AI Engineer Jobs in Hungary.
All active AI Engineer roles based in Hungary.
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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
You will work closely with product, design, and data science teams to develop and enhance applications by managing AI intent within a spec-driven development framework. As a technical expert, you will help orchestrate AI agents to generate production-ready code and automated tests, utilizing multi-LLM workflows for code verification and quality assurance. You will provide recommendations on best practices for AI-native workflows while ensuring code maintainability, security, and performance. A solid understanding of the .NET stack and the entire SDLC is required to ensure efficient, spec-led project completion.
What you will do:
- Develop solutions that add value and efficiency across systems while minimizing technical debt.
- Expertly use AI agents and GitHub Copilot to implement .NET solutions from high-level Specs.
- Collaborate closely with engineers, product owners, and stakeholders to meet product objectives and refine Specs.
- Maintain a "Test First" mentality by managing the intent of AI-generated code so that it meets the functional, security, and performance requirements of the product.
- Stay updated on technology trends and product roadmaps to guide development.
- Contribute to cross-functional business processes.
- Promote best practices, cross-team collaboration, and process continuity.
- Mentor less experienced engineers as they grow in their skills.
- Foster a collaborative culture based on trust and respect.
What you have:
- Proficiency in Spec-Driven Development (SDD) and AI-native coding in VS Code.
- Expertise in GitHub Copilot Agent Mode and AI-driven debugging.
- .NET 6+ with C#
- SQL
- Git
- Unit Testing
- RESTful web services
- Messaging & queuing
- Front-end framework such as React
Preferred Experience:
- MySQL
- Postgres
- Kubernetes
Education and/or Experience:
- Bachelor's degree (B. S.) in Computer related subject area or related business field and six (6) or more year’s experience in Information Technology and solution delivery, or equivalent combination of education and experience in similar fields is required.
What we offer:
- Friendly and welcoming environment focused on people, learning & development
- 25 vacation days and extra vacation days after age and after children
- Cafeteria benefit via SZEP card
- Medicover private health insurance for employees and their family members
- 10% of your time to work on anything you like, reading groups, tech talks
- Flexible working and working from home
- An extensive people development program, including access to Udemy
Please note that this position is only available to candidates who are currently residing in Bulgaria. Unfortunately, we are unable to consider applicants outside of the country.
Ready to apply?
Apply to Cision
Developer Relations Engineer - Kimchi
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Why Cast AI?
Cast AI is an automation platform that operates cloud-native and AI infrastructure at scale. By embedding autonomous decision-making directly into Kubernetes and cloud environments, Cast AI continuously optimizes performance, reliability, and efficiency in production.
The old way doesn't work. As Kubernetes and AI environments grow, manual decisions don’t. Cast AI replaces tickets, alerts, and manual tuning with continuous automation that adapts infrastructure as conditions change. Efficiency and cost savings follow naturally from that automation.
Over 2,100 companies already rely on Cast AI, including Akamai, BMW, Cisco, FICO, HuggingFace, NielsenIQ, Swisscom, and TGS.
Global team, diverse perspectives
We're headquartered in Miami, but our impact is international. We take a global and intentional approach to diversity. Today, Cast AI operates across 34 countries spanning Europe, North America, Latin America, and APAC, bringing a wide range of perspectives into how we build and lead.
Unicorn momentum
In January 2026, we achieved unicorn status with a strategic investment from Pacific Alliance Ventures, the corporate venture arm of Shinsegae Group (a $50+ billion Korean conglomerate). Our valuation now exceeds $1 billion, and we're just getting started.
Join us as we build the future of autonomous infrastructure.
Kimchi is an open-source AI inference platform built for teams running serious agentic coding workloads. We're building the harness, the routing, and the infrastructure layer that makes running your own AI coding stack possible - and affordable. We're early, moving fast, and the developer community is central to how we grow.
Responsibilities:
- Build things publicly with Kimchi - tutorials, demos, integrations - that show developers how to solve real problems. Think live build logs, OSS integrations, or benchmarks you'd want to read yourself.
- Be the voice of the the developer community: Discord, GitHub discussions, Reddit, HN - be present where developers are already talking about the problems we solve
- Be the structured feedback loop between dev community and product - synthesize what you're hearing into actionable signals for the product team.
- Write technical content that ranks and spreads: setup guides, benchmark breakdowns, comparison posts, integration walkthroughs
- Speak at conferences, meetups and run workshops - representing Kimchi as a technical peer
- Identify where new users get stuck and advocate hard for fixes
- Help shape Kimchi's voice in the developer community - what we stand for, what we say when there is trending news in the market
Requirements:
- You've built real software and can talk about it credibly - ideally you've used agentic coding tools and have opinions about them
- You're a strong technical writer - you can explain complex things clearly and make them resonate with the developer audience
- You're comfortable being the public face of a technical product: blog posts, talks, live demos, community threads
- Huge plus: You'd have tested and found problems Kimchi solves interesting - before this job posting even existed
- Bonus: you've worked in or around Kubernetes, LLM inference, or developer tooling
What’s in it for you?
- Enjoy a flexible, remote-first global environment.
- Collaborate with a global team of cloud experts and innovators, passionate about pushing the boundaries of Kubernetes technology.
- Equity options.
- Get quick feedback with a fast-paced workflow. Most feature projects are completed in 1 to 4 weeks.
- Spend 10% of your work time on personal projects or self-improvement.
- Learning budget for professional and personal development - including access to international conferences and courses that elevate your skills.
- Team-building budget and company events to connect with your colleagues.
- Equipment budget to ensure you have everything you need.
- Extra days off to help maintain a healthy work-life balance.
Hiring process
- Screening call with Recruiter
- Hiring Manager interview
- 1-2 additional interviews based on the role
- Culture Check interview with an executive
*As part of our standard hiring process, we would like to inform you that a background check may be conducted at the final stage of recruitment through our third-party provider, Checkr.
*Please note that Cast AI does not provide any form of visa sponsorship/work permit.
#LI-Remote
Ready to apply?
Apply to Cast AI
Senior Data Engineer (ADB, Python)
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We are looking for a motivated Senior Data Engineer (ADB, Python) who is willing to dive into the new project with a modern stack. If you’re driven by a curiosity to learn and a desire to produce meaningful results, please apply!
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
Our client is one of the Big Four accounting firms and the world’s largest professional services network. Headquartered in London, they operate in 150+ countries with 460,000+ professionals delivering excellence in audit, tax, consulting, and advisory.
The team you will join designs, develops, and deploys innovative enterprise technology and AI-driven tools to support the delivery of tax services. It is a dynamic group combining expertise in tax, software engineering, change management, and project management, working on initiatives from tool design and deployment to training development and engagement management.
Project Tech Stack
Azure Cloud, Microservices Architecture, .NET 8, ASP.NET Core services, Python, MongoDB, Azure SQL, Angular 18, Kendo, GitHub Enterprise with Copilot, LangGraph, LangChain, RAG Pipelines, Multi-modal LLMs
What You’ll Do
- Define and enforce best practices and coding standards across the project
- Conduct thorough code reviews to ensure adherence to established guidelines and maintain high code quality
- Working both independently and in close collaboration with others in the team
- Communicating clear instructions to team members and helping manage the flow of day-to-day operations
- Communicating with the client regularly
- Design, develop, and maintain robust and scalable Spark applications
- Write clean, maintainable, and efficient code following best practices and coding standards
- Optimize code for performance and scalability, ensuring efficient data handling
- Work closely with cross-functional teams to deliver high-quality software solutions
- Identify and resolve technical issues, ensuring the reliability and performance of applications
- Create and maintain comprehensive documentation for code, processes, and workflows
What You Bring
- 5+ years of hands-on experience in software development
- Extensive experience working with Apache Spark, including platforms such as Databricks and/or Azure Synapse/Fabric
- Proficient in Python, with strong skills in data manipulation using Pandas/Polars and similar
- Solid understanding of columnar data storage formats, particularly Parquet, with practical experience using Delta Tables
- Proven expertise in data processing, analysis, and transformation workflows
- Strong analytical and problem-solving abilities with a detail-oriented mindset
- Practical and pragmatic approach to balancing standardized processes with flexibility to meet project goals effectively
- Excellent organizational skills with the ability to self-manage, prioritize tasks, structure workload, and meet tight deadlines
- Solid understanding of microservices architecture and its implementation in scalable systems
Nice to have
- Experience working with Azure Cloud services (or other major cloud platforms), including a range of SaaS offerings such as Service Bus, Data Lake, Blob Storage, Redis, and more
- Familiarity with FastAPI
- Expertise in containerization and orchestration tools such as Docker and Kubernetes
English level
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
Manager DevOps Engineering (Observability & Developer Experience)
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About the Role
We’re looking for a Lead DevOps Engineer (Observability & Developer Experience) to take ownership of two key areas within our engineering operations. You’ll work closely with the engineering teams responsible for our observability platform and developer tools, helping to ensure our systems are reliable and our developers are empowered with efficient workflows. In this role, you’ll shape the technical direction for monitoring, logging, CI/CD, and automation initiatives across the organization, while staying hands-on with engineering work. You’ll also collaborate with teams across the company to drive continuous improvement and innovation.
What You’ll Do
- Lead and contribute to a team of DevOps/SRE engineers focused on Observability (monitoring, logging, alerting) and Developer Experience (CI/CD pipelines, internal developer tools).
- Help define the roadmap and vision for observability and developer productivity, aligning with business and engineering needs.
- Design, implement, and operate monitoring and logging infrastructure, ensuring robust visibility into system health and performance.
- Build and maintain CI/CD pipelines and automation frameworks that enable fast, safe deployments and improve developer workflows.
- Collaborate with other engineering and product teams to drive cross-functional initiatives and ensure reliability and efficiency are embedded into our services.
- Establish and share best practices for infrastructure management, incident response, and post-mortems.
- Contribute to defining and implementing AI tooling and standards across the company, ensuring developers have access to scalable and secure AI platforms.
What You’ll Bring
- 5+ years of experience in DevOps, SRE, or Infrastructure Engineering, including some experience leading or mentoring other engineers.
- Hands-on expertise in observability practices and tools (e.g., Prometheus, Grafana, ELK stack) and familiarity with SRE principles.
- Experience with CI/CD pipelines and automation tools (e.g., Jenkins, GitLab CI) and Infrastructure as Code practices.
- Knowledge of cloud platforms (AWS and/or GCP) and container orchestration (Kubernetes), and experience building scalable systems.
- Strong collaboration and communication skills, with experience working across teams (development, QA, product).
- Passion for automation, reliability, and developer efficiency, with a mindset of continuous improvement.
Preferred (Not Essential)
- Experience leading DevOps/SRE transformations or implementing reliability engineering practices at scale.
- Previous software engineering experience.
Why Join Us?
This role is perfect for someone who wants to stay hands-on technically while also mentoring and influencing a team. You’ll have a direct impact on the reliability and efficiency of our engineering systems and help shape the way our developers work every day.
Ready to apply?
Apply to Brandwatch
Staff Software Engineer – DevX
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What You’ll Do
- Design and develop internal software tools, services, and frameworks that improve the developer experience (e.g. custom CLI tools, development environment enhancements, test automation frameworks).
- Work with engineering teams to gather requirements and feedback for developer tools, then iterate on solutions to ensure they address real-world needs.
- Improve and maintain our CI/CD pipeline code and infrastructure, ensuring build and deployment processes are efficient, reliable, and scalable.
- Contribute to the architecture of our developer platform by evaluating new technologies and integrating open-source solutions to enhance productivity.
- Mentor and guide other software engineers in using DevX tools and adopting best practices for efficient software delivery.
- Ensure all DevX solutions are well-documented, maintainable, and secure; actively participate in code reviews and design discussions to uphold high standards.
- Partner with engineering teams to define and enforce AI standards within the developer ecosystem, ensuring consistent, scalable, and secure adoption of AI-driven solutions.
Essential Skills & Experience
- 5+ years' experience in Software Engineering or DevOps roles, with a focus on building developer tooling or platforms.
