefits: Pet insurance and a College Savings Plan
- Employee Support: Employee Assistance Program (EAP)
#LI-MM1
Join ABBYY, and you will:
Love how you work
- We provide remote and hybrid working options to fit all lifestyles.
- We use flexible hours across most of our teams to allow you to find your own definition of balance.
- Encouraging a culture of giving, we provide two paid volunteering days off every year so you can take time to contribute to the causes you care about.
- To ensure your family is cared for, we offer paid parental leave in all our locations.
Love whom you work with
- We are a global team of 600+ colleagues, spread across 15 countries on four continents.
- With colleagues representing 30+ nationalities, our workforce reflects the world.
- Innovation and excellence run through our veins. Our teams gather the expertise which has garnered ABBYY more than 140 technology patents.
- We are guided by the values of respect, transparency, and simplicity.
- "Team Environment" is in the top three highest-scoring drivers of engagement across all of our departments.
Love what you work on
- We are a company with more than 35 years of experience in the technology market;
- Over 10,000 customers trust ABBYY, including many Fortune 500 ones, with names such as DHL, Johnson & Johnson, FDA, DMV, PwC, KeyBank, Spotify, and H&R BLOCK;
- We have modernized the capture market by creating the first low-code/no-code IDP platform.
- Our Machine Learning, Natural Language Processing, Computer Vision Technologies, and a marketplace built with AI, can transform any document in any process;
- Top Analyst firms recognize ABBYY's market leadership, including Gartner, Everest PEAK Matrix ® Assessment, ISG Intelligent Automation Lens, and NelsonHall, amongst others.
ABBYY is an Equal Employment Opportunity employer that values the strength that diversity brings to the workplace. To learn more about our commitment to Diversity and Inclusion, check out the careers section on our website.
Ready to apply?
Apply to ABBYY
Join ABBYY and be part of a team that celebrates your unique work style. With flexible work options, a supportive team, and rewards that reflect your value, you can focus on what matters most – driving your growth, while fueling ours.
Our commitment to respect, transparency, and simplicity means you can trust us to always choose to do the right thing.
As a trusted partner for purpose-built AI and intelligent automation, we solve highly complex problems for our enterprise customers and put their information to work to transform the way they do business. Over 10,000 customers trust ABBYY, including many Fortune 500 ones. You will work on further developing a portfolio already containing client names such as DHL, Johnson & Johnson, FDA, DMV, PwC, KeyBank, Spotify, and H&R BLOCK.
About the role:
ABBYY is seeking an HR Systems Analyst to design, optimize, and scale systems that power the global employee lifecycle. This role sits at the intersection of People, Data, and Operations, ensuring a seamless, data-driven employee experience.
You will own and integrate our core People tech stack (HiBob, Greenhouse, SharePoint, Power BI), transforming them into a unified, efficient system that drives automation, accuracy, and insight across the organization.
Job Responsibilities:
HR Systems Ownership
- Manage and optimize HiBob, Greenhouse, and related tools
- Ensure data integrity, security, and system performance
- Drive adoption and continuous improvement
Workflow & Automation
- Design scalable workflows across hiring, onboarding, employee changes, and offboarding
- Automate processes using Power Automate and native tools to reduce manual work
Systems Integration
- Own integrations across HR, Finance, and IT systems (e.g., payroll, NetSuite)
- Manage APIs and data flows to maintain a single source of truth
- Data & Reporting
- Build Power BI dashboards for workforce insights
- Track key metrics (hiring, headcount, attrition, performance)
- Deliver actionable insights to leadership
- Process Standardization
- Translate business needs into scalable system solutions
- Establish global standards while supporting local flexibility
Job Requirements:
- 4–7+ years in HRIS / People Systems roles
- Experience with HiBob (or similar HRIS) and Greenhouse (or ATS)
- Strong skills in SharePoint, Power BI, and workflow automation
- Experience with APIs, integrations, and data pipelines
- Proficiency in Excel; SQL preferred
- Strong problem-solving and system-thinking mindset
Here are some of our local benefits:
- Medical benefits after 90 days
- SZÉP Card allowance for recreational activities
- Volunteering Time Off (VTO)
- Company paid sick time up to 10 days per year
#LI-MM1
Join ABBYY, and you will:
Love how you work
- We provide remote and hybrid working options to fit all lifestyles.
- We use flexible hours across most of our teams to allow you to find your own definition of balance.
- Encouraging a culture of giving, we provide two paid volunteering days off every year so you can take time to contribute to the causes you care about.
- To ensure your family is cared for, we offer paid parental leave in all our locations.
Love whom you work with
- We are a global team of 600+ colleagues, spread across 15 countries on four continents.
- With colleagues representing 30+ nationalities, our workforce reflects the world.
- Innovation and excellence run through our veins. Our teams gather the expertise which has garnered ABBYY more than 140 technology patents.
- We are guided by the values of respect, transparency, and simplicity.
- "Team Environment" is in the top three highest-scoring drivers of engagement across all of our departments.
Love what you work on
- We are a company with more than 35 years of experience in the technology market;
- Over 10,000 customers trust ABBYY, including many Fortune 500 ones, with names such as DHL, Johnson & Johnson, FDA, DMV, PwC, KeyBank, Spotify, and H&R BLOCK;
- We have modernized the capture market by creating the first low-code/no-code IDP platform.
- Our Machine Learning, Natural Language Processing, Computer Vision Technologies, and a marketplace built with AI, can transform any document in any process;
- Top Analyst firms recognize ABBYY's market leadership, including Gartner, Everest PEAK Matrix ® Assessment, ISG Intelligent Automation Lens, and NelsonHall, amongst others.
ABBYY is an Equal Employment Opportunity employer that values the strength that diversity brings to the workplace. To learn more about our commitment to Diversity and Inclusion, check out the careers section on our website.
Ready to apply?
Apply to ABBYY
Join ABBYY and be part of a team that celebrates your unique work style. With flexible work options, a supportive team, and rewards that reflect your value, you can focus on what matters most – driving your growth, while fueling ours.
Our commitment to respect, transparency, and simplicity means you can trust us to always choose to do the right thing.
As a trusted partner for purpose-built AI and intelligent automation, we solve highly complex problems for our enterprise customers and put their information to work to transform the way they do business. Over 10,000 customers trust ABBYY, including many Fortune 500 ones. You will work on further developing a portfolio already containing client names such as DHL, Johnson & Johnson, FDA, DMV, PwC, KeyBank, Spotify, and H&R BLOCK.
