ABOUT THE ROLE:

We are establishing a dedicated team of AI Engineers to serve as a long-term strategic AI partner to one of the most influential AI organizations in the Middle East, headquartered in the UAE. This team will work closely with a highly ambitious client operating at the forefront of AI adoption across the region, supporting a continuously evolving pipeline of AI-driven initiatives.

As a Principal AI Engineer, you will work directly with customer leadership, technical teams, and internal stakeholders to deeply understand complex use cases and design, build, and deploy impactful AI solutions. This role blends hands-on engineering, AI system design, and customer-facing strategy—similar in scope to a hands-on AI startup CTO.

Rather than supporting a single static product, you will work across multiple domains and initiatives as new opportunities emerge. The Middle East’s strong national investment in AI creates a unique environment where experimentation, ambition, and real-world impact are expected, not optional.

WHAT MAKES THIS ROLE UNIQUE:

• A long-term strategic partnership, not short-term consulting.
• Exposure to large-scale, high-impact AI initiatives across sectors such as government, healthcare, energy, smart cities, and advanced research.
• The opportunity to design and deploy AI systems in an environment prioritizing speed, innovation, and real-world outcomes.
• A high-trust, fast-moving setting where engineers have meaningful ownership and influence.

RESPONSIBILITIES:

Customer Engagement & AI Strategy

• Partner closely with client stakeholders to understand strategic objectives, technical requirements, and operational constraints.
• Act as a trusted advisor on AI strategy, helping customers identify, prioritize, and implement high-impact generative and agentic AI use cases.
• Lead workshops, technical deep dives, and brainstorming sessions to translate business needs into AI-driven solutions.

AI Solution Design & Delivery

• Design, prototype, and deploy AI-powered proofs of concept (PoCs) and production solutions using generative AI models, agentic systems, and LLM workflows.
• Build end-to-end AI pipelines, from data ingestion to deployment, ensuring scalability, security, and performance on modern infrastructure.
• Implement solutions using the latest AI models and techniques, driving tangible business outcomes for the client.

Iterative Prototyping & Experimentation

• Use an experiment-driven approach to rapidly test hypotheses, iterate on designs, and refine solutions in collaboration with client teams.
• Explore and apply cutting-edge techniques in areas such as NLP, computer vision, reinforcement learning, and multi-agent systems.
• Develop reusable frameworks, patterns, and tools to accelerate AI delivery across future initiatives.

Cross-Functional Collaboration

• Work closely with Sales, Solutions Engineering, Solutions Architects, Applied Research, Product, and Customer Success teams supporting the same account.
• Provide structured feedback from customer engagements to influence internal product and platform development.

Knowledge Sharing & Mentorship

• Document best practices, architectures, and lessons learned from deployments to strengthen internal delivery capabilities.
• Mentor junior engineers on applying generative and agentic AI technologies in real-world, enterprise environments.

REQUIREMENTS:

Technical Expertise

• Strong proficiency in Python and/or JavaScript, with experience using ML frameworks such as PyTorch or TensorFlow.
• Hands-on experience with generative AI models (e.g., GPT-4/5), LLM-based systems, agentic workflows, or reinforcement learning frameworks.
• Experience deploying AI/ML systems into production using cloud platforms (AWS, Azure) or on-premise infrastructure.

Problem Solving & Systems Thinking

• Proven ability to translate ambiguous business challenges into concrete, scalable AI solutions.
• Strong analytical skills to evaluate model performance and optimize systems for real-world constraints.

Client-Facing & Communication Skills

• Excellent communication skills, with the ability to explain complex AI concepts to both technical and non-technical stakeholders.
• Comfort operating in ambiguous, high-stakes environments while building trust-based client relationships.

Adaptability & Mindset

• Ability to work across multiple industries and domains, tailoring AI solutions to different contexts.
• Entrepreneurial mindset with a focus on ownership, execution, and measurable impact.
• Willingness to travel or work on-site with clients as required.

Education & Experience

• Bachelor’s degree in Computer Science or a related field, or equivalent practical experience.
• 3+ years of experience in software engineering, applied machine learning, or AI-focused roles.
• Prior experience working directly with customers on AI-driven applications is highly desirable.
• Passion for staying at the forefront of generative and agentic AI advancements and applying them pragmatically.