- Programming skills in one or more languages (such as Python, Java, Go, or C#), with the ability to write clean, maintainable code for internal tools and services.
- Experience designing and implementing CI/CD pipelines and build/release processes, including familiarity with tools like Jenkins, GitLab CI, or GitHub Actions.
- Solid understanding of software development best practices (version control, code reviews, automated testing) and experience integrating these into automated workflows.
- Proficiency with containerization and cloud infrastructure (Docker, Kubernetes, AWS/GCP/OCI) to support on-demand development and testing environments.
- Strong problem-solving skills and the ability to quickly learn and adapt to new technologies and frameworks that improve developer productivity.
- Excellent communication skills and a collaborative approach, with experience mentoring engineers or leading technical projects to successful outcomes.
Preferred (Not Essential)
- Contributions to open-source developer tools or active involvement in the developer community.
- Experience with developer experience platforms or tools (e.g. Backstage) is a plus.
Ready to apply?
Apply to Brandwatch
Manager DevOps Engineering (Observability & Developer Experience)
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About the Role
We’re looking for a Lead DevOps Engineer (Observability & Developer Experience) to take ownership of two key areas within our engineering operations. You’ll work closely with the engineering teams responsible for our observability platform and developer tools, helping to ensure our systems are reliable and our developers are empowered with efficient workflows. In this role, you’ll shape the technical direction for monitoring, logging, CI/CD, and automation initiatives across the organization, while staying hands-on with engineering work. You’ll also collaborate with teams across the company to drive continuous improvement and innovation.
What You’ll Do
- Lead and contribute to a team of DevOps/SRE engineers focused on Observability (monitoring, logging, alerting) and Developer Experience (CI/CD pipelines, internal developer tools).
- Help define the roadmap and vision for observability and developer productivity, aligning with business and engineering needs.
- Design, implement, and operate monitoring and logging infrastructure, ensuring robust visibility into system health and performance.
- Build and maintain CI/CD pipelines and automation frameworks that enable fast, safe deployments and improve developer workflows.
- Collaborate with other engineering and product teams to drive cross-functional initiatives and ensure reliability and efficiency are embedded into our services.
- Establish and share best practices for infrastructure management, incident response, and post-mortems.
- Contribute to defining and implementing AI tooling and standards across the company, ensuring developers have access to scalable and secure AI platforms.
What You’ll Bring
- 5+ years of experience in DevOps, SRE, or Infrastructure Engineering, including some experience leading or mentoring other engineers.
- Hands-on expertise in observability practices and tools (e.g., Prometheus, Grafana, ELK stack) and familiarity with SRE principles.
- Experience with CI/CD pipelines and automation tools (e.g., Jenkins, GitLab CI) and Infrastructure as Code practices.
- Knowledge of cloud platforms (AWS and/or GCP) and container orchestration (Kubernetes), and experience building scalable systems.
- Strong collaboration and communication skills, with experience working across teams (development, QA, product).
- Passion for automation, reliability, and developer efficiency, with a mindset of continuous improvement.
Preferred (Not Essential)
- Experience leading DevOps/SRE transformations or implementing reliability engineering practices at scale.
- Previous software engineering experience.
Why Join Us?
This role is perfect for someone who wants to stay hands-on technically while also mentoring and influencing a team. You’ll have a direct impact on the reliability and efficiency of our engineering systems and help shape the way our developers work every day.
Ready to apply?
Apply to Cision
What You’ll Do
- Design and develop internal software tools, services, and frameworks that improve the developer experience (e.g. custom CLI tools, development environment enhancements, test automation frameworks).
- Work with engineering teams to gather requirements and feedback for developer tools, then iterate on solutions to ensure they address real-world needs.
- Improve and maintain our CI/CD pipeline code and infrastructure, ensuring build and deployment processes are efficient, reliable, and scalable.
- Contribute to the architecture of our developer platform by evaluating new technologies and integrating open-source solutions to enhance productivity.
- Mentor and guide other software engineers in using DevX tools and adopting best practices for efficient software delivery.
- Ensure all DevX solutions are well-documented, maintainable, and secure; actively participate in code reviews and design discussions to uphold high standards.
- Partner with engineering teams to define and enforce AI standards within the developer ecosystem, ensuring consistent, scalable, and secure adoption of AI-driven solutions.
Essential Skills & Experience
- 5+ years' experience in Software Engineering or DevOps roles, with a focus on building developer tooling or platforms.
- Programming skills in one or more languages (such as Python, Java, Go, or C#), with the ability to write clean, maintainable code for internal tools and services.
- Experience designing and implementing CI/CD pipelines and build/release processes, including familiarity with tools like Jenkins, GitLab CI, or GitHub Actions.
- Solid understanding of software development best practices (version control, code reviews, automated testing) and experience integrating these into automated workflows.
- Proficiency with containerization and cloud infrastructure (Docker, Kubernetes, AWS/GCP/OCI) to support on-demand development and testing environments.
- Strong problem-solving skills and the ability to quickly learn and adapt to new technologies and frameworks that improve developer productivity.
- Excellent communication skills and a collaborative approach, with experience mentoring engineers or leading technical projects to successful outcomes.
Preferred (Not Essential)
- Contributions to open-source developer tools or active involvement in the developer community.
- Experience with developer experience platforms or tools (e.g. Backstage) is a plus.
Ready to apply?
Apply to Cision
Senior Data Engineer (ADB, Python)
Share this job
We are looking for a motivated Senior Data Engineer (ADB, Python) who is willing to dive into the new project with a modern stack. If you’re driven by a curiosity to learn and a desire to produce meaningful results, please apply!
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
Our client is one of the Big Four accounting firms and the world’s largest professional services network. Headquartered in London, they operate in 150+ countries with 460,000+ professionals delivering excellence in audit, tax, consulting, and advisory.
The team you will join designs, develops, and deploys innovative enterprise technology and AI-driven tools to support the delivery of tax services. It is a dynamic group combining expertise in tax, software engineering, change management, and project management, working on initiatives from tool design and deployment to training development and engagement management.
Project Tech Stack
Azure Cloud, Microservices Architecture, .NET 8, ASP.NET Core services, Python, MongoDB, Azure SQL, Angular 18, Kendo, GitHub Enterprise with Copilot, LangGraph, LangChain, RAG Pipelines, Multi-modal LLMs
What You’ll Do
- Define and enforce best practices and coding standards across the project
- Conduct thorough code reviews to ensure adherence to established guidelines and maintain high code quality
- Working both independently and in close collaboration with others in the team
- Communicating clear instructions to team members and helping manage the flow of day-to-day operations
- Communicating with the client regularly
- Design, develop, and maintain robust and scalable Spark applications
- Write clean, maintainable, and efficient code following best practices and coding standards
- Optimize code for performance and scalability, ensuring efficient data handling
- Work closely with cross-functional teams to deliver high-quality software solutions
- Identify and resolve technical issues, ensuring the reliability and performance of applications
- Create and maintain comprehensive documentation for code, processes, and workflows
What You Bring
- 5+ years of hands-on experience in software development
- Extensive experience working with Apache Spark, including platforms such as Databricks and/or Azure Synapse/Fabric
- Proficient in Python, with strong skills in data manipulation using Pandas/Polars and similar
- Solid understanding of columnar data storage formats, particularly Parquet, with practical experience using Delta Tables
- Proven expertise in data processing, analysis, and transformation workflows
- Strong analytical and problem-solving abilities with a detail-oriented mindset
- Practical and pragmatic approach to balancing standardized processes with flexibility to meet project goals effectively
- Excellent organizational skills with the ability to self-manage, prioritize tasks, structure workload, and meet tight deadlines
- Solid understanding of microservices architecture and its implementation in scalable systems
Nice to have
- Experience working with Azure Cloud services (or other major cloud platforms), including a range of SaaS offerings such as Service Bus, Data Lake, Blob Storage, Redis, and more
- Familiarity with FastAPI
- Expertise in containerization and orchestration tools such as Docker and Kubernetes
English level
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 Data Engineer (ADB, Python)
Share this job
We are looking for a motivated Senior Data Engineer (ADB, Python) who is willing to dive into the new project with a modern stack. If you’re driven by a curiosity to learn and a desire to produce meaningful results, please apply!
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
Our client is one of the Big Four accounting firms and the world’s largest professional services network. Headquartered in London, they operate in 150+ countries with 460,000+ professionals delivering excellence in audit, tax, consulting, and advisory.
The team you will join designs, develops, and deploys innovative enterprise technology and AI-driven tools to support the delivery of tax services. It is a dynamic group combining expertise in tax, software engineering, change management, and project management, working on initiatives from tool design and deployment to training development and engagement management.
Project Tech Stack
Azure Cloud, Microservices Architecture, .NET 8, ASP.NET Core services, Python, MongoDB, Azure SQL, Angular 18, Kendo, GitHub Enterprise with Copilot, LangGraph, LangChain, RAG Pipelines, Multi-modal LLMs
What You’ll Do
- Define and enforce best practices and coding standards across the project
- Conduct thorough code reviews to ensure adherence to established guidelines and maintain high code quality
- Working both independently and in close collaboration with others in the team
- Communicating clear instructions to team members and helping manage the flow of day-to-day operations
- Communicating with the client regularly
- Design, develop, and maintain robust and scalable Spark applications
- Write clean, maintainable, and efficient code following best practices and coding standards
- Optimize code for performance and scalability, ensuring efficient data handling
- Work closely with cross-functional teams to deliver high-quality software solutions
- Identify and resolve technical issues, ensuring the reliability and performance of applications
- Create and maintain comprehensive documentation for code, processes, and workflows
What You Bring
- 5+ years of hands-on experience in software development
- Extensive experience working with Apache Spark, including platforms such as Databricks and/or Azure Synapse/Fabric
- Proficient in Python, with strong skills in data manipulation using Pandas/Polars and similar
- Solid understanding of columnar data storage formats, particularly Parquet, with practical experience using Delta Tables
- Proven expertise in data processing, analysis, and transformation workflows
- Strong analytical and problem-solving abilities with a detail-oriented mindset
- Practical and pragmatic approach to balancing standardized processes with flexibility to meet project goals effectively
- Excellent organizational skills with the ability to self-manage, prioritize tasks, structure workload, and meet tight deadlines
- Solid understanding of microservices architecture and its implementation in scalable systems
Nice to have
- Experience working with Azure Cloud services (or other major cloud platforms), including a range of SaaS offerings such as Service Bus, Data Lake, Blob Storage, Redis, and more
- Familiarity with FastAPI
- Expertise in containerization and orchestration tools such as Docker and Kubernetes
English level
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)
Senior Software Engineer - Infrastructure
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Why Cast AI?
Cast AI is an automation platform that operates cloud-native and AI infrastructure at scale. By embedding autonomous decision-making directly into Kubernetes and cloud environments, Cast AI continuously optimizes performance, reliability, and efficiency in production.
The old way doesn't work. As Kubernetes and AI environments grow, manual decisions don’t. Cast AI replaces tickets, alerts, and manual tuning with continuous automation that adapts infrastructure as conditions change. Efficiency and cost savings follow naturally from that automation.
Over 2,100 companies already rely on Cast AI, including Akamai, BMW, Cisco, FICO, HuggingFace, NielsenIQ, Swisscom, and TGS.
Global team, diverse perspectives
We're headquartered in Miami, but our impact is international. We take a global and intentional approach to diversity. Today, Cast AI operates across 34 countries spanning Europe, North America, Latin America, and APAC, bringing a wide range of perspectives into how we build and lead.
Unicorn momentum
In January 2026, we achieved unicorn status with a strategic investment from Pacific Alliance Ventures, the corporate venture arm of Shinsegae Group (a $50+ billion Korean conglomerate). Our valuation now exceeds $1 billion, and we're just getting started.
Join us as we build the future of autonomous infrastructure.
This is a location-specific opportunity. We are currently accepting applications from candidates residing in the following European countries: Bulgaria, Croatia, Estonia, Greece, Hungary, Latvia, Lithuania, Poland, Romania, Slovakia, Slovenia, and Ukraine.