About the role:
ABBYY is seeking an HR Systems Analyst to design, optimize, and scale systems that power the global employee lifecycle. This role sits at the intersection of People, Data, and Operations, ensuring a seamless, data-driven employee experience.
You will own and integrate our core People tech stack (HiBob, Greenhouse, SharePoint, Power BI), transforming them into a unified, efficient system that drives automation, accuracy, and insight across the organization.
Job Responsibilities:
HR Systems Ownership
- Manage and optimize HiBob, Greenhouse, and related tools
- Ensure data integrity, security, and system performance
- Drive adoption and continuous improvement
Workflow & Automation
- Design scalable workflows across hiring, onboarding, employee changes, and offboarding
- Automate processes using Power Automate and native tools to reduce manual work
Systems Integration
- Own integrations across HR, Finance, and IT systems (e.g., payroll, NetSuite)
- Manage APIs and data flows to maintain a single source of truth
Data & Reporting
- Build Power BI dashboards for workforce insights
- Track key metrics (hiring, headcount, attrition, performance)
- Deliver actionable insights to leadership
- Process Standardization
- Translate business needs into scalable system solutions
- Establish global standards while supporting local flexibility
Job Requirements:
- 4–7+ years in HRIS / People Systems roles
- Experience with HiBob (or similar HRIS) and Greenhouse (or ATS)
- Strong skills in SharePoint, Power BI, and workflow automation
- Experience with APIs, integrations, and data pipelines
- Proficiency in Excel; SQL preferred
- Strong problem-solving and system-thinking mindset
Here are some of our local benefits:
- Comprehensive medical, accidental, and life insurance
- Weekly wellness sessions to support your physical and mental well-being
- A generous paid time off policy
#LI-MM1
Join ABBYY, and you will:
Love how you work
- We provide remote and hybrid working options to fit all lifestyles.
- We use flexible hours across most of our teams to allow you to find your own definition of balance.
- Encouraging a culture of giving, we provide two paid volunteering days off every year so you can take time to contribute to the causes you care about.
- To ensure your family is cared for, we offer paid parental leave in all our locations.
Love whom you work with
- We are a global team of 600+ colleagues, spread across 15 countries on four continents.
- With colleagues representing 30+ nationalities, our workforce reflects the world.
- Innovation and excellence run through our veins. Our teams gather the expertise which has garnered ABBYY more than 140 technology patents.
- We are guided by the values of respect, transparency, and simplicity.
- "Team Environment" is in the top three highest-scoring drivers of engagement across all of our departments.
Love what you work on
- We are a company with more than 35 years of experience in the technology market;
- Over 10,000 customers trust ABBYY, including many Fortune 500 ones, with names such as DHL, Johnson & Johnson, FDA, DMV, PwC, KeyBank, Spotify, and H&R BLOCK;
- We have modernized the capture market by creating the first low-code/no-code IDP platform.
- Our Machine Learning, Natural Language Processing, Computer Vision Technologies, and a marketplace built with AI, can transform any document in any process;
- Top Analyst firms recognize ABBYY's market leadership, including Gartner, Everest PEAK Matrix ® Assessment, ISG Intelligent Automation Lens, and NelsonHall, amongst others.
ABBYY is an Equal Employment Opportunity employer that values the strength that diversity brings to the workplace. To learn more about our commitment to Diversity and Inclusion, check out the careers section on our website.
Ready to apply?
Apply to ABBYY
Senior AI Engineer
Share this job
Here’s a summary of the role:
You are a seasoned AI engineer ready to design, ship, and own production‑grade agentic systems that solve real enterprise problems. At Diligent, you’ll take technical ownership of Compliance in a Box (CiaB) — a flagship AI platform reshaping how organisations manage governance, risk, and compliance at scale.
You’ll architect and evolve the AI reasoning layer and agent orchestration framework at the heart of the product, shaping how multiple intelligent agents collaborate, reason, and operate safely in high‑stakes, regulated environments. This is hands‑on, deeply technical work — from system design to prompt strategy to evaluation — not research theatre.
Partnering closely with product, security, and platform teams, you’ll make high‑impact decisions, move quickly, and see your work land in production fast. If you’re motivated by ownership, technical depth, and building AI systems that actually matter, this is your chance to set the standard for enterprise‑ready agentic AI.
Here’s a breakdown of what you’ll do (not all of it, just the important stuff):
- Build and maintain the GRC Brain (AI reasoning layer) and Agentic Cortex (agent orchestration framework) — the technical core of our Compliance in a Box product
- Design and implement a 7-agent architecture: OnboardingAgent, ScopeAgent, StandardsMapper, RiskQuantifier, PolicyAnalyzer, InfrastructureAuditor, and ComplianceMonitor
- Implement Human-in-the-Loop (HITL) gates across agent workflows, and tune prompts and confidence scoring for Bedrock-hosted models
- Own the agent evaluation framework — measuring quality, latency, and reliability to keep CiaB performant and production-ready
- Collaborate with cross-functional teams to deliver CiaB feature-complete by Week 7 — your work ships fast and your impact is visible from day one
These are the essentials you’ll need to get an interview:
- A degree in Computer Science, Software Engineering, or a related IT discipline
- Demonstrable understanding of AI/ML concepts, including LLMs and agent-based systems
- Ability to write clean, well-tested code — Python preferred
- Strong experience of shipping real AI products - not chatbots!
- Strong communication skills and a collaborative mindset
It would be great if you had these to, but we’ll support you if you don’t:
- Exposure to AWS services, especially Amazon Bedrock or similar LLM hosting platforms
- Familiarity with GRC concepts (governance, risk, compliance) or cybersecurity frameworks such as ISO 27001 or SOC 2
- Any experience with agent orchestration libraries (e.g. LangChain, CrewAI, AutoGen)
About Us
Diligent is the AI leader in governance, risk and compliance (GRC) SaaS solutions, helping more than 1 million users and 700,000 board members to clarify risk and elevate governance. The Diligent One Platform gives practitioners, the C-Suite and the board a consolidated view of their entire GRC practice so they can more effectively manage risk, build greater resilience and make better decisions, faster.
Learn more at diligent.com or follow us on LinkedIn and Facebook
What Diligent Offers You
- Creativity is ingrained in our culture. We are innovative collaborators by nature. We thrive in exploring how things can be differently both in our internal processes and to help our clients
- We care about our people. Diligent offers a flexible work environment, global days of service, comprehensive health benefits, meeting free days, generous time off policy and wellness programs to name a few
- We have teams all over the world. We may be headquartered in New York City, but we have office hubs in Washington D.C., Vancouver, London, Galway, Budapest, Munich, Bengaluru, Singapore, and Sydney.