WHY THIS ROLE:

This role is ideal for engineers who thrive at the intersection of deep technical work, customer engagement, and real-world impact. As a Forward Deployed AI Engineer, you will help shape how AI is adopted at scale in one of the most ambitious and fast-growing AI regions globally—while growing alongside a client whose challenges and opportunities will continuously evolve.

BENEFITS

• You will work with amazing teammates from across Europe.
• Take a leading role in our newly-established Bulgarian center, contributing to the foundation of our future.
• Our Sofia office is right in the center, ensuring that everything you need is close by.
• Monthly transport allowance and enjoy the convenience of a dedicated parking area at the office.
• Enjoy 25 days of paid leave, we make sure you have plenty of time to relax and recharge.
• We’ve got you covered with additional premium health insurance and dental care, to keep you and your family protected.
• We offer food vouchers and to add a little extra you can enjoy complimentary meals in the office.
• Fully covered Multisport card that gives you access to a variety of fitness options to keep you active and feeling great.
• We support your growth with certifications and courses that help you advance your career.
• Join us for Social Events, Informal Office Gatherings and Team-building activities with your colleagues, where we celebrate our achievements together.
• We’ll work with you on an individual plan to help you reach your career goals.
• Benefit from our coaching and mentorship programs, technological and professional guilds that offer guidance and support for your career journey.
• Participate in various social initiatives, contributing to causes that matter to you.
• Use our online platform, dedicated to your well-being and mental health.
• Enjoy the flexibility of our Work Abroad Policy, letting you work from another European country for a period of time.
• Refer a Friend, Get Rewarded.

ABOUT THE ROLE:

We are establishing a dedicated team of AI Engineers to serve as a long-term strategic AI partner to one of the most influential AI organizations in the Middle East, headquartered in the UAE. This team will work closely with a highly ambitious client operating at the forefront of AI adoption across the region, supporting a continuously evolving pipeline of AI-driven initiatives.

As an Senior AI Engineer, you will work directly with customer leadership, technical teams, and internal stakeholders to deeply understand complex use cases and design, build, and deploy impactful AI solutions. This role blends hands-on engineering, AI system design, and customer-facing strategy—similar in scope to a hands-on AI startup CTO.

Rather than supporting a single static product, you will work across multiple domains and initiatives as new opportunities emerge. The Middle East’s strong national investment in AI creates a unique environment where experimentation, ambition, and real-world impact are expected, not optional.

WHAT MAKES THIS ROLE UNIQUE:

• A long-term strategic partnership, not short-term consulting.
• Exposure to large-scale, high-impact AI initiatives across sectors such as government, healthcare, energy, smart cities, and advanced research.
• The opportunity to design and deploy AI systems in an environment prioritizing speed, innovation, and real-world outcomes.
• A high-trust, fast-moving setting where engineers have meaningful ownership and influence.

RESPONSIBILITIES:

Customer Engagement & AI Strategy

• Partner closely with client stakeholders to understand strategic objectives, technical requirements, and operational constraints.
• Act as a trusted advisor on AI strategy, helping customers identify, prioritize, and implement high-impact generative and agentic AI use cases.
• Lead workshops, technical deep dives, and brainstorming sessions to translate business needs into AI-driven solutions.

AI Solution Design & Delivery

• Design, prototype, and deploy AI-powered proofs of concept (PoCs) and production solutions using generative AI models, agentic systems, and LLM workflows.
• Build end-to-end AI pipelines, from data ingestion to deployment, ensuring scalability, security, and performance on modern infrastructure.
• Implement solutions using the latest AI models and techniques, driving tangible business outcomes for the client.

Iterative Prototyping & Experimentation

• Use an experiment-driven approach to rapidly test hypotheses, iterate on designs, and refine solutions in collaboration with client teams.
• Explore and apply cutting-edge techniques in areas such as NLP, computer vision, reinforcement learning, and multi-agent systems.
• Develop reusable frameworks, patterns, and tools to accelerate AI delivery across future initiatives.