About the role
You'll join one of several teams building the low-level systems behind CAST AI's multi-cloud automation platform. The work sits at the intersection of Kubernetes, cloud infrastructure, and Linux.
Depending on your strengths, you'll work in one of these areas:
- Cluster and node lifecycle - custom node bootstrapping across AWS, GCP, and Azure. Controllers and operators managing full node lifecycle. Bridging the gap between autoscaler decisions and running VMs - including working around limitations of managed Kubernetes platforms like EKS, GKE, and AKS.
- Cross-cloud provisioning - orchestrating infrastructure across regions and clouds. Workflow orchestration, provisioning integrations, networking and identity across cloud boundaries.
- Live container migration - zero-downtime relocation of running containers using CRIU checkpoint/restore, custom CRI-O and runc forks, and forked cloud CNI plugins. Memory page transfer, TCP session migration, process-level checkpoint/restore. Kernel-level Linux engineering applied to Kubernetes.
- Storage optimization - dynamic volume rightsizing, BtrFS compression, custom CSI drivers. Full storage stack from cloud disk APIs through filesystem internals to Kubernetes PV/PVC lifecycle.
Common across all teams: Go, deep Kubernetes, multi-cloud, building beyond what the ecosystem offers.
How we build
We invest heavily in agentic development and AI-powered tooling. Engineers work with code agents and automated workflows daily. We expect you to shape how these tools evolve.
Requirements:
- Strong backend fundamentals and production-grade coding, preferably Go.
- Hands-on Kubernetes internals, cloud infrastructure, or large-scale distributed systems experience.
- Clear English communication, collaborative and self-directed.
- Bias toward action and ownership.
What would make you stand out
- Deep knowledge of EKS, GKE, or AKS internals.
- Low-level Linux experience: process internals, networking (NAT, iptables, conntrack, SDN), filesystems, storage.
- Kubernetes or cloud-native OSS contributions.
- Cloud storage depth - block storage, CSI, volume management, filesystem internals.
- Container runtime experience (CRI-O, runc, containerd) or CRIU.
- Experience with AI coding agents and agentic development workflows.
- Comfort building where there's no playbook.
Responsibilities:
- Design, build, and operate backend services, Kubernetes operators, and controllers in Go across AWS, GCP, and Azure.
- Solve infrastructure-layer problems — networking, scheduling, storage, compute, or container runtime internals.
- Build and maintain high-throughput services (gRPC/REST) and async orchestration workflows.
- Shape public and internal APIs.
- Leverage and improve AI-powered development workflows.
- Participate in design reviews, code reviews, on-call, and customer deep-dives.
What’s in it for you?
- Competitive salary (€6,500 - €9,000 gross, depending on the level of experience)
- Enjoy a flexible, remote-first global environment.
- Collaborate with a global team of cloud experts and innovators, passionate about pushing the boundaries of Kubernetes technology.
- Equity options.
- Get quick feedback with a fast-paced workflow. Most feature projects are completed in 1 to 4 weeks.
- Spend 10% of your work time on personal projects or self-improvement.
- Learning budget for professional and personal development - including access to international conferences and courses that elevate your skills.
- Annual hackathon to spark new ideas and strengthen team bonds.
- Team-building budget and company events to connect with your colleagues.
- Equipment budget to ensure you have everything you need.
- Extra days off to help maintain a healthy work-life balance.
Hiring process
- Screening call with Recruiter
- Hiring Manager interview
- Technical interview (system design)
- Live coding
- Culture Check interview with an executive
*As part of our standard hiring process, we would like to inform you that a background check may be conducted at the final stage of recruitment through our third-party provider, Checkr.
*Please note that Cast AI does not provide any form of visa sponsorship/work permit.
#LI-Remote
Ready to apply?
Apply to Cast AI
Senior AI Engineer - Harness Engineering (Kimchi)
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Why Kimchi?
Kimchi is the AI platform inside CAST AI. We started by helping companies run LLMs on their own Kubernetes clusters - now we're building the execution layer where agents do real work.
Our Infrastructure today: multi-model inference (MiniMax, Kimi, GLM-5, Nemotron, DeepSeek) with intelligent routing, an OpenAI-compatible API, and deployment flexibility from our GPUs to your VPC. The inference layer is the foundation. What we're hiring for sits on top of it: coding agents, agent runtimes, orchestration systems, and the reliability engineering that makes them actually finish things.
Tech Stack: TypeScript, Go, Kubernetes, AWS/GCP/Azure, MCP, Prometheus/Grafana/Loki, GitLab CI, ArgoCD.
Why harness engineering matters here
OpenAI and Anthropic ship models. They also ship one harness each - the scaffolding that turns a raw model into something that can plan, execute, recover, and complete work. We ship a different kind of harness: one built for cost-conscious, long-horizon autonomy, running on inference infrastructure we control end-to-end.
A decent model with a great harness beats a great model with a bad harness. We've watched this play out. The gap between what today's models can do and what you see them doing is largely a harness gap - and that gap is where we operate.
What you'll build
The ratchet.
Every time our agent makes a mistake, we engineer a solution so it never makes that mistake again. That means hooks that enforce constraints the model "knows" but forgets: pre-commit lint checks, permission gates, context compaction before the window fills. Success is silent, failures are verbose.
Long-horizon execution.
Our harness is built around spec-driven autonomy: meta-prompting, fresh context per task, worktree-per-slice git strategy, automatic replanning, crash recovery, stuck detection. We're implementing Ralph loops - when the model tries to exit, we intercept and reinject the goal into a fresh context. The agent reads state from disk and continues. Multi-session, multi-day work, without context rot.
Planner/executor splits.
Planning with a reasoning model, executing with a fast one, evaluating with a third. Separating generation from evaluation beats self-verification because agents reliably skew positive when grading their own work.
The harness surface.
CLI, TUI, MCP integration, sandboxed execution, telemetry. Our AGENTS.md is short - every line traces to a specific thing that went wrong. TypeScript on the surface, Go where it matters.
Memory and context.
Moving agents off laptops, giving them state that survives across sessions, managing context so information lands where it's actionable. Compaction, tool-call offloading, progressive skill disclosure.
What makes this different (with receipts)
You've seen the pitch: "we route to the best model." Everyone says that. Here's what we actually have:
- GPU infrastructure we own. Not just an API reseller. From GPU placement across clouds to the inference endpoint your agent calls - we control the cost curve.
- A harness-first thesis. We treat agent failures as configuration problems, not model problems. When we moved from a stock harness to our own, completion rates on internal benchmarks improved by 40%+ on the same model.
- Agents.md that earns every line. No brainstormed rules - every constraint in our system prompt traces to a real failure we saw and fixed.
Requirements:
- You've used AI coding agents in anger. Not demos - real work. You have opinions about Claude Code, Codex, OpenCode, Cursor. You know what it feels like when an agent gets stuck and why.
- Strong TypeScript or Go in production. Comfort moving between them. Our surface is TypeScript; our core is Go.
- You think in harness terms. You read "the agent hallucinated" and your first instinct is to ask what context it was missing, what hook should have caught it, what constraint should exist.
- You drive features end-to-end. Design → build → ship → measure → iterate. We don't have layers that absorb ambiguity for you.
Responsibilities:
- Build and evolve the agent harness - ship hooks, permission gates, and context compaction. Every AGENTS.md constraint traces to a failure you personally diagnosed.
- Own long-horizon execution - multi-session task completion via spec-driven prompting, worktree-per-slice git, Ralph loop recovery, and stuck detection. Completion rate is your metric.
- Architect planner/executor/evaluator pipelines - planning with a reasoning model, execution with a fast one, evaluation with a third. No self-verification.
- Manage agent memory and context - state persistence across sessions, context compaction, tool-call offloading. Zero context rot on multi-day work.
- Own the harness surface - CLI, TUI, MCP integrations, sandboxed execution, telemetry. TypeScript on the surface, Go where it matters.
What success looks like (after 6 months):
- You've shipped at least one major harness feature end-to-end: designed it, built it, measured it, iterated.
- You've added constraints to our AGENTS.md based on failures you personally observed and diagnosed.
- You've improved a measurable reliability metric - completion rate, context efficiency, or cost per successful task.
- You've formed strong opinions about where our harness is load-bearing and where it's dead weight.
What’s in it for you?
- Competitive salary (€6,500 - €9,000 gross, depending on the level of experience).
- Enjoy a flexible, remote-first global environment.
- Collaborate with a global team of cloud experts and innovators, passionate about pushing the boundaries of Kubernetes technology
- Equity options.
- Get quick feedback with a fast-paced workflow. Most feature projects are completed in 1 to 4 weeks.
- Spend 10% of your work time on personal projects or self-improvement.
- Learning budget for professional and personal development - including access to international conferences and courses that elevate your skills.
- Annual hackathon to spark new ideas and strengthen team bonds.
- Team-building budget and company events to connect with your colleagues.
- Equipment budget to ensure you have everything you need.
- Extra days off to help maintain a healthy work-life balance.
This is a location-specific opportunity. We are currently accepting applications from candidates residing in the following European countries: Bulgaria, Croatia, Estonia, Greece, Hungary, Latvia, Lithuania, Poland, Romania, Slovakia, Slovenia, and Ukraine.
*As part of our standard hiring process, we would like to inform you that a background check may be conducted at the final stage of recruitment through our third-party provider, Checkr.
*Please note that Cast AI does not provide any form of visa sponsorship/work permit.
#LI-Remote
Ready to apply?
Apply to Cast AI
Senior Software Engineer
Share this job
Why Cast AI?
Cast AI is an automation platform that operates cloud-native and AI infrastructure at scale. By embedding autonomous decision-making directly into Kubernetes and cloud environments, Cast AI continuously optimizes performance, reliability, and efficiency in production.
The old way doesn't work. As Kubernetes and AI environments grow, manual decisions don’t. Cast AI replaces tickets, alerts, and manual tuning with continuous automation that adapts infrastructure as conditions change. Efficiency and cost savings follow naturally from that automation.
Over 2,100 companies already rely on Cast AI, including Akamai, BMW, Cisco, FICO, HuggingFace, NielsenIQ, Swisscom, and TGS.
Global team, diverse perspectives
We're headquartered in Miami, but our impact is international. We take a global and intentional approach to diversity. Today, Cast AI operates across 34 countries spanning Europe, North America, Latin America, and APAC, bringing a wide range of perspectives into how we build and lead.
Unicorn momentum
In January 2026, we achieved unicorn status with a strategic investment from Pacific Alliance Ventures, the corporate venture arm of Shinsegae Group (a $50+ billion Korean conglomerate). Our valuation now exceeds $1 billion, and we're just getting started.
Join us as we build the future of autonomous infrastructure.
This is a location-specific opportunity. We are currently accepting applications from candidates residing in the following European countries: Bulgaria, Croatia, Estonia, Greece, Hungary, Latvia, Lithuania, Poland, Romania, Slovakia, Slovenia, and Ukraine.
We are hiring across multiple teams!
As a Senior Software Engineer, you will have the opportunity to work on different key features of our product. We are currently hiring Senior Software Engineers for the following teams:
- Workload Optimization - Automates workload resource management by dynamically adjusting resource allocations, helping developers significantly reduce costs and improve application reliability.
- Karpenter - The Karpenter team powers the integration between Karpenter and Cast AI, bringing enterprise capabilities to the most popular open source Kubernetes autoscaler. We enhance Karpenter with advanced features that improve application reliability and performance while optimizing costs. By joining the team, you’ll bridge open source innovation with enterprise requirements, directly impacting how organizations run Karpenter at scale.
- Reporting - Builds a scalable reporting system that ingests millions of rows per second into our time-series databases, providing insights into cost savings, workload efficiencies, and Cast AI automation impact.
- Pricing - Drives the synchronization of public and customer cloud resources, availability, and dynamic pricing across all major cloud providers. Empowers autoscaling by leveraging discounts, commitments, and cross-cluster tracking to maximize savings. Provides a reliable source of truth for node pricing, resources, components, discounts, and commitments.
- Autoscaler - Automates Kubernetes node autoscaling to optimize clusters, balance workloads, remove underutilized nodes, and dynamically allocate capacity in real-time, thereby reducing cluster costs by half.