- Diversity is important to us. Growing, maintaining and promoting a diverse team is a top priority for us. We foster and encourage diversity through our Employee Resource Groups and provide access to resources and education to support the education of our team, facilitate dialogue, and foster understanding.
Diligent created the modern governance movement. Our world-changing idea is to empower leaders with the technology, insights and connections they need to drive greater impact and accountability – to lead with purpose. Our employees are passionate, smart, and creative people who not only want to help build the software company of the future, but who want to make the world a more sustainable, equitable and better place.
Headquartered in New York, Diligent has offices in Washington D.C., London, Galway, Budapest, Vancouver, Bengaluru, Munich, Singapore and Sydney. To foster strong collaboration and connection, this role will follow a hybrid work model. If you are within a commuting distance to one of our Diligent office locations, you will be expected to work onsite at least 50% of the time. We believe that in-person engagement helps drive innovation, teamwork, and a strong sense of community.
We are a drug free workplace. Diligent is proud to be an equal opportunity employer. We do not discriminate based on race, color, religious creed, sex, national origin, ancestry, citizenship status, pregnancy, childbirth, physical disability, mental disability, age, military status, protected veteran status, marital status, registered domestic partner or civil union status, gender (including sex stereotyping and gender identity or expression), medical condition (including, but not limited to, cancer related or HIV/AIDS related), genetic information, or sexual orientation in accordance with applicable federal, state and local laws. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Diligent's EEO Policy and Know Your Rights. We are committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, you may contact us at recruitment@diligent.com.
To all recruitment agencies: Diligent does not accept unsolicited agency resumes. Please do not forward resumes to our jobs alias, Diligent employees or any other organization location. Diligent is not responsible for any fees related to unsolicited resumes.
Ready to apply?
Apply to Diligent Corporation
Machine Learning Engineer II // Senior Machine Learning Engineer
Share this job
At Signifyd, we help merchants confidently grow their businesses by building trusted relationships with their customers. Our advanced technology, combined with a team genuinely invested in our clients’ success, creates frictionless shopping experiences, approving more good orders, protecting revenue, and keeping customers happy.
Trusted by thousands of leading merchants across more than 100 countries, we securely process billions of transactions each year. Our people are the heart of everything we do, driving our mission forward with commitment, empathy, and creativity. Join us on our mission to empower fearless commerce by helping online retailers provide superior customer experiences and eliminate fraud. Learn about our company values here!
Signifyd’s Machine Learning team builds production ML models and risk management tools that are the core of Signifyd's product. These models are an integral part of all our products.
We help businesses of all sizes minimize their fraud exposure and grow their sales. We improve the e-commerce shopping experience for everyone by reducing the number of false positive declines of good buyers and by making fraud less profitable for criminals.
The team has end-to-end ownership of our decision-making engine, from research and development to online performance and risk management.
We value collaboration and team ownership - no one should feel they're solving a hard problem alone.
Together, we help each other develop our skillsets through peer review of experiments and code, group paper study to deepen our ML and stats understanding, and frequent knowledge-sharing through live demos, write-ups, and special cross-team projects.
How you'll have an impact:
- Research emerging fraud patterns in real-time with our Risk Intelligence team
- Improve the important components of the Signifyd Commerce Protection Platform
- Communicate complex ideas to a variety of audiences, including executives
- Build production machine learning models that identify fraud
- Write production and offline code in python, PySpark
- Work with distributed data pipelines
- Collaborate with engineering teams to strengthen our machine-learning pipeline
Past experience you'll need:
- A degree in computer science or a comparable analytical field
- 3+ years of post-undergrad work experience required
- Strong verbal and written communication skills
- Strong machine learning and statistical background, and a track record of being able to deliver under pressure.
- Write code and review others' in a shared codebase in Python
- Practical SQL knowledge
- Design experiments and collect data
- Familiarity with the Linux command line
Bonus points if you have:
- Previous work in fraud, payments, or e-commerce
- Data analysis in a distributed environment
- Passion for writing well-tested production-grade code
- A Master's Degree or PhD
Benefits:
- Stock Options
- Annual Performance Bonus or Commissions
- Pension matched up to 3%
- ‘Day one’ access to great health insurance scheme
- Paid team social events
- Mental wellbeing resources
- Dedicated learning budget through Learnerbly
Ready to apply?
Apply to Signifyd
Director, Software Engineering
Share this job
Position Overview
Lead the Future of GRC (Governance Risk & Compliance) Technology!
We’re looking for a strategic technical leader with a track record of building great teams, delivering scalable systems, and transforming engineering organizations. If you thrive in complex problem spaces, love building world-class platforms, and want to play a key role in our AI-native transformation, we want to talk to you.
Key Responsibilities
- Build high-performing, AI-enabled teams that deliver real value fast—especially within our Budapest Global Center for Product Innovation
- Lead engineering for one or more of our strategic products, driving design, delivery, and quality across multiple agile teams
- Architect for the future: Define technical strategy, system architecture, and integration of AI/ML-powered components
- Champion engineering best practices—from design and security reviews to continuous delivery and reliability
- Infuse AI into the product: Identify, prioritize, and implement opportunities for machine learning, NLP, and intelligent automation
- Be a cultural builder: Create a space for innovation, ownership, and continuous learning
- Partner across disciplines—Product, Design, Data Science—to deliver high-impact outcomes
- Ensure ethical, secure, and privacy-conscious implementation of AI and data capabilities
- Inspire through leadership: Mobilize the team in moments that matter, from solving critical customer issues to celebrating key wins
- Contribute to company-wide strategy and help shape the future of Diligent's global technology organization
Requiered Experiences/Skills
- 7+ years of engineering leadership experience, including multiple years building SaaS products
- A strong track record of scaling products and teams, especially in fast-moving, innovative companies
- Passion for mentoring engineering leaders and building inclusive, high-performance cultures
- Deep familiarity with modern cloud-native architecture
- Experience with AI/ML platforms and integrating AI into customer-facing products
- Understanding of AI ethics, data governance, and responsible AI principles
- Proven success in leading agile delivery at scale and fostering DevOps/SRE mindsets
- Sharp business instincts, with the ability to collaborate cross-functionally and drive product strategy
- Excellent communication and influence skills at executive and organizational levels
#LI-Hybrid
About Us
Diligent is the AI leader in governance, risk and compliance (GRC) SaaS solutions, helping more than 1 million users and 700,000 board members to clarify risk and elevate governance. The Diligent One Platform gives practitioners, the C-Suite and the board a consolidated view of their entire GRC practice so they can more effectively manage risk, build greater resilience and make better decisions, faster.