Cross-Functional Collaboration

• Work closely with Sales, Solutions Engineering, Solutions Architects, Applied Research, Product, and Customer Success teams supporting the same account.
• Provide structured feedback from customer engagements to influence internal product and platform development.

Knowledge Sharing & Mentorship

• Document best practices, architectures, and lessons learned from deployments to strengthen internal delivery capabilities.
• Mentor junior engineers on applying generative and agentic AI technologies in real-world, enterprise environments.

REQUIREMENTS:

Technical Expertise

• Strong proficiency in Python and/or JavaScript, with experience using ML frameworks such as PyTorch or TensorFlow.
• Hands-on experience with generative AI models (e.g., GPT-4/5), LLM-based systems, agentic workflows, or reinforcement learning frameworks.
• Experience deploying AI/ML systems into production using cloud platforms (AWS, Azure) or on-premise infrastructure.

Problem Solving & Systems Thinking

• Proven ability to translate ambiguous business challenges into concrete, scalable AI solutions.
• Strong analytical skills to evaluate model performance and optimize systems for real-world constraints.

Client-Facing & Communication Skills

• Excellent communication skills, with the ability to explain complex AI concepts to both technical and non-technical stakeholders.
• Comfort operating in ambiguous, high-stakes environments while building trust-based client relationships.

Adaptability & Mindset

• Ability to work across multiple industries and domains, tailoring AI solutions to different contexts.
• Entrepreneurial mindset with a focus on ownership, execution, and measurable impact.
• Willingness to travel or work on-site with clients as required.

Education & Experience

• Bachelor’s degree in Computer Science or a related field, or equivalent practical experience.
• 3+ years of experience in software engineering, applied machine learning, or AI-focused roles.
• Prior experience working directly with customers on AI-driven applications is highly desirable.
• Passion for staying at the forefront of generative and agentic AI advancements and applying them pragmatically.

WHY THIS ROLE:

This role is ideal for engineers who thrive at the intersection of deep technical work, customer engagement, and real-world impact. As a Senior AI Engineer, you will help shape how AI is adopted at scale in one of the most ambitious and fast-growing AI regions globally—while growing alongside a client whose challenges and opportunities will continuously evolve.

BENEFITS

• You will work with amazing teammates from across Europe.
• Take a leading role in our newly-established Bulgarian center, contributing to the foundation of our future.
• Our Sofia office is right in the center, ensuring that everything you need is close by.
• Monthly transport allowance and enjoy the convenience of a dedicated parking area at the office.
• Enjoy 25 days of paid leave, we make sure you have plenty of time to relax and recharge.
• We’ve got you covered with additional premium health insurance and dental care, to keep you and your family protected.
• We offer food vouchers and to add a little extra you can enjoy complimentary meals in the office.
• Fully covered Multisport card that gives you access to a variety of fitness options to keep you active and feeling great.
• We support your growth with certifications and courses that help you advance your career.
• Join us for Social Events, Informal Office Gatherings and Team-building activities with your colleagues, where we celebrate our achievements together.
• We’ll work with you on an individual plan to help you reach your career goals.
• Benefit from our coaching and mentorship programs, technological and professional guilds that offer guidance and support for your career journey.
• Participate in various social initiatives, contributing to causes that matter to you.
• Use our online platform, dedicated to your well-being and mental health.
• Enjoy the flexibility of our Work Abroad Policy, letting you work from another European country for a period of time.
• Refer a Friend, Get Rewarded.

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.

Project Duration  

6-month engagement with the possibility of extension

What You’ll Do  

• Lead structured technical discovery with the hardware and platform engineering teams to establish the API surface, platform readiness, and target workload definitions
• Author the Architecture Decision Record (ADR) documenting the integration approach, technology choices, and key design decisions
• Define the requirements baseline, functional and non-functional, and produce the risk register
• Negotiate and agree the revised Statement of Work for Phases 1 and 2 with the client
• Establish the reference workload definition and benchmark criteria to be used through the POC
• Maintain technical governance and architectural coherence across the integration build
• Direct the engineering team on component delivery: workload adapter, hardware dispatch client, telemetry bridge, and any required platform-side changes
• Manage the client relationship on a day-to-day basis: progress reporting, risk escalation, and gate reviews
• Review and sign off integration components before gate conditions are assessed
• Lead knowledge transfer and runbook acceptance sessions with client engineering teams
• Support the customer Proof of Value demonstration in an advisory capacity