- Identity - Builds and maintains the trust and access foundation for the entire platform, ensuring every user, service, and workload authenticates and interacts securely and seamlessly at scale.
- Billy - Powers the critical day-2 operations layer of the platform - from billing and audit trails to notifications and feature flags - ensuring the platform runs reliably, transparently, and at scale for every customer, every day.
Here are some of the tools we use daily:
- Programming Languages: Go
- Cloud & Orchestration: Kubernetes, AWS, GCP, Azure
- Databases & Storage: PostgreSQL, Cloud Object Storage
- Messaging & APIs: GCP Pub/Sub, gRPC for internal communication, REST for public APIs
- Observability: Prometheus, Grafana, Loki, Tempo
- CI/CD & GitOps: GitLab CI with ArgoCD.
Requirements:
- Production experience with Go is strongly preferred; candidates without Go should demonstrate strong systems programming skills in a comparable language.
- Deep hands-on experience with cloud platforms (AWS, GCP, or Azure) - including real understanding of how compute, networking, and storage work under the hood.
- Understanding of Kubernetes internals - autoscaling and networking.
- You've personally driven a complex project end-to-end.
- Strong debugging, optimization, and performance-tuning skills - including query profiling, index design, and database performance tuning beyond ORM usage.
- You've run observability tooling (Prometheus, Grafana, OpenTelemetry) in production.
- CI/CD and DevOps practices experience.
- Strong English skills, both verbal and written.
- Startup mindset: adaptable, proactive, and comfortable with ambiguity.
Responsibilities:
- Design and build distributed systems that operate Kubernetes infrastructure autonomously at scale.
- Write production Go services that interact with AWS, GCP, and Azure APIs for real-time cloud resource management.
- Own features end-to-end: from design through implementation, testing, and production rollout (most projects ship in 1-4 weeks).
- Debug complex production issues across cloud providers, Kubernetes clusters, and distributed services.
- Collaborate with product and other engineering teams to solve problems that don't have textbook solutions.
- Work with time-series data, cloud provider APIs, and Kubernetes control plane internals.
What’s in it for you?
- Competitive salary (€6,500 - €9,000 gross, depending on the level of experience)
- Enjoy a flexible, remote-first global environment.
- Collaborate with a global team of cloud experts and innovators, passionate about pushing the boundaries of Kubernetes technology.
- Equity options.
- Get quick feedback with a fast-paced workflow. Most feature projects are completed in 1 to 4 weeks.
- Spend 10% of your work time on personal projects or self-improvement.
- Learning budget for professional and personal development - including access to international conferences and courses that elevate your skills.
- Annual hackathon to spark new ideas and strengthen team bonds.
- Team-building budget and company events to connect with your colleagues.
- Equipment budget to ensure you have everything you need.
- Extra days off to help maintain a healthy work-life balance.
Hiring process
- Screening call with Recruiter
- Hiring Manager interview
- Technical interview (system design)
- Live coding
- Culture Check interview with an executive
*As part of our standard hiring process, we would like to inform you that a background check may be conducted at the final stage of recruitment through our third-party provider, Checkr.
*Please note that Cast AI does not provide any form of visa sponsorship/work permit.
#LI-Remote
Ready to apply?
Apply to Cast AI
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 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 a talented DevOps 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 a DevOps Engineer at OPSWAT, you own the on-premise infrastructure that the MFT and MFT Enterprise demo environments run on. You keep CI/CD pipelines green across both products, build the Kubernetes-based deployment foundation for MFT Enterprise, and ensure no critical infrastructure knowledge lives in a single person’s head. You use AI agents to automate repetitive ops work — scripting, config generation, runbook creation — so your leverage grows over time. You are measured by pipeline reliability, environment stability, and recovery speed, not ticket volume. You think in systems: you see how CI/CD, Kubernetes, security, and application delivery fit together — and you build for resilience, not just functionality.
If you’re interested in working as a DevOps Engineer at OPSWAT, please apply, and we will get in touch!
You Will Have The Opportunity to
- Own CI/CD pipeline stability across MFT and MFT Enterprise — maintaining fast, reliable builds and deployments for both on-premise products.
- Build and baseline the Kubernetes-based on-premise deployment environment for MFT Enterprise — establishing the containerised infrastructure foundation the product will ship and scale on.
- Reduce single-resource dependency on infrastructure — document runbooks, cross-train teammates, and automate institutional knowledge so the team operates without critical bottlenecks.
- Own infrastructure-related escalations reliably — diagnose incidents quickly, resolve with urgency, write post-mortems, and implement systemic fixes that prevent recurrence.
- Use AI agents to automate infrastructure tasks — generating scripts, configuration, and runbooks — so repetitive ops work is delegated to agents and human effort focuses on judgment and architecture.
- Author and maintain infrastructure-as-code and AI context files for every environment you own — treating infrastructure with the same rigour as application code, versioned, reviewed, and agent-readable.
- Collaborate with the engineering team to define on-premise deployment patterns, environment standards, and infrastructure guardrails for MFT Enterprise — so the product ships on a stable, well-understood foundation.
- Help troubleshoot infrastructure issues in customer environments — partnering with the support team to reproduce problems, identify root causes, and deliver fixes that improve environment reliability.
- Act as the security gatekeeper for all infrastructure environments — enforcing secrets management practices, detecting and remediating leaked credentials, and ensuring access to CI/CD pipelines and deployment configurations follows least-privilege principles.
What We Are Looking For
- AI-Native Fluency: Uses AI agents as core ops tools, not add-ons — generating scripts, configs, and runbooks through agents, and approaching infrastructure automation with an AI-native mindset. Must show real work where agents drove operational velocity.
- CI/CD Expertise: 3+ years hands-on experience building and maintaining CI/CD pipelines (GitHub Actions, TeamCity, or equivalent) at production scale — diagnosing failures fast and shipping fixes without disrupting teams.
- Kubernetes Proficiency: Hands-on experience deploying, configuring, and maintaining Kubernetes-based environments in on-premise contexts — comfortable with cluster management, workload configuration, and troubleshooting in staging and production.
- Infrastructure as Code: 2+ years proficiency with IaC tools (Terraform, Ansible, Helm, or equivalent) — infrastructure is treated as versioned, reviewed code, not manual configuration.
- Reliability Mindset: Proven ability to own and resolve infrastructure incidents under pressure — writes clear post-mortems, drives systemic improvements, and proactively reduces bus factor through documentation and cross-training.
It Would Be Nice If You Had
- Experience with cloud platforms: Exposure to AWS, Azure, or GCP — useful for CI/CD tooling and build infrastructure even where the product itself is on-premise.
- Observability: Experience with monitoring, alerting, and tracing stacks (Prometheus, Grafana, ELK, or equivalent) — making failure visible before users notice it.
- Security-hardened infrastructure: Applying security controls to infrastructure — network policies, secrets management, least-privilege access — in enterprise or compliance-driven environments.
- AI in CI/CD: Running AI agents inside pipelines — auto-generating configs, validating infrastructure changes, or triggering remediation as pipeline steps.
- Home lab or personal projects: A personal infrastructure project — self-hosted Kubernetes, home automation, or anything showing genuine curiosity and hands-on initiative outside of work.
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 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 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 a talented DevOps 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 a DevOps Engineer at OPSWAT, you own the on-premise infrastructure that the MFT and MFT Enterprise demo environments run on. You keep CI/CD pipelines green across both products, build the Kubernetes-based deployment foundation for MFT Enterprise, and ensure no critical infrastructure knowledge lives in a single person’s head. You use AI agents to automate repetitive ops work — scripting, config generation, runbook creation — so your leverage grows over time. You are measured by pipeline reliability, environment stability, and recovery speed, not ticket volume. You think in systems: you see how CI/CD, Kubernetes, security, and application delivery fit together — and you build for resilience, not just functionality.
If you’re interested in working as a DevOps Engineer at OPSWAT, please apply, and we will get in touch!
You Will Have The Opportunity to
- Own CI/CD pipeline stability across MFT and MFT Enterprise — maintaining fast, reliable builds and deployments for both on-premise products.
- Build and baseline the Kubernetes-based on-premise deployment environment for MFT Enterprise — establishing the containerised infrastructure foundation the product will ship and scale on.
- Reduce single-resource dependency on infrastructure — document runbooks, cross-train teammates, and automate institutional knowledge so the team operates without critical bottlenecks.
- Own infrastructure-related escalations reliably — diagnose incidents quickly, resolve with urgency, write post-mortems, and implement systemic fixes that prevent recurrence.
- Use AI agents to automate infrastructure tasks — generating scripts, configuration, and runbooks — so repetitive ops work is delegated to agents and human effort focuses on judgment and architecture.
- Author and maintain infrastructure-as-code and AI context files for every environment you own — treating infrastructure with the same rigour as application code, versioned, reviewed, and agent-readable.
- Collaborate with the engineering team to define on-premise deployment patterns, environment standards, and infrastructure guardrails for MFT Enterprise — so the product ships on a stable, well-understood foundation.
- Help troubleshoot infrastructure issues in customer environments — partnering with the support team to reproduce problems, identify root causes, and deliver fixes that improve environment reliability.
- Act as the security gatekeeper for all infrastructure environments — enforcing secrets management practices, detecting and remediating leaked credentials, and ensuring access to CI/CD pipelines and deployment configurations follows least-privilege principles.
What We Are Looking For
- AI-Native Fluency: Uses AI agents as core ops tools, not add-ons — generating scripts, configs, and runbooks through agents, and approaching infrastructure automation with an AI-native mindset. Must show real work where agents drove operational velocity.
- CI/CD Expertise: 3+ years hands-on experience building and maintaining CI/CD pipelines (GitHub Actions, TeamCity, or equivalent) at production scale — diagnosing failures fast and shipping fixes without disrupting teams.
- Kubernetes Proficiency: Hands-on experience deploying, configuring, and maintaining Kubernetes-based environments in on-premise contexts — comfortable with cluster management, workload configuration, and troubleshooting in staging and production.
- Infrastructure as Code: 2+ years proficiency with IaC tools (Terraform, Ansible, Helm, or equivalent) — infrastructure is treated as versioned, reviewed code, not manual configuration.
- Reliability Mindset: Proven ability to own and resolve infrastructure incidents under pressure — writes clear post-mortems, drives systemic improvements, and proactively reduces bus factor through documentation and cross-training.
It Would Be Nice If You Had
- Experience with cloud platforms: Exposure to AWS, Azure, or GCP — useful for CI/CD tooling and build infrastructure even where the product itself is on-premise.
- Observability: Experience with monitoring, alerting, and tracing stacks (Prometheus, Grafana, ELK, or equivalent) — making failure visible before users notice it.
- Security-hardened infrastructure: Applying security controls to infrastructure — network policies, secrets management, least-privilege access — in enterprise or compliance-driven environments.
- AI in CI/CD: Running AI agents inside pipelines — auto-generating configs, validating infrastructure changes, or triggering remediation as pipeline steps.
- Home lab or personal projects: A personal infrastructure project — self-hosted Kubernetes, home automation, or anything showing genuine curiosity and hands-on initiative outside of work.
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: MetaDefender Managed File Transfer.
MetaDefender Managed File Transfer is OPSWAT’s secure, policy-driven file transfer solution designed to provide enterprise-grade protection, automation, and oversight for file workflows. 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.
- Contribute to AI-driven features that enhance data processing, analysis, and automation within the platform.
- 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.
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’s Technology Development Centre in Veszprém, we are looking for talented Test Automation Engineers to join our teams who are designing, building, re-engineering and testing advanced cybersecurity products that protect critical infrastructure worldwide. If you are knowledgeable, creative and passionate, and interested in testing unique security solutions that no one else is developing, then you could be just the person we are looking for!
At OPSWAT, we believe that exceptional talent is always worth getting to know, even when there are no current vacancies. Our Evergreen Test Automation Engineer position offers continuous opportunities for enthusiastic and motivated professionals to 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.
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.