Learn more at diligent.com or follow us on LinkedIn and Facebook
What Diligent Offers You
- Creativity is ingrained in our culture. We are innovative collaborators by nature. We thrive in exploring how things can be differently both in our internal processes and to help our clients
- We care about our people. Diligent offers a flexible work environment, global days of service, comprehensive health benefits, meeting free days, generous time off policy and wellness programs to name a few
- We have teams all over the world. We may be headquartered in New York City, but we have office hubs in Washington D.C., Vancouver, London, Galway, Budapest, Munich, Bengaluru, Singapore, and Sydney.
- Diversity is important to us. Growing, maintaining and promoting a diverse team is a top priority for us. We foster and encourage diversity through our Employee Resource Groups and provide access to resources and education to support the education of our team, facilitate dialogue, and foster understanding.
Diligent created the modern governance movement. Our world-changing idea is to empower leaders with the technology, insights and connections they need to drive greater impact and accountability – to lead with purpose. Our employees are passionate, smart, and creative people who not only want to help build the software company of the future, but who want to make the world a more sustainable, equitable and better place.
Headquartered in New York, Diligent has offices in Washington D.C., London, Galway, Budapest, Vancouver, Bengaluru, Munich, Singapore and Sydney. To foster strong collaboration and connection, this role will follow a hybrid work model. If you are within a commuting distance to one of our Diligent office locations, you will be expected to work onsite at least 50% of the time. We believe that in-person engagement helps drive innovation, teamwork, and a strong sense of community.
We are a drug free workplace. Diligent is proud to be an equal opportunity employer. We do not discriminate based on race, color, religious creed, sex, national origin, ancestry, citizenship status, pregnancy, childbirth, physical disability, mental disability, age, military status, protected veteran status, marital status, registered domestic partner or civil union status, gender (including sex stereotyping and gender identity or expression), medical condition (including, but not limited to, cancer related or HIV/AIDS related), genetic information, or sexual orientation in accordance with applicable federal, state and local laws. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Diligent's EEO Policy and Know Your Rights. We are committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, you may contact us at recruitment@diligent.com.
To all recruitment agencies: Diligent does not accept unsolicited agency resumes. Please do not forward resumes to our jobs alias, Diligent employees or any other organization location. Diligent is not responsible for any fees related to unsolicited resumes.
Ready to apply?
Apply to Diligent Corporation
Manager, Software Engineering
Share this job
Position overview:
We’re looking for a Software Engineering Manager who blends technical depth with product intuition — someone who doesn’t just deliver features, but cares deeply about how they work, feel, and perform.
You’ll lead a cross-functional engineering team modernizing one of the world’s most trusted governance, risk, and compliance platforms as we move forward to the direction of the AI native software development.
This is not a pure “people manager” or “ticket shepherd” role. We’re looking for someone who:
- Enjoys getting close to the product, collaborating daily with Product and UX to craft exceptional user experiences.
- Brings a QA mindset — cares about stability, edge cases, and how things actually behave in users’ hands.
- Thrives in uncertainty and isn’t afraid to explore new paths or challenge assumptions.
- Wants to lead by example and elevate the team — technically, culturally, and strategically.
Key Responsibilities
- Lead and grow a cross-functional engineering team, combining developers and QA engineers into a high-performing unit with shared accountability for quality and delivery.
- Collaborate closely with Product Managers and Designers to shape features from ideation to delivery — focusing on usability, performance, and customer value.
- Raise the engineering bar through thoughtful code reviews, mentoring, and continuous improvement practices.
- Drive technical direction: influence architecture, cloud strategy, observability, and test automation approaches.
- Cultivate quality ownership: partner with QA to evolve testing frameworks, increase automation coverage, and make quality everyone’s responsibility.
- Leverage AI and automation to remove friction from development, testing, and operations — identifying opportunities for intelligent tooling and integration.
- Champion responsible AI practices, ensuring transparency, explainability, and control in every AI-assisted capability.
- Foster a culture of curiosity and experimentation — encouraging engineers to prototype, measure, and iterate rapidly.
- Contribute hands-on when needed (code reviews, architecture discussions, proof-of-concepts) while empowering your team to own their solutions.
What You’ll Bring
- 7+ years of professional software engineering experience, including 3+ years in a people management role.
- A solid technical foundation — comfortable discussing system design, code quality, and architectural trade-offs.
- A product-focused mindset — you think in terms of user impact and aren’t satisfied until the experience feels right.
- Strong experience leading teams in agile environments, balancing delivery speed with technical quality.
- Experience with modern development practices: CI/CD, trunk-based development, infrastructure-as-code, etc.
- Understanding of QA practices and automation, and an appreciation for testing as a first-class citizen in software development.
- Familiarity with AI/ML concepts and curiosity about practical applications (you don’t need to be a data scientist, but you should know what’s possible).
- Excellent communication skills — you can translate between product, design, and engineering worlds effortlessly.
Preferred Experience
- Hands-on background in .NET, Angular, Python or Node.js
- Experience with Cloud (AWS/Azure/GCP), CICD, DevOps, SQL/NoSQL databases
- Use of AI-assisted developer tools such as Copilot, CodeWhisperer, or automated code review systems.
- Track record of shipping high-quality, user-centered products.
- A natural drive to push boundaries, learn fast, and make others better around you.
#LI-Hybrid
About Us
Diligent is the AI leader in governance, risk and compliance (GRC) SaaS solutions, helping more than 1 million users and 700,000 board members to clarify risk and elevate governance. The Diligent One Platform gives practitioners, the C-Suite and the board a consolidated view of their entire GRC practice so they can more effectively manage risk, build greater resilience and make better decisions, faster.
Learn more at diligent.com or follow us on LinkedIn and Facebook
What Diligent Offers You
- Creativity is ingrained in our culture. We are innovative collaborators by nature. We thrive in exploring how things can be differently both in our internal processes and to help our clients
- We care about our people. Diligent offers a flexible work environment, global days of service, comprehensive health benefits, meeting free days, generous time off policy and wellness programs to name a few
- We have teams all over the world. We may be headquartered in New York City, but we have office hubs in Washington D.C., Vancouver, London, Galway, Budapest, Munich, Bengaluru, Singapore, and Sydney.