What You Bring 

• Demonstrable background in cloud platform architecture, distributed systems, and API design — REST and gRPC in particular
• Experience integrating third-party hardware or specialised compute into cloud scheduling and resource management layers
• Familiarity with workload orchestration: Kubernetes, custom schedulers, resource plugins, or equivalent
• Working knowledge of observability tooling: OpenTelemetry, Prometheus, Grafana, or comparable stacks
• Comfort operating across the full stack, from infrastructure (IaC, networking, cloud providers) to API and platform layers
• SRE background or equivalent: SLO definition, telemetry design, incident response, and operational documentation
• Ability to design for observability and failure modes from the outset, not as a post-build afterthought
• Experience producing runbooks and operational documentation for technical handover
• Proven ability to lead client-facing technical engagements, managing expectations, communicating risk, and maintaining trust in ambiguous early-stage programmes
• Comfortable working with non-traditional technical counterparts, such as hardware scientists who may not be experienced platform API producers
• Skilled at structured requirements elicitation under significant uncertainty — able to extract requirements through interviews, prototypes, and reference examples rather than documentation
• Experience producing Architecture Decision Records, revised SOW documents, and risk registers as formal engagement outputs
• Experience operating as a senior contractor or fractional leader, comfortable with part-time engagement structures and accountability for commercial gate conditions without full-time oversight
• Able to take ownership of engagement quality and client confidence independently

Nice to Have

• Prior exposure to custom silicon, FPGA integration, or specialised AI accelerator hardware
• Experience in sovereign cloud, data sovereignty, or regulated compute environments
• Familiarity with AI/ML workload types: inference serving, training pipelines, batch processing
• Experience with M2M identity, workload authentication, and platform governance patterns
• Background in early-stage or venture-backed technology companies where engineering rigour and commercial pragmatism must coexist

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.

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.

Project Duration  

6-month engagement with the possibility of extension

What You’ll Do  

• Lead structured technical discovery with the hardware and platform engineering teams to establish the API surface, platform readiness, and target workload definitions
• Author the Architecture Decision Record (ADR) documenting the integration approach, technology choices, and key design decisions
• Define the requirements baseline, functional and non-functional, and produce the risk register
• Negotiate and agree the revised Statement of Work for Phases 1 and 2 with the client
• Establish the reference workload definition and benchmark criteria to be used through the POC
• Maintain technical governance and architectural coherence across the integration build
• Direct the engineering team on component delivery: workload adapter, hardware dispatch client, telemetry bridge, and any required platform-side changes
• Manage the client relationship on a day-to-day basis: progress reporting, risk escalation, and gate reviews
• Review and sign off integration components before gate conditions are assessed
• Lead knowledge transfer and runbook acceptance sessions with client engineering teams
• Support the customer Proof of Value demonstration in an advisory capacity

What You Bring 

• Demonstrable background in cloud platform architecture, distributed systems, and API design — REST and gRPC in particular
• Experience integrating third-party hardware or specialised compute into cloud scheduling and resource management layers
• Familiarity with workload orchestration: Kubernetes, custom schedulers, resource plugins, or equivalent
• Working knowledge of observability tooling: OpenTelemetry, Prometheus, Grafana, or comparable stacks
• Comfort operating across the full stack, from infrastructure (IaC, networking, cloud providers) to API and platform layers
• SRE background or equivalent: SLO definition, telemetry design, incident response, and operational documentation
• Ability to design for observability and failure modes from the outset, not as a post-build afterthought
• Experience producing runbooks and operational documentation for technical handover
• Proven ability to lead client-facing technical engagements, managing expectations, communicating risk, and maintaining trust in ambiguous early-stage programmes
• Comfortable working with non-traditional technical counterparts, such as hardware scientists who may not be experienced platform API producers
• Skilled at structured requirements elicitation under significant uncertainty — able to extract requirements through interviews, prototypes, and reference examples rather than documentation
• Experience producing Architecture Decision Records, revised SOW documents, and risk registers as formal engagement outputs
• Experience operating as a senior contractor or fractional leader, comfortable with part-time engagement structures and accountability for commercial gate conditions without full-time oversight
• Able to take ownership of engagement quality and client confidence independently