You Will Have the Opportunity to
- Contribute to the development of integrated automated tests
- Create automated test reporting and metrics collection
- Enable the transition of testing from a manual to an automated approach
- Keep testcases up to date and refactor them
- Collaborating and sharing knowledge with QA Team members and Software Developers to develop solutions
What We Are Looking For
- Practical knowledge in designing and developing test automation solutions
- Quality mindset
- Solid knowledge in Python, JavaScript or TypeScript programming languages
- Highly accurate and detail-oriented approach
- Strong command of the English language (both written and verbal)
- Commitment to learning and openness to new technologies
- Experience in CI/CD environments
- Demonstrated ability to use AI tools (e.g., ChatGPT, Copilot, Notion AI, Midjourney) to improve efficiency, creativity, or problem-solving.
- Experience with containerization and AWS knowledge are welcomed
- ISTQB certificate is appreciated
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
Senior Software Engineer (.Net and AWS)
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Position Overview:
As a Senior Software Engineer at Diligent, you’ll be hands-on in shaping the future of our platform by designing and delivering secure, scalable, and high-performing microservices that power our SaaS solutions. You’ll have the full power of AWS at your disposal and will work primarily in C#/.Net Core and Angular to build serverless solutions, either from the ground up or by modernizing existing services.
In this role, you’ll lead by example, owning services end-to-end from development to deployment and monitoring, driving architectural discussions, and mentoring others across the team. You’ll be a key voice in evolving our engineering practices and will actively champion the use of AI-powered tools to streamline development, improve quality, and boost team productivity.
We’re looking for someone who is not only passionate about building great software but also excited to explore how AI can unlock better ways of working for themselves and their teammates.
Key Responsibilities:
- Design and own secure, scalable services, guiding technical decisions and evaluating trade-offs (including AI-driven components) to meet reliability, performance, and cost goals.
- Leverage AI tools to accelerate coding, debugging, testing, and prototyping, while rigorously validating outputs to ensure quality and safety.
- Advise on appropriate AI use (model concepts, prompt patterns, ethical/privacy considerations), embed monitoring and compliance checks into workflows, and document residual risks and mitigations.
- Coach peers on engineering best practices and AI-augmented approaches; partner with Product, Security, DevOps, and other teams to align on features, deployment, and compliance.
- Scout and pilot emerging tools or frameworks (including AI toolchains), integrate automated governance checks into pipelines, and enhance observability and incident response with an eye on productivity, cost, and resilience.
Required Experience/Skills
- 5-7 years of professional software engineering in an agile environment, delivering secure, scalable services.
- Understands high-level LLM concepts (e.g., hallucinations, prompt sensitivity) and safe vs. unsafe AI use cases.
- Experienced in using AI tools to accelerate coding, debugging, testing, and prototyping, with critical review of outputs.
- Skilled in prompt engineering—designing reusable prompts and coaching peers.
- Familiar with ethical/cost risks (bias, privacy, vendor lock-in) and embeds basic compliance checks into workflows.
- Proficient in C#, .Net for RESTful APIs (OpenAPI), and hands-on AWS serverless patterns.
- Comfortable with infrastructure as code (CDK/Terraform), containerization (Docker), CI/CD pipelines, and monitoring tools.
- Experience with SQL (PostgreSQL) and/or NoSQL databases; able to design and optimize schemas for performance.
- Applies security best practices in code and deployments (e.g., IAM, secrets management) and reviews AI-assisted suggestions for safety.
- Strong communication of technical and AI-related concepts to diverse stakeholders.
- Proven ability to mentor or guide peers on engineering best practices and AI-augmented workflows.
- Familiarity with Angular to collaborate effectively on end-to-end features.
- Degree in Computer Science/Engineering/related field or equivalent hands-on experience.
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
Staff Software Engineer (Data & AWS)
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Here’s a summary of the role:
You’re ready to work at scale — re‑thinking how data is collected, processed and delivered to our customers end‑to‑end. As a Staff Software Engineer working on a building up a cutting edge data ecosystem, you’ll shape architectures that power feeds, analytics platforms, reports and dashboards used by customers every day. You’ll explore and apply cloud technologies, distributed systems, AI solutions, influencing technical direction while still getting hands‑on with code. This role is for you if you thrive on data pipelines, APIs, cloud‑native services, scalability, performance, and reliability, enjoy technical leadership, and want your engineering decisions to have visible impact from ingestion to insight.
Here’s a breakdown of what you’ll do (not all of it, just the important stuff):
- Set technical direction across teams, driving ai-native and cloud‑native architecture and long‑term system evolution
- Lead design of secure, scalable MCP hosts, and AWS microservices, balancing performance, reliability, and cost
- Influence AI adoption through AI first solution desing, model guidance, prompt strategy, and built‑in governance and monitoring
- Shape roadmaps with Product, Security, and DevOps to deliver compliant, high‑impact solutions
- Evaluate and pilot emerging technologies to boost developer productivity and platform capability
- Mentor engineers, raising engineering standards and fostering ethical, AI‑aware practices
These are the essentials you’ll need to get an interview:
- Deep background in enterprise software design, implementation, and operation (OOP, commercial environments)
- Extensive hands‑on experience with cloud native architecture and services, ideally on AWS
- Strong foundation in data driven systems: data acquisition, processing pipelines, and customer facing reporting
- Proven experience with delivering AI based customer solutions to production
- Familiarity with modern data transformation tools such as dbt
- Proven expertise with SQL and NoSQL databases, alongside APIs and microservices at scale
- Senior engineer mindset: proactive problem solver, comfortable owning outcomes
- Leading multiple concurrent projects and ensuring strong collaboration with a wide range of stakeholders
- Passion for continuous improvement—sharing knowledge, refining processes, and raising the bar across teams
- Curiosity for new tools and patterns, with a pragmatic approach to adopting what works best
It would be great if you had these to, but we’ll support you if you don’t:
- Experience with TypeScript and Python in production, ideally across data‑ and service‑oriented systems
- Hands‑on experience with PostgreSQL and strong SQL workflows
- Exposure to cloud data platforms, especially Snowflake, at scale
- Comfortable working across the full data lifecycle—from ingestion to analytics and reporting
#LIHybrid
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
Agentic Analytics Engineer
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This role is located in Budapest, Hungary — We are a hybrid work environment and are in the office 3+ days/per week.
Tulip, the leader in AI-native frontline operations, is helping companies around the world equip their workforce with composable, connected apps, leading to higher quality work, improved efficiency, and end-to-end traceability across operations. Tulip's cloud-native, no-code platform, powered by embedded AI, is driving the digital transformation of industrial environments through composable, human-centric solutions that go beyond disrupting the Manufacturing Execution System (MES) category.
A spinoff out of MIT, Tulip is headquartered in Somerville, MA, with offices in Germany, Hungary, Singapore, and Israel. Tulip has been recognized as a World Economic Forum Global Innovator, a 2024 Deloitte Technology Fast award winner, one of Energage's Top Workplaces USA, and one of Built In Boston's "Best Places to Work" and "Best Midsize Places to Work."
About You
- You've built production data models and know how to turn vague business questions into clear, canonical definitions
- You use AI tooling as your primary mode of engineering and have developed a real point of view on how to deliver high-quality datasets when the technical work is done by AI
- You're comfortable engaging with stakeholders to untangle what they actually need and turning that conversation into a structured analytical approach
- You're looking for a role where agentic tools are the default, and where you can help shape how a central data team delivers the reliable signals that operational and strategic decisions depend on.
What Skills Do I Need?
- Bachelor's degree in a quantitative, technical, or business field, or equivalent working experience.
- 4+ years of experience in analytics, data science, or data engineering, with increasing scope and ownership.
- Proficiency with agentic coding tools (e.g., Claude Code, Cursor) as your primary mode of building, testing, and documenting production data models, including shipping reusable assets that improve agentic workflows.
- Experience translating business requirements into structured analytical approaches, running workshops, and aligning stakeholders on canonical metric definitions.
- Strong data modeling skills and the ability to write performant SQL against cloud warehouses, with a strong emphasis on data quality and automated testing.
- SQL and Python proficiency for data modeling, pipeline orchestration, and API integrations using the broader data stack (dbt, Airflow, dlt, etc.).
Nice to Haves
- Experience with semantic modeling tools such as MetricFlow, Cube, or LookML
- Experience with data cataloging and metadata platforms such as DataHub or Atlan
- Familiarity with BI tools such as Tableau, Looker, or Sigma
Key Responsibilities
- Build and maintain data models and pipelines primarily using AI coding tools, with consistent best-practice patterns, clear documentation, and high-quality standards
- Build and improve agentic coding workflows to accelerate data modeling and testing, while staying in the loop on business logic, review, and company-specific edge cases
- Partner with stakeholders to surface conflicting metric definitions, run alignment workshops, and establish canonical standards across domains
- Define and enforce data quality standards across pipelines — including unit tests grounded in sample data and lineage-aware test placement — and enable domain analysts to follow the same standards
- Prototype and iterate on a semantic and context layer that makes Tulip's data accessible to both analysts and AI agents, including the documentation and instructions that let an LLM behave correctly against it
- Help the team make sensible calls about where on the risk curve to deploy AI: lower-risk for internal modeling and testing, more cautious for self-serve BI, and most cautious for anything customer-facing
Key Collaborators
- Commercial Teams
- Marketing Teams
- Product and Engineering Teams
- Operational Leadership
- Data Analytics stakeholders across departments
Working at Tulip
We know even great candidates experience imposter syndrome. Even if you don't match every requirement, applying gives you the opportunity to be considered.
We're building a strong, diverse team that values hard work, families, and personal well-being. Benefits of working with us include:
- Direct impact on product and culture
- Private Healthcare insurance
- Company equity
- Virtual company events and happy hours
- Flexible work schedule and unlimited vacation policy
- Team Lunches in KFT Hub and office snacks
- Learning & Development benefits
- HU Eyeglass Benefit
- An inclusive, dog-friendly office with diverse and inspiring colleagues
We are an equal opportunity employer. At Tulip, we celebrate all. Qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. Help us build an inclusive community that will transform frontline operations.
Please note that we may use AI-based tools to support parts of our hiring process. All data processing is carried out in compliance with local data protection laws, ensuring all personal candidate information is handled securely and ethically.
It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.
Please note that we may use AI-based tools to support parts of our hiring process. All data processing is carried out in compliance with local data protection laws, ensuring all personal candidate information is handled securely and ethically.
Ready to apply?
Apply to Tulip Interfaces
AI Systems & Data Engineer
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About the Role
Diligent is the AI leader in GRC solutions, helping organizations around the world turn governance, risk, compliance, audit, and ESG into a competitive advantage. Within HR we're embarking on our own transformation journey to fundamentally redesign how our people experience HR at Diligent.
We're looking for a AI Systems & Data Engineer who can co-own the technical heavy lifting of this transformation. This isn't just configuration work — you'll write Python scripts for complex data conversions, build AI agents and standalone people-facing solutions, architect integrations, design automation workflows, and solve problems we haven't encountered yet.
We need a strong engineer who can figure things out, move fast, and think about the impact on thousands of people, not just data rows—someone who cares about impact, not just technically elegant solutions. You'll have the autonomy to propose ideas, experiment, and own outcomes, while working with experienced HR and technology teams who can provide context and support.
Key Responsibilities
- Play a key role in the data migration workstream from Oracle HCM and Greenhouse to Workday — writing Python scripts for complex data transformations, conducting manual data audits to validate integrity, and building automated validation frameworks.
- Design and build a modern AI-powered automated acceptance testing framework for the Workday implementation — enabling the team to run rigorous, repeatable UAT without manual overhead.
- Design and build scalable workflow automations across the HR tech stack, using Workato and other platforms.
- Build conversational AI agents and standalone AI-powered solutions (e.g. self-service People Experience tools) on DiligentGPT (Glean), Workato, self-hosted, and other platforms — including hosted tools with their own presence beyond a single chat interface.
- Build AI-powered auditing and validation agents to monitor data integrity, flag anomalies, and surface quality issues across HR systems — with AI layer exploration.