- Diversity is important to us. Growing, maintaining and promoting a diverse team is a top priority for us. We foster and encourage diversity through our Employee Resource Groups and provide access to resources and education to support the education of our team, facilitate dialogue, and foster understanding.
Diligent created the modern governance movement. Our world-changing idea is to empower leaders with the technology, insights and connections they need to drive greater impact and accountability – to lead with purpose. Our employees are passionate, smart, and creative people who not only want to help build the software company of the future, but who want to make the world a more sustainable, equitable and better place.
Headquartered in New York, Diligent has offices in Washington D.C., London, Galway, Budapest, Vancouver, Bengaluru, Munich, Singapore and Sydney. To foster strong collaboration and connection, this role will follow a hybrid work model. If you are within a commuting distance to one of our Diligent office locations, you will be expected to work onsite at least 50% of the time. We believe that in-person engagement helps drive innovation, teamwork, and a strong sense of community.
We are a drug free workplace. Diligent is proud to be an equal opportunity employer. We do not discriminate based on race, color, religious creed, sex, national origin, ancestry, citizenship status, pregnancy, childbirth, physical disability, mental disability, age, military status, protected veteran status, marital status, registered domestic partner or civil union status, gender (including sex stereotyping and gender identity or expression), medical condition (including, but not limited to, cancer related or HIV/AIDS related), genetic information, or sexual orientation in accordance with applicable federal, state and local laws. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Diligent's EEO Policy and Know Your Rights. We are committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, you may contact us at recruitment@diligent.com.
To all recruitment agencies: Diligent does not accept unsolicited agency resumes. Please do not forward resumes to our jobs alias, Diligent employees or any other organization location. Diligent is not responsible for any fees related to unsolicited resumes.
Ready to apply?
Apply to Diligent Corporation
Senior Applied Scientist
Share this job
Here’s a summary of the role:
You’ll use your applied machine learning and generative AI skills to design and ship LLM powered product experiences that solve real problems for real users. You turn messy documents and complex language into smart assistants, agentic solutions, and search experiences that feel fast, reliable, and trustworthy.
In this role you work end-to-end: framing problems, shaping prompts and workflows, orchestrating tools and retrieval, and partnering with engineers and product managers to bring modern AI into production. If you enjoy building with large language models and care deeply about evaluation, safety, and impact, you’ll feel at home here.
Here’s a breakdown of what you’ll do (not all of it, just the important stuff):
- Design, prototype, and refine LLM based features over large document sets.
- Orchestrate multistep, agentic workflows and tool calling (including MCP servers and other integrations) so LLMs can take meaningful actions, not just generate text.
- Define evaluation frameworks, experiments, and metrics so you can measure model quality, relevance, and safety with confidence.
- Use AWS services (i.e. AWS Bedrock) to deliver reliable, secure, and scalable AI capabilities.
- Work closely with domain experts, PMs and software engineers to turn prototypes into reliable, production ready services.
- Handle complex, domain specific text (e.g. legal, financial, or regulatory content) with a strong focus on accuracy, robustness, and privacy.
- Communicate your findings clearly, share best practices, and stay up to date with the latest ML and AI research that can improve your solutions.
These are the essentials you’ll need to get an interview:
- Hands-on experience building LLM powered applications or features (for example RAG systems, chatbots, assistants, agentic solutions or document centric workflows) — not just using chat interfaces.
- Strong Python skills and everyday comfort with the modern data / AI ecosystem (e.g. pandas, NumPy, basic ML libraries, HTTP APIs, and SDKs for cloud AI services).
- Practical experience with LLM powered solution design, evaluation, and iteration: you know how to test, compare approaches, and choose the one that works best with real data.
- Familiarity with at least one cloud platform (ideally AWS) and building or contributing to services or pipelines that run in production.
- A degree in Computer Science, Data/Applied Science, Mathematics, Statistics, or a related technical field, or equivalent practical experience.
- Clear communication skills, collaborative mindset, and a genuine interest in learning, sharing knowledge, and iterating quickly based on feedback.
It would be great if you had these to, but we’ll support you if you don’t:
- Experience designing and implementing agentic workflows (multistep reasoning, tool calling, planners) and/or building MCP servers or similar tool integrations.
- Hands-on experience with AWS Bedrock or comparable platforms (model selection, configuration, guardrails, evaluation, and cost/performance trade-offs).
- Experience with semantic search, vector databases, and information retrieval techniques in production systems.
- Familiarity with observability and evaluation for LLM applications (e.g. logging, feedback loops, offline and online evaluation, safety checks).
- Experience working with complex or regulated content such as legal, risk, compliance, financial, or governance documents.
#LI-Hybrid
About Us
Diligent is the AI leader in governance, risk and compliance (GRC) SaaS solutions, helping more than 1 million users and 700,000 board members to clarify risk and elevate governance. The Diligent One Platform gives practitioners, the C-Suite and the board a consolidated view of their entire GRC practice so they can more effectively manage risk, build greater resilience and make better decisions, faster.
Learn more at diligent.com or follow us on LinkedIn and Facebook
What Diligent Offers You
- Creativity is ingrained in our culture. We are innovative collaborators by nature. We thrive in exploring how things can be differently both in our internal processes and to help our clients
- We care about our people. Diligent offers a flexible work environment, global days of service, comprehensive health benefits, meeting free days, generous time off policy and wellness programs to name a few
- We have teams all over the world. We may be headquartered in New York City, but we have office hubs in Washington D.C., Vancouver, London, Galway, Budapest, Munich, Bengaluru, Singapore, and Sydney.
- Diversity is important to us. Growing, maintaining and promoting a diverse team is a top priority for us. We foster and encourage diversity through our Employee Resource Groups and provide access to resources and education to support the education of our team, facilitate dialogue, and foster understanding.
Diligent created the modern governance movement. Our world-changing idea is to empower leaders with the technology, insights and connections they need to drive greater impact and accountability – to lead with purpose. Our employees are passionate, smart, and creative people who not only want to help build the software company of the future, but who want to make the world a more sustainable, equitable and better place.
Headquartered in New York, Diligent has offices in Washington D.C., London, Galway, Budapest, Vancouver, Bengaluru, Munich, Singapore and Sydney. To foster strong collaboration and connection, this role will follow a hybrid work model. If you are within a commuting distance to one of our Diligent office locations, you will be expected to work onsite at least 50% of the time. We believe that in-person engagement helps drive innovation, teamwork, and a strong sense of community.