Nice to Have

• Prior exposure to custom silicon, FPGA integration, or specialised AI accelerator hardware
• Experience in sovereign cloud, data sovereignty, or regulated compute environments
• Familiarity with AI/ML workload types: inference serving, training pipelines, batch processing
• Experience with M2M identity, workload authentication, and platform governance patterns
• Background in early-stage or venture-backed technology companies where engineering rigour and commercial pragmatism must coexist

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.

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.

Project Duration  

6-month engagement with the possibility of extension

What You’ll Do  

• Lead structured technical discovery with the hardware and platform engineering teams to establish the API surface, platform readiness, and target workload definitions
• Author the Architecture Decision Record (ADR) documenting the integration approach, technology choices, and key design decisions
• Define the requirements baseline, functional and non-functional, and produce the risk register
• Negotiate and agree the revised Statement of Work for Phases 1 and 2 with the client
• Establish the reference workload definition and benchmark criteria to be used through the POC
• Maintain technical governance and architectural coherence across the integration build
• Direct the engineering team on component delivery: workload adapter, hardware dispatch client, telemetry bridge, and any required platform-side changes
• Manage the client relationship on a day-to-day basis: progress reporting, risk escalation, and gate reviews
• Review and sign off integration components before gate conditions are assessed
• Lead knowledge transfer and runbook acceptance sessions with client engineering teams
• Support the customer Proof of Value demonstration in an advisory capacity

What You Bring 

• Demonstrable background in cloud platform architecture, distributed systems, and API design — REST and gRPC in particular
• Experience integrating third-party hardware or specialised compute into cloud scheduling and resource management layers
• Familiarity with workload orchestration: Kubernetes, custom schedulers, resource plugins, or equivalent
• Working knowledge of observability tooling: OpenTelemetry, Prometheus, Grafana, or comparable stacks
• Comfort operating across the full stack, from infrastructure (IaC, networking, cloud providers) to API and platform layers
• SRE background or equivalent: SLO definition, telemetry design, incident response, and operational documentation
• Ability to design for observability and failure modes from the outset, not as a post-build afterthought
• Experience producing runbooks and operational documentation for technical handover
• Proven ability to lead client-facing technical engagements, managing expectations, communicating risk, and maintaining trust in ambiguous early-stage programmes
• Comfortable working with non-traditional technical counterparts, such as hardware scientists who may not be experienced platform API producers
• Skilled at structured requirements elicitation under significant uncertainty — able to extract requirements through interviews, prototypes, and reference examples rather than documentation
• Experience producing Architecture Decision Records, revised SOW documents, and risk registers as formal engagement outputs
• Experience operating as a senior contractor or fractional leader, comfortable with part-time engagement structures and accountability for commercial gate conditions without full-time oversight
• Able to take ownership of engagement quality and client confidence independently

Nice to Have

• Prior exposure to custom silicon, FPGA integration, or specialised AI accelerator hardware
• Experience in sovereign cloud, data sovereignty, or regulated compute environments
• Familiarity with AI/ML workload types: inference serving, training pipelines, batch processing
• Experience with M2M identity, workload authentication, and platform governance patterns
• Background in early-stage or venture-backed technology companies where engineering rigour and commercial pragmatism must coexist

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

About the Role:
We’re looking for a Backend Engineer to contribute to a next-generation security initiative. You’ll be part of a small, highly technical team working on novel approaches to secure systems - with a focus on cryptography, automation, and AI-powered analysis. You’ll work closely with senior engineers and contribute hands-on to the codebase across the stack. This role involves hands-on development, learning opportunities, and collaboration across engineering, product, and design.