- Support implementation and configuration of HR tooling and integrations across the tech stack, ensuring systems are properly connected and maintained.
- Create data visualisations and dashboards that enable HR stakeholders to access insights, make data-driven decisions, and identify opportunities for automation — while also monitoring migration progress and system health.
- Document technical architecture, data flows, and integration patterns to enable future maintenance and support knowledge transfer.
- Troubleshoot and resolve data quality issues, integration failures, and system errors as they arise during implementation and post-go-live.
- Partner with HR Operations, HRIS, and business stakeholders to gather technical requirements and translate business needs into technical solutions.
- Question assumptions, propose better approaches, and advocate for solutions that are technically sound and human-centred.
Required Skills & Experience
- 4+ years of hands-on engineering experience building data pipelines, integrations, or automation systems
- Strong Python skills with experience in complex data transformations and clean, maintainable code
- Experience with APIs (REST, SOAP), JSON, XML and integrating different systems; comfortable with SQL and database concepts
- Experience with automation/integration platforms (e.g. Workato, JSM) and AI agents, chatbots, or LLM-powered applications
- Familiarity with enterprise HRIS platforms (Workday, Oracle HCM) and understanding of HR data structures
- Proven track record of leading technical projects end-to-end with stakeholder management and delivery ownership
- Self-directed and outcome-focused — you figure things out, communicate technical concepts clearly, and care about solving problems
What You'll Gain
- Understanding of how HR transformation works at scale across a global organization.
- Deep hands-on experience with Workday (industry-leading HRIS) implementation and configuration
- AI agent development and LLM integration experience building production tools used by thousands of employees
- Enterprise data migration and integration architecture expertise across complex HR systems
- Automation platform mastery and workflow design skills
- Exposure to the intersection of people, process, technology, and change management while building relationships across HR, IT, Data, and Apps teams
- Portfolio-worthy work: AI agents, data pipelines, and integrations used by 2,500+ employees across 21 countries
- Experience that translates to HR tech consulting, product engineering, or senior IC/leadership roles
This is a one year fixed-term role (possibility to move to permanent) tied to our Workday implementation and AI transformation roadmap. You'll report to the Senior Director of HR AI & Systems Transformation (who is based in London) and work closely with our global team across HR Operations, HRIS, IT, Data, Apps, and transformation project teams.
#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 Software Engineer (Python, AI)
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We are looking for a motivated Senior Software Engineer (Python, AI) who is willing to dive into the new project with a modern stack. If you’re driven by a curiosity to learn and a desire to produce meaningful results, please apply!
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
Our client is one of the Big Four accounting firms and the world’s largest professional services network. Headquartered in London, they operate in 150+ countries with 460,000+ professionals delivering excellence in audit, tax, consulting, and advisory.
The team you will join designs, develops, and deploys innovative enterprise technology and AI-driven tools to support the delivery of tax services. It is a dynamic group combining expertise in tax, software engineering, change management, and project management, working on initiatives from tool design and deployment to training development and engagement management.
Project Tech Stack
Azure Cloud, Microservices Architecture, .NET 8, ASP.NET Core services, Python, MongoDB, Azure SQL, Angular 18, Kendo, GitHub Enterprise with Copilot, LangGraph, LangChain, RAG Pipelines, Multi-modal LLMs
What You’ll Do
- Providing requirements analysis, system design, Python and AI development, troubleshooting, performance optimization, and technical support
- Designing, developing, and maintaining scalable Python applications using FastAPI and Pydantic
- Implementing asynchronous and parallel programming solutions with asyncio
- Conducting thorough code reviews to ensure adherence to established guidelines and maintain high code quality
- Integrating and experimenting with multi-modal GenAI models (text-to-image, text-to-audio, etc.)
- Working both independently and collaboratively within the team
- Providing clear instructions to team members and helping coordinate day-to-day operations
- Communicating with the client on a regular basis
- Providing technical leadership for the team – mentor, coach, and lead by example
What You Bring
- 5+ years of background in development
- Strong background in Python, FastAPI
- Experience with Pydantic for data validation and schema definition in Python applications
- Hands-on experience with asyncio, asynchronous/parallel programming
- Experience with Generative AI and Large Language Models (LLMs) to solve real-world problems and in developing agentic AI applications to enhance AI interaction
- Understanding of RAG pipelines and hybrid search with vector databases
- Strong analytical and problem-solving abilities with a detail-oriented mindset
- Pragmatic approach to balancing process against flexibility in achieving objectives
- Excellent organizational skills, including the capacity to self-manage, structure work, set priorities, and work to deadlines
- Excellent troubleshooting and communication skills
Nice to have
- Experience working with Azure Cloud services (or other major cloud platforms), including a range of SaaS offerings such as Service Bus, Data Lake, Blob Storage, Redis, and more
- Familiarity with agentic protocols such as MCP and A2A is a strong plus
- Hands-on experience with the LangGraph stack, including long-term memory, human-in-the-loop workflows, and state management, is highly desirable
- Familiarity with .NET is considered a plus
- Hands-on experience with containerization and orchestration tools such as Docker and Kubernetes
- Solid understanding of microservices architecture and its implementation in scalable systems
English level
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)
Senior Software Engineer (Python, AI)
Share this job
We are looking for a motivated Senior Software Engineer (Python, AI) who is willing to dive into the new project with a modern stack. If you’re driven by a curiosity to learn and a desire to produce meaningful results, please apply!
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
Our client is one of the Big Four accounting firms and the world’s largest professional services network. Headquartered in London, they operate in 150+ countries with 460,000+ professionals delivering excellence in audit, tax, consulting, and advisory.
The team you will join designs, develops, and deploys innovative enterprise technology and AI-driven tools to support the delivery of tax services. It is a dynamic group combining expertise in tax, software engineering, change management, and project management, working on initiatives from tool design and deployment to training development and engagement management.
Project Tech Stack
Azure Cloud, Microservices Architecture, .NET 8, ASP.NET Core services, Python, MongoDB, Azure SQL, Angular 18, Kendo, GitHub Enterprise with Copilot, LangGraph, LangChain, RAG Pipelines, Multi-modal LLMs
What You’ll Do
- Providing requirements analysis, system design, Python and AI development, troubleshooting, performance optimization, and technical support
- Designing, developing, and maintaining scalable Python applications using FastAPI and Pydantic
- Implementing asynchronous and parallel programming solutions with asyncio
- Conducting thorough code reviews to ensure adherence to established guidelines and maintain high code quality
- Integrating and experimenting with multi-modal GenAI models (text-to-image, text-to-audio, etc.)
- Working both independently and collaboratively within the team
- Providing clear instructions to team members and helping coordinate day-to-day operations
- Communicating with the client on a regular basis
- Providing technical leadership for the team – mentor, coach, and lead by example
What You Bring
- 5+ years of background in development
- Strong background in Python, FastAPI
- Experience with Pydantic for data validation and schema definition in Python applications
- Hands-on experience with asyncio, asynchronous/parallel programming
- Experience with Generative AI and Large Language Models (LLMs) to solve real-world problems and in developing agentic AI applications to enhance AI interaction
- Understanding of RAG pipelines and hybrid search with vector databases
- Strong analytical and problem-solving abilities with a detail-oriented mindset
- Pragmatic approach to balancing process against flexibility in achieving objectives
- Excellent organizational skills, including the capacity to self-manage, structure work, set priorities, and work to deadlines
- Excellent troubleshooting and communication skills
Nice to have
- Experience working with Azure Cloud services (or other major cloud platforms), including a range of SaaS offerings such as Service Bus, Data Lake, Blob Storage, Redis, and more
- Familiarity with agentic protocols such as MCP and A2A is a strong plus
- Hands-on experience with the LangGraph stack, including long-term memory, human-in-the-loop workflows, and state management, is highly desirable
- Familiarity with .NET is considered a plus
- Hands-on experience with containerization and orchestration tools such as Docker and Kubernetes
- Solid understanding of microservices architecture and its implementation in scalable systems
English level
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 Software Engineer (Python, AI)
Share this job
We are looking for a motivated Senior Software Engineer (Python, AI) who is willing to dive into the new project with a modern stack. If you’re driven by a curiosity to learn and a desire to produce meaningful results, please apply!
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
Our client is one of the Big Four accounting firms and the world’s largest professional services network. Headquartered in London, they operate in 150+ countries with 460,000+ professionals delivering excellence in audit, tax, consulting, and advisory.
The team you will join designs, develops, and deploys innovative enterprise technology and AI-driven tools to support the delivery of tax services. It is a dynamic group combining expertise in tax, software engineering, change management, and project management, working on initiatives from tool design and deployment to training development and engagement management.
Project Tech Stack
Azure Cloud, Microservices Architecture, .NET 8, ASP.NET Core services, Python, MongoDB, Azure SQL, Angular 18, Kendo, GitHub Enterprise with Copilot, LangGraph, LangChain, RAG Pipelines, Multi-modal LLMs
What You’ll Do
- Providing requirements analysis, system design, Python and AI development, troubleshooting, performance optimization, and technical support
- Designing, developing, and maintaining scalable Python applications using FastAPI and Pydantic
- Implementing asynchronous and parallel programming solutions with asyncio
- Conducting thorough code reviews to ensure adherence to established guidelines and maintain high code quality
- Integrating and experimenting with multi-modal GenAI models (text-to-image, text-to-audio, etc.)
- Working both independently and collaboratively within the team
- Providing clear instructions to team members and helping coordinate day-to-day operations
- Communicating with the client on a regular basis
- Providing technical leadership for the team – mentor, coach, and lead by example
What You Bring
- 5+ years of background in development
- Strong background in Python, FastAPI
- Experience with Pydantic for data validation and schema definition in Python applications
- Hands-on experience with asyncio, asynchronous/parallel programming
- Experience with Generative AI and Large Language Models (LLMs) to solve real-world problems and in developing agentic AI applications to enhance AI interaction
- Understanding of RAG pipelines and hybrid search with vector databases
- Strong analytical and problem-solving abilities with a detail-oriented mindset
- Pragmatic approach to balancing process against flexibility in achieving objectives
- Excellent organizational skills, including the capacity to self-manage, structure work, set priorities, and work to deadlines
- Excellent troubleshooting and communication skills
Nice to have
- Experience working with Azure Cloud services (or other major cloud platforms), including a range of SaaS offerings such as Service Bus, Data Lake, Blob Storage, Redis, and more
- Familiarity with agentic protocols such as MCP and A2A is a strong plus
- Hands-on experience with the LangGraph stack, including long-term memory, human-in-the-loop workflows, and state management, is highly desirable
- Familiarity with .NET is considered a plus
- Hands-on experience with containerization and orchestration tools such as Docker and Kubernetes
- Solid understanding of microservices architecture and its implementation in scalable systems
English level
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 Software Engineer (Python + AI)
Share this job
We are looking for a motivated Senior Software Engineer (Python + AI) who is willing to dive into the new project with a modern stack. If you’re driven by a curiosity to learn and a desire to produce meaningful results, please apply!
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
Our client is one of the Big Four accounting firms and the world’s largest professional services network. Headquartered in London, they operate in 150+ countries with 460,000+ professionals delivering excellence in audit, tax, consulting, and advisory.
The team you will join designs, develops, and deploys innovative enterprise technology and AI-driven tools to support the delivery of tax services. It is a dynamic group combining expertise in tax, software engineering, change management, and project management, working on initiatives from tool design and deployment to training development and engagement management.
Project Tech Stack
Azure Cloud, Microservices Architecture, .NET 8, ASP.NET Core services, Python, MongoDB, Azure SQL, Angular 18, Kendo, GitHub Enterprise with Copilot, LangGraph, LangChain, RAG Pipelines, Multi-modal LLMs
What You’ll Do
- Providing requirements analysis, system design, Python and AI development, troubleshooting, performance optimization, and technical support
- Designing, developing, and maintaining scalable Python applications using FastAPI and Pydantic
- Implementing asynchronous and parallel programming solutions with asyncio
- Conducting thorough code reviews to ensure adherence to established guidelines and maintain high code quality
- Integrating and experimenting with multi-modal GenAI models (text-to-image, text-to-audio, etc.)