We are a drug free workplace. Diligent is proud to be an equal opportunity employer. We do not discriminate based on race, color, religious creed, sex, national origin, ancestry, citizenship status, pregnancy, childbirth, physical disability, mental disability, age, military status, protected veteran status, marital status, registered domestic partner or civil union status, gender (including sex stereotyping and gender identity or expression), medical condition (including, but not limited to, cancer related or HIV/AIDS related), genetic information, or sexual orientation in accordance with applicable federal, state and local laws. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Diligent's EEO Policy and Know Your Rights. We are committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, you may contact us at recruitment@diligent.com.
To all recruitment agencies: Diligent does not accept unsolicited agency resumes. Please do not forward resumes to our jobs alias, Diligent employees or any other organization location. Diligent is not responsible for any fees related to unsolicited resumes.
Ready to apply?
Apply to Diligent Corporation
About Us
At HSP Group, we're pioneering a new niche within the fast-growing industry of global expansion management. As a Stage B startup, we focus on delivering value through relentless innovation, execution, and customer delight. As part of a small but highly experienced and dynamic team, you will play a critical role in our company's success.
About Gateway HR
Gateway HR is our HRI
S platform designed specifically for global expansion management. It offers deep integration with Gateway GXM — our flagship global entity management platform — enabling capabilities like automatic payslip generation, intelligent contract management, and seamless cross-border compliance.
Our platform ecosystem already includes AI-powered document recognition and classification in production, event-driven serverless architecture on Azure, and a growing suite of integrated tools spanning HR, entity management, and compliance.
Job Description
This is a remote role
We're looking for a Lead Backend Engineer to own the technical direction of Gateway HR and drive its deep integration with GXM. You'll combine hands-on platform development with technical leadership of external development teams — evolving the architecture, building innovative features, and representing HSP's engineering standards across the codebase.
This is not a pure management role. You'll be writing code, reviewing PRs, challenging architectural decisions, and shipping features — while also setting the bar for quality and engineering practices.
The Team
You'll join a small, distributed engineering organization. Day-to-day, you'll work closely with the GXM backend team, an external development partner, and the product team. You report to the Director of Engineering.
In your first 90 days, expect to: get hands-on with both the Gateway HR and GXM codebases, establish your code review cadence with the external team, ship your first meaningful feature and start shaping the integration roadmap.
Responsibilities
Architecture & Development
- Evolve the Gateway HR architecture for scale, reliability, and deeper integration with GXM
- Design and build backend systems for automated payroll processing, compliance monitoring, and intelligent document handling
- Extend AI capabilities already in production (document recognition, classification) to new HR workflows
- Design APIs and event-driven workflows using Azure Service Bus for complex, multi-tenant operations
- Work across both MongoDB and PostgreSQL — our ecosystem uses both, and you'll need fluency in each
Engineering Excellence & External Team Management
- Lead and manage external development teams — enforce standards, challenge estimates, catch quality gaps
- Conduct rigorous code reviews and establish testing strategies (unit, integration, end-to-end)
- Build CI/CD pipelines using GitHub Actions for rapid, safe deployment
- Implement observability and monitoring for distributed HR workflows
- Champion code quality through documentation, mentoring, and leading by example
Leadership & Collaboration
- Mentor backend and full-stack developers — both internal and external
- Represent HSP's engineering interests when working with external development partners
- Collaborate with the GXM team on shared infrastructure, integration patterns, and architectural decisions
- Work with product to translate HRIS vision into technical reality
- Implement feature flag strategies for safe rollout of new capabilities
Qualifications
Required
- 7+ years backend development, 3+ years in technical leadership
- Experience in a regulated or compliance-heavy industry — finance, healthcare, HR/payroll, or large-scale e-commerce — where data security, audit trails, and regulatory requirements are non-negotiable
- TypeScript/Node.js — maintainable, production-ready code
- Azure serverless — Functions, Service Bus, API Management
- PostgreSQL with ORM experience (Sequelize or similar)
- MongoDB with advanced data modeling
- Experience managing external development teams — code reviews, quality enforcement, architectural guidance
- Event-driven architecture and distributed systems design
- Terraform for infrastructure as code
- GitHub Actions for CI/CD
- Track record of establishing engineering practices and raising quality standards
Preferred
- Background in HR technology, payroll platforms, or global workforce management —understanding multi-country employment, compliance, and employee lifecycle challenges
- Cerbos or similar policy-based authorization engines
- WorkOS or similar identity/authentication platforms
- Novu or similar notification infrastructure
- Python for AI/ML integration, data analytics, or workflow scripting
- Terragrunt for advanced IaC patterns
- System migration and refactoring experience — evolving legacy systems while maintaining uptime
- Multi-tenant SaaS architecture and global scalability patterns
Why Join Us?
- Own the technical direction of a platform deeply integrated with our flagship GXM product
- Lead both internal and external teams — a true engineering leadership role, not just coding
- Real AI in production — not buzzwords, but working document recognition and classification you'll extend
- Direct impact on product direction, architecture, and engineering culture
- Modern stack — Azure serverless, TypeScript, event-driven, infrastructure as code
- Remote-first culture with a small, experienced team where your leadership directly shapes the product
- Unique market position — deep integration between HR and global expansion management
If you’re a driven individual who wants to make your mark in the heart of the innovation economy, we’d love to meet you. Join our #HSPGlobalSolutionTeam and help us power the next wave of global growth.
Ready to apply?
Apply to HSP GroupAbout Us
At HSP Group, we're pioneering a new niche within the fast-growing industry of global expansion management. As a Stage B startup, we focus on delivering value through relentless innovation, execution, and customer delight. As part of a small but highly experienced and dynamic team, you will play a critical role in our company's success.
About Gateway HR
Gateway HR is our HRIS platform designed specifically for global expansion management. It offers deep integration with Gateway GXM — our flagship global entity management platform — enabling capabilities like automatic payslip generation, intelligent contract management, and seamless cross-border compliance.
Our platform ecosystem already includes AI-powered document recognition and classification in production, event-driven serverless architecture on Azure, and a growing suite of integrated tools spanning HR, entity management, and compliance.
Job Description
This is a remote role
We're looking for a Lead Backend Engineer to own the technical direction of Gateway HR and drive its deep integration with GXM. You'll combine hands-on platform development with technical leadership of external development teams — evolving the architecture, building innovative features, and representing HSP's engineering standards across the codebase.