- Working both independently and collaboratively within the team
- Providing clear instructions to team members and helping coordinate day-to-day operations
- Communicating with the client on a regular basis
- Providing technical leadership for the team – mentor, coach, and lead by example
What You Bring
- 5+ years of background in development
- Strong background in Python, FastAPI
- Experience with Pydantic for data validation and schema definition in Python applications
- Hands-on experience with asyncio, asynchronous/parallel programming
- Experience with Generative AI and Large Language Models (LLMs) to solve real-world problems and in developing agentic AI applications to enhance AI interaction
- Understanding of RAG pipelines and hybrid search with vector databases
- Strong analytical and problem-solving abilities with a detail-oriented mindset
- Pragmatic approach to balancing process against flexibility in achieving objectives
- Excellent organizational skills, including the capacity to self-manage, structure work, set priorities, and work to deadlines
- Excellent troubleshooting and communication skills
Nice to have
- Experience working with Azure Cloud services (or other major cloud platforms), including a range of SaaS offerings such as Service Bus, Data Lake, Blob Storage, Redis, and more
- Familiarity with agentic protocols such as MCP and A2A is a strong plus
- Hands-on experience with the LangGraph stack, including long-term memory, human-in-the-loop workflows, and state management, is highly desirable
- Familiarity with .NET is considered a plus
- Hands-on experience with containerization and orchestration tools such as Docker and Kubernetes
- Solid understanding of microservices architecture and its implementation in scalable systems
English level
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)
Senior Software Engineer (Python + AI)
Share this job
We are looking for a motivated Senior Software Engineer (Python + AI) who is willing to dive into the new project with a modern stack. If you’re driven by a curiosity to learn and a desire to produce meaningful results, please apply!
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
Our client is one of the Big Four accounting firms and the world’s largest professional services network. Headquartered in London, they operate in 150+ countries with 460,000+ professionals delivering excellence in audit, tax, consulting, and advisory.
The team you will join designs, develops, and deploys innovative enterprise technology and AI-driven tools to support the delivery of tax services. It is a dynamic group combining expertise in tax, software engineering, change management, and project management, working on initiatives from tool design and deployment to training development and engagement management.
Project Tech Stack
Azure Cloud, Microservices Architecture, .NET 8, ASP.NET Core services, Python, MongoDB, Azure SQL, Angular 18, Kendo, GitHub Enterprise with Copilot, LangGraph, LangChain, RAG Pipelines, Multi-modal LLMs
What You’ll Do
- Providing requirements analysis, system design, Python and AI development, troubleshooting, performance optimization, and technical support
- Designing, developing, and maintaining scalable Python applications using FastAPI and Pydantic
- Implementing asynchronous and parallel programming solutions with asyncio
- Conducting thorough code reviews to ensure adherence to established guidelines and maintain high code quality
- Integrating and experimenting with multi-modal GenAI models (text-to-image, text-to-audio, etc.)
- Working both independently and collaboratively within the team
- Providing clear instructions to team members and helping coordinate day-to-day operations
- Communicating with the client on a regular basis
- Providing technical leadership for the team – mentor, coach, and lead by example
What You Bring
- 5+ years of background in development
- Strong background in Python, FastAPI
- Experience with Pydantic for data validation and schema definition in Python applications
- Hands-on experience with asyncio, asynchronous/parallel programming
- Experience with Generative AI and Large Language Models (LLMs) to solve real-world problems and in developing agentic AI applications to enhance AI interaction
- Understanding of RAG pipelines and hybrid search with vector databases
- Strong analytical and problem-solving abilities with a detail-oriented mindset
- Pragmatic approach to balancing process against flexibility in achieving objectives
- Excellent organizational skills, including the capacity to self-manage, structure work, set priorities, and work to deadlines
- Excellent troubleshooting and communication skills
Nice to have
- Experience working with Azure Cloud services (or other major cloud platforms), including a range of SaaS offerings such as Service Bus, Data Lake, Blob Storage, Redis, and more
- Familiarity with agentic protocols such as MCP and A2A is a strong plus
- Hands-on experience with the LangGraph stack, including long-term memory, human-in-the-loop workflows, and state management, is highly desirable
- Familiarity with .NET is considered a plus
- Hands-on experience with containerization and orchestration tools such as Docker and Kubernetes
- Solid understanding of microservices architecture and its implementation in scalable systems
English level
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 Software Engineer (Python + AI)
Share this job
We are looking for a motivated Senior Software Engineer (Python + AI) who is willing to dive into the new project with a modern stack. If you’re driven by a curiosity to learn and a desire to produce meaningful results, please apply!
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
Our client is one of the Big Four accounting firms and the world’s largest professional services network. Headquartered in London, they operate in 150+ countries with 460,000+ professionals delivering excellence in audit, tax, consulting, and advisory.
The team you will join designs, develops, and deploys innovative enterprise technology and AI-driven tools to support the delivery of tax services. It is a dynamic group combining expertise in tax, software engineering, change management, and project management, working on initiatives from tool design and deployment to training development and engagement management.
Project Tech Stack
Azure Cloud, Microservices Architecture, .NET 8, ASP.NET Core services, Python, MongoDB, Azure SQL, Angular 18, Kendo, GitHub Enterprise with Copilot, LangGraph, LangChain, RAG Pipelines, Multi-modal LLMs
What You’ll Do
- Providing requirements analysis, system design, Python and AI development, troubleshooting, performance optimization, and technical support
- Designing, developing, and maintaining scalable Python applications using FastAPI and Pydantic
- Implementing asynchronous and parallel programming solutions with asyncio
- Conducting thorough code reviews to ensure adherence to established guidelines and maintain high code quality
- Integrating and experimenting with multi-modal GenAI models (text-to-image, text-to-audio, etc.)
- Working both independently and collaboratively within the team
- Providing clear instructions to team members and helping coordinate day-to-day operations
- Communicating with the client on a regular basis
- Providing technical leadership for the team – mentor, coach, and lead by example
What You Bring
- 5+ years of background in development
- Strong background in Python, FastAPI
- Experience with Pydantic for data validation and schema definition in Python applications
- Hands-on experience with asyncio, asynchronous/parallel programming
- Experience with Generative AI and Large Language Models (LLMs) to solve real-world problems and in developing agentic AI applications to enhance AI interaction
- Understanding of RAG pipelines and hybrid search with vector databases
- Strong analytical and problem-solving abilities with a detail-oriented mindset
- Pragmatic approach to balancing process against flexibility in achieving objectives
- Excellent organizational skills, including the capacity to self-manage, structure work, set priorities, and work to deadlines
- Excellent troubleshooting and communication skills
Nice to have
- Experience working with Azure Cloud services (or other major cloud platforms), including a range of SaaS offerings such as Service Bus, Data Lake, Blob Storage, Redis, and more
- Familiarity with agentic protocols such as MCP and A2A is a strong plus
- Hands-on experience with the LangGraph stack, including long-term memory, human-in-the-loop workflows, and state management, is highly desirable
- Familiarity with .NET is considered a plus
- Hands-on experience with containerization and orchestration tools such as Docker and Kubernetes
- Solid understanding of microservices architecture and its implementation in scalable systems
English level
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 Software Engineer (Python + AI)
Share this job
We are looking for a motivated Senior Software Engineer (Python + AI) who is willing to dive into the new project with a modern stack. If you’re driven by a curiosity to learn and a desire to produce meaningful results, please apply!
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
Our client is one of the Big Four accounting firms and the world’s largest professional services network. Headquartered in London, they operate in 150+ countries with 460,000+ professionals delivering excellence in audit, tax, consulting, and advisory.
The team you will join designs, develops, and deploys innovative enterprise technology and AI-driven tools to support the delivery of tax services. It is a dynamic group combining expertise in tax, software engineering, change management, and project management, working on initiatives from tool design and deployment to training development and engagement management.
Project Tech Stack
Azure Cloud, Microservices Architecture, .NET 8, ASP.NET Core services, Python, MongoDB, Azure SQL, Angular 18, Kendo, GitHub Enterprise with Copilot, LangGraph, LangChain, RAG Pipelines, Multi-modal LLMs
What You’ll Do
- Providing requirements analysis, system design, Python and AI development, troubleshooting, performance optimization, and technical support
- Designing, developing, and maintaining scalable Python applications using FastAPI and Pydantic
- Implementing asynchronous and parallel programming solutions with asyncio
- Conducting thorough code reviews to ensure adherence to established guidelines and maintain high code quality
- Integrating and experimenting with multi-modal GenAI models (text-to-image, text-to-audio, etc.)
- Working both independently and collaboratively within the team
- Providing clear instructions to team members and helping coordinate day-to-day operations
- Communicating with the client on a regular basis
- Providing technical leadership for the team – mentor, coach, and lead by example
What You Bring
- 5+ years of background in development
- Strong background in Python, FastAPI
- Experience with Pydantic for data validation and schema definition in Python applications
- Hands-on experience with asyncio, asynchronous/parallel programming
- Experience with Generative AI and Large Language Models (LLMs) to solve real-world problems and in developing agentic AI applications to enhance AI interaction
- Understanding of RAG pipelines and hybrid search with vector databases
- Strong analytical and problem-solving abilities with a detail-oriented mindset
- Pragmatic approach to balancing process against flexibility in achieving objectives
- Excellent organizational skills, including the capacity to self-manage, structure work, set priorities, and work to deadlines
- Excellent troubleshooting and communication skills
Nice to have
- Experience working with Azure Cloud services (or other major cloud platforms), including a range of SaaS offerings such as Service Bus, Data Lake, Blob Storage, Redis, and more
- Familiarity with agentic protocols such as MCP and A2A is a strong plus
- Hands-on experience with the LangGraph stack, including long-term memory, human-in-the-loop workflows, and state management, is highly desirable
- Familiarity with .NET is considered a plus
- Hands-on experience with containerization and orchestration tools such as Docker and Kubernetes
- Solid understanding of microservices architecture and its implementation in scalable systems
English level
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 Software Engineer (Python + AI)
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
Our client is one of the Big Four accounting firms and the world’s largest professional services network. Headquartered in London, they operate in 150+ countries with 460,000+ professionals delivering excellence in audit, tax, consulting, and advisory.
The team you will join designs, develops, and deploys innovative enterprise technology and AI-driven tools to support the delivery of tax services. It is a dynamic group combining expertise in tax, software engineering, change management, and project management, working on initiatives from tool design and deployment to training development and engagement management.
Project Tech Stack
Azure Cloud, Microservices Architecture, .NET 8, ASP.NET Core services, Python, MongoDB, Azure SQL, Angular 18, Kendo, GitHub Enterprise with Copilot, LangGraph, LangChain, RAG Pipelines, Multi-modal LLMs
What You’ll Do
- Providing requirements analysis, system design, Python and AI development, troubleshooting, performance optimization, and technical support
- Designing, developing, and maintaining scalable Python applications using FastAPI and Pydantic
- Implementing asynchronous and parallel programming solutions with asyncio
- Conducting thorough code reviews to ensure adherence to established guidelines and maintain high code quality
- Integrating and experimenting with multi-modal GenAI models (text-to-image, text-to-audio, etc.)
- Working both independently and collaboratively within the team
- Providing clear instructions to team members and helping coordinate day-to-day operations
- Communicating with the client on a regular basis
- Providing technical leadership for the team – mentor, coach, and lead by example
What You Bring
- 5+ years of background in development
- Strong background in Python, FastAPI
- Experience with Pydantic for data validation and schema definition in Python applications
- Hands-on experience with asyncio, asynchronous/parallel programming
- Experience with Generative AI and Large Language Models (LLMs) to solve real-world problems and in developing agentic AI applications to enhance AI interaction
- Understanding of RAG pipelines and hybrid search with vector databases
- Strong analytical and problem-solving abilities with a detail-oriented mindset
- Pragmatic approach to balancing process against flexibility in achieving objectives
- Excellent organizational skills, including the capacity to self-manage, structure work, set priorities, and work to deadlines
- Excellent troubleshooting and communication skills
Nice to have
- Experience working with Azure Cloud services (or other major cloud platforms), including a range of SaaS offerings such as Service Bus, Data Lake, Blob Storage, Redis, and more
- Familiarity with agentic protocols such as MCP and A2A is a strong plus
- Hands-on experience with the LangGraph stack, including long-term memory, human-in-the-loop workflows, and state management, is highly desirable
- Familiarity with .NET is considered a plus
- Hands-on experience with containerization and orchestration tools such as Docker and Kubernetes
- Solid understanding of microservices architecture and its implementation in scalable systems
English level
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)
Senior Software Engineer (Python + AI)
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
Our client is one of the Big Four accounting firms and the world’s largest professional services network. Headquartered in London, they operate in 150+ countries with 460,000+ professionals delivering excellence in audit, tax, consulting, and advisory.
The team you will join designs, develops, and deploys innovative enterprise technology and AI-driven tools to support the delivery of tax services. It is a dynamic group combining expertise in tax, software engineering, change management, and project management, working on initiatives from tool design and deployment to training development and engagement management.
Project Tech Stack
Azure Cloud, Microservices Architecture, .NET 8, ASP.NET Core services, Python, MongoDB, Azure SQL, Angular 18, Kendo, GitHub Enterprise with Copilot, LangGraph, LangChain, RAG Pipelines, Multi-modal LLMs
What You’ll Do
- Providing requirements analysis, system design, Python and AI development, troubleshooting, performance optimization, and technical support
- Designing, developing, and maintaining scalable Python applications using FastAPI and Pydantic
- Implementing asynchronous and parallel programming solutions with asyncio
- Conducting thorough code reviews to ensure adherence to established guidelines and maintain high code quality
- Integrating and experimenting with multi-modal GenAI models (text-to-image, text-to-audio, etc.)
- Working both independently and collaboratively within the team
- Providing clear instructions to team members and helping coordinate day-to-day operations
- Communicating with the client on a regular basis
- Providing technical leadership for the team – mentor, coach, and lead by example
What You Bring
- 5+ years of background in development
- Strong background in Python, FastAPI
- Experience with Pydantic for data validation and schema definition in Python applications
- Hands-on experience with asyncio, asynchronous/parallel programming
- Experience with Generative AI and Large Language Models (LLMs) to solve real-world problems and in developing agentic AI applications to enhance AI interaction
- Understanding of RAG pipelines and hybrid search with vector databases
- Strong analytical and problem-solving abilities with a detail-oriented mindset
- Pragmatic approach to balancing process against flexibility in achieving objectives
- Excellent organizational skills, including the capacity to self-manage, structure work, set priorities, and work to deadlines
- Excellent troubleshooting and communication skills
Nice to have
- Experience working with Azure Cloud services (or other major cloud platforms), including a range of SaaS offerings such as Service Bus, Data Lake, Blob Storage, Redis, and more
- Familiarity with agentic protocols such as MCP and A2A is a strong plus
- Hands-on experience with the LangGraph stack, including long-term memory, human-in-the-loop workflows, and state management, is highly desirable
- Familiarity with .NET is considered a plus
- Hands-on experience with containerization and orchestration tools such as Docker and Kubernetes
- Solid understanding of microservices architecture and its implementation in scalable systems
English level
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 Software Engineer (Python + AI)
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
Our client is one of the Big Four accounting firms and the world’s largest professional services network. Headquartered in London, they operate in 150+ countries with 460,000+ professionals delivering excellence in audit, tax, consulting, and advisory.
The team you will join designs, develops, and deploys innovative enterprise technology and AI-driven tools to support the delivery of tax services. It is a dynamic group combining expertise in tax, software engineering, change management, and project management, working on initiatives from tool design and deployment to training development and engagement management.
Project Tech Stack
Azure Cloud, Microservices Architecture, .NET 8, ASP.NET Core services, Python, MongoDB, Azure SQL, Angular 18, Kendo, GitHub Enterprise with Copilot, LangGraph, LangChain, RAG Pipelines, Multi-modal LLMs
What You’ll Do
- Providing requirements analysis, system design, Python and AI development, troubleshooting, performance optimization, and technical support
- Designing, developing, and maintaining scalable Python applications using FastAPI and Pydantic
- Implementing asynchronous and parallel programming solutions with asyncio
- Conducting thorough code reviews to ensure adherence to established guidelines and maintain high code quality
- Integrating and experimenting with multi-modal GenAI models (text-to-image, text-to-audio, etc.)
- Working both independently and collaboratively within the team
- Providing clear instructions to team members and helping coordinate day-to-day operations
- Communicating with the client on a regular basis
- Providing technical leadership for the team – mentor, coach, and lead by example
What You Bring
- 5+ years of background in development
- Strong background in Python, FastAPI
- Experience with Pydantic for data validation and schema definition in Python applications
- Hands-on experience with asyncio, asynchronous/parallel programming
- Experience with Generative AI and Large Language Models (LLMs) to solve real-world problems and in developing agentic AI applications to enhance AI interaction
- Understanding of RAG pipelines and hybrid search with vector databases
- Strong analytical and problem-solving abilities with a detail-oriented mindset
- Pragmatic approach to balancing process against flexibility in achieving objectives
- Excellent organizational skills, including the capacity to self-manage, structure work, set priorities, and work to deadlines
- Excellent troubleshooting and communication skills
Nice to have
- Experience working with Azure Cloud services (or other major cloud platforms), including a range of SaaS offerings such as Service Bus, Data Lake, Blob Storage, Redis, and more
- Familiarity with agentic protocols such as MCP and A2A is a strong plus
- Hands-on experience with the LangGraph stack, including long-term memory, human-in-the-loop workflows, and state management, is highly desirable
- Familiarity with .NET is considered a plus
- Hands-on experience with containerization and orchestration tools such as Docker and Kubernetes
- Solid understanding of microservices architecture and its implementation in scalable systems
English level
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 Software Engineer (Python + AI)
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
Our client is one of the Big Four accounting firms and the world’s largest professional services network. Headquartered in London, they operate in 150+ countries with 460,000+ professionals delivering excellence in audit, tax, consulting, and advisory.
The team you will join designs, develops, and deploys innovative enterprise technology and AI-driven tools to support the delivery of tax services. It is a dynamic group combining expertise in tax, software engineering, change management, and project management, working on initiatives from tool design and deployment to training development and engagement management.
Project Tech Stack
Azure Cloud, Microservices Architecture, .NET 8, ASP.NET Core services, Python, MongoDB, Azure SQL, Angular 18, Kendo, GitHub Enterprise with Copilot, LangGraph, LangChain, RAG Pipelines, Multi-modal LLMs
What You’ll Do
- Providing requirements analysis, system design, Python and AI development, troubleshooting, performance optimization, and technical support
- Designing, developing, and maintaining scalable Python applications using FastAPI and Pydantic
- Implementing asynchronous and parallel programming solutions with asyncio
- Conducting thorough code reviews to ensure adherence to established guidelines and maintain high code quality
- Integrating and experimenting with multi-modal GenAI models (text-to-image, text-to-audio, etc.)
- Working both independently and collaboratively within the team
- Providing clear instructions to team members and helping coordinate day-to-day operations
- Communicating with the client on a regular basis
- Providing technical leadership for the team – mentor, coach, and lead by example
What You Bring
- 5+ years of background in development
- Strong background in Python, FastAPI
- Experience with Pydantic for data validation and schema definition in Python applications
- Hands-on experience with asyncio, asynchronous/parallel programming
- Experience with Generative AI and Large Language Models (LLMs) to solve real-world problems and in developing agentic AI applications to enhance AI interaction
- Understanding of RAG pipelines and hybrid search with vector databases
- Strong analytical and problem-solving abilities with a detail-oriented mindset
- Pragmatic approach to balancing process against flexibility in achieving objectives
- Excellent organizational skills, including the capacity to self-manage, structure work, set priorities, and work to deadlines
- Excellent troubleshooting and communication skills
Nice to have
- Experience working with Azure Cloud services (or other major cloud platforms), including a range of SaaS offerings such as Service Bus, Data Lake, Blob Storage, Redis, and more
- Familiarity with agentic protocols such as MCP and A2A is a strong plus
- Hands-on experience with the LangGraph stack, including long-term memory, human-in-the-loop workflows, and state management, is highly desirable
- Familiarity with .NET is considered a plus
- Hands-on experience with containerization and orchestration tools such as Docker and Kubernetes
- Solid understanding of microservices architecture and its implementation in scalable systems
English level
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
Realize your potential by joining the leading performance-driven advertising company!
You will be an essential pivotal engineer within the advertiser professional services tech solutions group, leading at least one area of expertise as the highest level of technical escalation and management, owning it end-to-end.
To thrive in this role, you'll need:
- 3+ years of experience in 2nd level support / 1+ years of experience in 3rd level support.
- Advanced technical orientation and understanding - familiarity with architectural design and flows, relations between frontend and backend services, reading code.
- Proficiency in troubleshooting methodologies - web, DB, analytics, APIs/SDKs, logs.
- Ability to analyze operational data and provide actionable insights.
- Project management capabilities - time management, activity tracking, progress and insights reporting.
- Excellent written and verbal skills in English - technical summaries, training material, emails, face-to-face meetings.
- Service quality awareness and empathy.
- AI and automation experience, mainly around support flow automation and knowledge content creation - significant advantage.
Bonus points if you have:
- Experience with ad-tech (particularly advertiser side).
- Innovative thinking.
How you’ll make an impact:
As a Professional Services Subject Matter Expert, you’ll bring value by:
- Perform in-depth troubleshooting of the most complex support issues in your SME area/s, requiring expert understanding of Taboola features and architecture.
- Be an escalation point for burning issues within and outside your primary SME area/s.
- Provide assistance and consultation to lower level support teams, as well as other groups that see you as the go-to-person.
- Analyze operational aspects of your SME area/s and share actionable insights with top management. Preferably use AI for faster and higher quality results.
- Create and provide training and knowledge material - new feature introduction, troubleshooting methodologies and tools, technical summaries, courses and quizzes creation. Preferably use AI for faster and higher quality results.
Interact with our NPI (new product introduction) Specialist for logistical aspects related to new features. - Perform periodic meetings with Product and R&D regarding issue prioritization, new features and supportability requirements.
- Cooperate and coordinate with additional groups within professional services, support, sales, account management and more.
- Identify and work to close gaps of knowledge, work methodologies, supportability, processes and opportunities for automation.
- Manage ad-hoc strategic activities and projects related to your area of expertise, outside of technical case handling or content creation.
Why Taboola?
If you ask Taboolars what they love about working here, they’ll tell you that they’ve been empowered to realize their full potential while growing and learning from and with smart and talented people. They’ll also share more about:
- Adam Singolda, Taboola Founder and CEO says; “You can copy anything from another business but you can’t copy a company’s culture.
- Well-being: Enjoy comprehensive benefits (health, dental, vision, 401k matching), pre-tax commuter benefits, a fully stocked kitchen, and various gym partnerships.
- Flexibility: We offer a hybrid work schedule with 3 days in-office with an option to come in more often if desired.
- Work with some of the biggest names: We work with some of the biggest names in the business. Our publisher partners include Yahoo, Conde Nast, Fox Sports, NBCU, ESPN, CBS, and E! Online. Our advertiser clients include Wells Fargo, Honda, Pinterest, Expedia and Honda.
Ready to realize your potential?
Taboola is an equal opportunity employer and we value diversity in all forms. We are committed to creating an inclusive environment for all employees and believe such an environment is critical for success. Employment is decided on the basis of qualifications, merit, and business need.
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About Taboola
Taboola empowers businesses to grow through performance advertising technology that goes beyond search and social and delivers measurable outcomes at scale.
Taboola works with thousands of businesses who advertise directly on Realize, Taboola’s powerful ad platform, reaching approximately 600M daily active users across some of the best publishers in the world. Publishers like NBC News, Yahoo, and OEMs such as Samsung, Xiaomi and others use Taboola’s technology to grow audience and revenue, enabling Realize to offer unique data, specialized algorithms, and unmatched scale.
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