This is not a pure management role. You'll be writing code, reviewing PRs, challenging architectural decisions, and shipping features — while also setting the bar for quality and engineering practices.
The Team
You'll join a small, distributed engineering organization. Day-to-day, you'll work closely with the GXM backend team, an external development partner, and the product team. You report to the Director of Engineering.
In your first 90 days, expect to: get hands-on with both the Gateway HR and GXM codebases, establish your code review cadence with the external team, ship your first meaningful feature and start shaping the integration roadmap.
Responsibilities
Architecture & Development
- Evolve the Gateway HR architecture for scale, reliability, and deeper integration with GXM
- Design and build backend systems for automated payroll processing, compliance monitoring, and intelligent document handling
- Extend AI capabilities already in production (document recognition, classification) to new HR workflows
- Design APIs and event-driven workflows using Azure Service Bus for complex, multi-tenant operations
- Work across both MongoDB and PostgreSQL — our ecosystem uses both, and you'll need fluency in each
Engineering Excellence & External Team Management
- Lead and manage external development teams — enforce standards, challenge estimates, catch quality gaps
- Conduct rigorous code reviews and establish testing strategies (unit, integration, end-to-end)
- Build CI/CD pipelines using GitHub Actions for rapid, safe deployment
- Implement observability and monitoring for distributed HR workflows
- Champion code quality through documentation, mentoring, and leading by example
Leadership & Collaboration
- Mentor backend and full-stack developers — both internal and external
- Represent HSP's engineering interests when working with external development partners
- Collaborate with the GXM team on shared infrastructure, integration patterns, and architectural decisions
- Work with product to translate HRIS vision into technical reality
- Implement feature flag strategies for safe rollout of new capabilities
Qualifications
Required
- 7+ years backend development, 3+ years in technical leadership
- Experience in a regulated or compliance-heavy industry — finance, healthcare, HR/payroll, or large-scale e-commerce — where data security, audit trails, and regulatory requirements are non-negotiable
- TypeScript/Node.js — maintainable, production-ready code
- Azure serverless — Functions, Service Bus, API Management
- PostgreSQL with ORM experience (Sequelize or similar)
- MongoDB with advanced data modeling
- Experience managing external development teams — code reviews, quality enforcement, architectural guidance
- Event-driven architecture and distributed systems design
- Terraform for infrastructure as code
- GitHub Actions for CI/CD
- Track record of establishing engineering practices and raising quality standards
Preferred
- Background in HR technology, payroll platforms, or global workforce management —understanding multi-country employment, compliance, and employee lifecycle challenges
- Cerbos or similar policy-based authorization engines
- WorkOS or similar identity/authentication platforms
- Novu or similar notification infrastructure
- Python for AI/ML integration, data analytics, or workflow scripting
- Terragrunt for advanced IaC patterns
- System migration and refactoring experience — evolving legacy systems while maintaining uptime
- Multi-tenant SaaS architecture and global scalability patterns
Why Join Us?
- Own the technical direction of a platform deeply integrated with our flagship GXM product
- Lead both internal and external teams — a true engineering leadership role, not just coding
- Real AI in production — not buzzwords, but working document recognition and classification you'll extend
- Direct impact on product direction, architecture, and engineering culture
- Modern stack — Azure serverless, TypeScript, event-driven, infrastructure as code
- Remote-first culture with a small, experienced team where your leadership directly shapes the product
- Unique market position — deep integration between HR and global expansion management
If you’re a driven individual who wants to make your mark in the heart of the innovation economy, we’d love to meet you. Join our #HSPGlobalSolutionTeam and help us power the next wave of global growth.
Ready to apply?
Apply to HSP GroupAbout Us
At HSP Group, we're pioneering a new niche within the fast-growing industry of global expansion management. As a Stage B startup, we focus on delivering value through relentless innovation, execution, and customer delight. As part of a small but highly experienced and dynamic team, you will play a critical role in our company's success.
About Gateway HR
Gateway HR is our HRIS platform designed specifically for global expansion management. It offers deep integration with Gateway GXM — our flagship global entity management platform — enabling capabilities like automatic payslip generation, intelligent contract management, and seamless cross-border compliance.
Our platform ecosystem already includes AI-powered document recognition and classification in production, event-driven serverless architecture on Azure, and a growing suite of integrated tools spanning HR, entity management, and compliance.
Job Description
This is a remote role
We're looking for a Lead Backend Engineer to own the technical direction of Gateway HR and drive its deep integration with GXM. You'll combine hands-on platform development with technical leadership of external development teams — evolving the architecture, building innovative features, and representing HSP's engineering standards across the codebase.
This is not a pure management role. You'll be writing code, reviewing PRs, challenging architectural decisions, and shipping features — while also setting the bar for quality and engineering practices.
The Team
You'll join a small, distributed engineering organization. Day-to-day, you'll work closely with the GXM backend team, an external development partner, and the product team. You report to the Director of Engineering.
In your first 90 days, expect to: get hands-on with both the Gateway HR and GXM codebases, establish your code review cadence with the external team, ship your first meaningful feature and start shaping the integration roadmap.
Responsibilities:
Architecture & Development
- Evolve the Gateway HR architecture for scale, reliability, and deeper integration with GXM
- Design and build backend systems for automated payroll processing, compliance monitoring, and intelligent document handling
- Extend AI capabilities already in production (document recognition, classification) to new HR workflows
- Design APIs and event-driven workflows using Azure Service Bus for complex, multi-tenant operations
- Work across both MongoDB and PostgreSQL — our ecosystem uses both, and you'll need fluency in each
Engineering Excellence & External Team Management
- Lead and manage external development teams — enforce standards, challenge estimates, catch quality gaps
- Conduct rigorous code reviews and establish testing strategies (unit, integration, end-to-end)
- Build CI/CD pipelines using GitHub Actions for rapid, safe deployment
- Implement observability and monitoring for distributed HR workflows
- Champion code quality through documentation, mentoring, and leading by example
Leadership & Collaboration
- Mentor backend and full-stack developers — both internal and external
- Represent HSP's engineering interests when working with external development partners
- Collaborate with the GXM team on shared infrastructure, integration patterns, and architectural decisions
- Work with product to translate HRIS vision into technical reality
- Implement feature flag strategies for safe rollout of new capabilities
Qualifications:
Required
- 7+ years backend development, 3+ years in technical leadership
- Experience in a regulated or compliance-heavy industry — finance, healthcare, HR/payroll, or large-scale e-commerce — where data security, audit trails, and regulatory requirements are non-negotiable
- TypeScript/Node.js — maintainable, production-ready code
- Azure serverless — Functions, Service Bus, API Management
- PostgreSQL with ORM experience (Sequelize or similar)
- MongoDB with advanced data modeling
- Experience managing external development teams — code reviews, quality enforcement, architectural guidance
- Event-driven architecture and distributed systems design
- Terraform for infrastructure as code
- GitHub Actions for CI/CD
- Track record of establishing engineering practices and raising quality standards
Preferred:
- Background in HR technology, payroll platforms, or global workforce management —understanding multi-country employment, compliance, and employee lifecycle challenges
- Cerbos or similar policy-based authorization engines
- WorkOS or similar identity/authentication platforms
- Novu or similar notification infrastructure
- Python for AI/ML integration, data analytics, or workflow scripting
- Terragrunt for advanced IaC patterns
- System migration and refactoring experience — evolving legacy systems while maintaining uptime
- Multi-tenant SaaS architecture and global scalability patterns
Why Join Us?
- Own the technical direction of a platform deeply integrated with our flagship GXM product
- Lead both internal and external teams — a true engineering leadership role, not just coding
- Real AI in production — not buzzwords, but working document recognition and classification you'll extend
- Direct impact on product direction, architecture, and engineering culture
- Modern stack — Azure serverless, TypeScript, event-driven, infrastructure as code
- Remote-first culture with a small, experienced team where your leadership directly shapes the product
- Unique market position — deep integration between HR and global expansion management
If you’re a driven individual who wants to make your mark in the heart of the innovation economy, we’d love to meet you. Join our #HSPGlobalSolutionTeam and help us power the next wave of global growth.
Ready to apply?
Apply to HSP Group
Senior Software Engineer (AI, Python)
Share this job
Position Overview:
We are seeking a talented and driven Senior Software Engineer in AI to join our growing team at Diligent. Reporting to Applied Science Manager, this exciting role involves bridging the gap between Applied Scientists and Product teams - developing, deploying, and scaling ML and LLM-based systems as part of Diligent’s AI platform services to accelerate AI adoption across Diligent's diverse product suite.
Diligent is a global leader in modern governance, delivering innovative SaaS solutions that address governance, risk, and compliance (GRC) needs. Our mission is to empower leaders with cutting-edge technology, actionable insights, and vital connections to drive impactful decisions and lead with purpose.
Key Responsibilities:
- Design, develop, deploy, monitor, scale, and troubleshoot ML and LLM-based systems that power services across our platform.
- Build automated AI testing and evaluation frameworks.
- Collaborate with Applied Scientists and Software Engineers to implement and productize AI-based capabilities.
- Shape and develop the teams AI platform infrastructure utilizing already established patterns at the organization.
- Design and develop AI libraries and frameworks to help accelerate value delivery across AI platform services.
- Work on projects involving sensitive customer content used for Diligent customers’ board communications, which requires stringent privacy and security measures.
- Document and communicate your approach, progress, and results to the broader team and to other development teams.
Required experience/skills:
- 5+ years of relevant experience.
- Strong ability to develop highly readable and well-tested code that adheres to SOLID principles.
- Proven proficiency in Python and TypeScript.
- Experience with infrastructure-as-code practices preferably in AWS (or experience with other major cloud providers).
- Ability to contribute to a high-performing agile team, and to product innovation.
- Keen to improve processes and share knowledge across the team.
Nice to have:
- Hands-on AWS CDK experience
- Hands-on experience with LLMs including prompt engineering, fine-tuning, model evaluation, RAG, agentic solutions or MCP servers.
- Experience with full AI-based solution lifecycle.
#LI-Hybrid
About Us
Diligent is the AI leader in governance, risk and compliance (GRC) SaaS solutions, helping more than 1 million users and 700,000 board members to clarify risk and elevate governance. The Diligent One Platform gives practitioners, the C-Suite and the board a consolidated view of their entire GRC practice so they can more effectively manage risk, build greater resilience and make better decisions, faster.
Learn more at diligent.com or follow us on LinkedIn and Facebook
What Diligent Offers You
- Creativity is ingrained in our culture. We are innovative collaborators by nature. We thrive in exploring how things can be differently both in our internal processes and to help our clients
- We care about our people. Diligent offers a flexible work environment, global days of service, comprehensive health benefits, meeting free days, generous time off policy and wellness programs to name a few
- We have teams all over the world. We may be headquartered in New York City, but we have office hubs in Washington D.C., Vancouver, London, Galway, Budapest, Munich, Bengaluru, Singapore, and Sydney.
- Diversity is important to us. Growing, maintaining and promoting a diverse team is a top priority for us. We foster and encourage diversity through our Employee Resource Groups and provide access to resources and education to support the education of our team, facilitate dialogue, and foster understanding.
Diligent created the modern governance movement. Our world-changing idea is to empower leaders with the technology, insights and connections they need to drive greater impact and accountability – to lead with purpose. Our employees are passionate, smart, and creative people who not only want to help build the software company of the future, but who want to make the world a more sustainable, equitable and better place.
Headquartered in New York, Diligent has offices in Washington D.C., London, Galway, Budapest, Vancouver, Bengaluru, Munich, Singapore and Sydney. To foster strong collaboration and connection, this role will follow a hybrid work model. If you are within a commuting distance to one of our Diligent office locations, you will be expected to work onsite at least 50% of the time. We believe that in-person engagement helps drive innovation, teamwork, and a strong sense of community.
We are a drug free workplace. Diligent is proud to be an equal opportunity employer. We do not discriminate based on race, color, religious creed, sex, national origin, ancestry, citizenship status, pregnancy, childbirth, physical disability, mental disability, age, military status, protected veteran status, marital status, registered domestic partner or civil union status, gender (including sex stereotyping and gender identity or expression), medical condition (including, but not limited to, cancer related or HIV/AIDS related), genetic information, or sexual orientation in accordance with applicable federal, state and local laws. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Diligent's EEO Policy and Know Your Rights. We are committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, you may contact us at recruitment@diligent.com.
To all recruitment agencies: Diligent does not accept unsolicited agency resumes. Please do not forward resumes to our jobs alias, Diligent employees or any other organization location. Diligent is not responsible for any fees related to unsolicited resumes.
Ready to apply?
Apply to Diligent Corporation