Day to Day:

• Contribute to the design, development, and delivery of features across the product
• Write clean, maintainable code for back-end systems deployed in AWS or GCP
• Collaborate with AI and cryptography specialists
• Work with the product manager to understand requirements and help the team plan architecture, data flows, API specs, and testing strategies
• Follow established engineering practices and participate in team discussions around process and quality
• Participate in customer-driven development and iterate based on feedback
• Write automated tests for load, performance, and error handling

What you bring to the table:

• 3+ years of hands-on software engineering experience for backend development
• Excellent TypeScript and Node.js coding experience
• AWS experience in containers (EKS, ECS) and serverless systems
• Relational, key/value, and graph datastore experience with schema management
• API design, data modeling, secure service development, database systems
• Has a focus on quality code, error handling, and high availability
• A thoughtful, pragmatic approach to solving technical problems in a fast-paced environment
• At least upper-intermediate level of spoken and written English

Extra Credit:

• Versed in Python coding and environments
• Experience with GCP systems
• Experience with applied cryptography, especially key management, TLS, or post-quantum algorithms
• Familiarity with agent-based architectures or systems that scan and orchestrate actions across distributed environments
• Knowledge of AI/ML systems, particularly LLM integration or agent-style reasoning patterns
• Experience managing LLM agents to increase both speed and quality of code generation and tests
• Exposure to security tools, vulnerability detection platforms, or compliance automation
• Prior experience working on developer-facing or infrastructure-heavy products

We are looking for a Senior Software Engineer, AI Automations, to join our team. In this role, you will take part in the design and development of internal tools, workflow automations, and AI-powered applications that support internal offerings and sales enablement. This is a hands-on engineering role for someone who is equally comfortable building backend services, designing integrations, and delivering polished user-facing tools. You will work closely with data scientists and cross-functional stakeholders to turn ideas into reliable production systems.

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.

What You’ll Do:

• Design, build, and maintain internal applications, automations, and AI-powered workflows
• Develop backend services and APIs in Python, Java Script (Node) and/or related technologies
• Build user-facing tools and dashboards using React
• Integrate LLMs and external services into business workflows using platforms such as OpenAI, Gemini, AWS, and GCP
• Partner with data scientists to productionize prototypes and analytical solutions
• Improve the architecture, reliability, testing, observability, and deployment of team-owned systems
• Work with stakeholders across business, operations, and sales to understand pain points and translate them into practical solutions
• Identify opportunities to automate repetitive work and streamline internal processes
• Establish engineering best practices for code quality, system design, CI/CD, and documentation
• Mentor other engineers and help raise the overall engineering bar of the team

What You Bring:

• 7+ years of software engineering experience, with strong experience building production systems
• Strong backend engineering skills, ideally in Python
• Experience building modern web applications with React
• Experience designing and consuming APIs, integrating third-party services, and building automation workflows
• Solid understanding of software architecture, system design, and scalable application development
• Experience working with cloud platforms such as AWS, GCP, or Azure
• Experience with containers, deployment pipelines, and engineering best practices in production environments
• Familiarity with LLM-based application development, including tools and APIs such as OpenAI, Gemini, or similar platforms
• Ability to evaluate where AI is useful in a workflow and where traditional engineering patterns are the better solution
• Strong communication skills and the ability to work directly with technical and non-technical stakeholders
• Proven ability to move from ambiguous business needs to working software

Nice to Have:

• Experience with workflow orchestration and automation tooling
• Experience building internal tools, sales enablement systems, or operational platforms
• Familiarity with vector databases, retrieval pipelines, agentic workflows, or prompt design
• Experience with asynchronous processing, task queues, and event-driven systems
• Exposure to analytics, experimentation, or collaboration with data science / ML teams
• Familiarity with Postgres and other common data storage technologies
• Experience with observability, monitoring, and production support
• Background in SaaS, enterprise platforms, or customer-facing solution engineering

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.

We are looking for a Senior Software Engineer, AI Automations, to join our team. In this role, you will take part in the design and development of internal tools, workflow automations, and AI-powered applications that support internal offerings and sales enablement. This is a hands-on engineering role for someone who is equally comfortable building backend services, designing integrations, and delivering polished user-facing tools. You will work closely with data scientists and cross-functional stakeholders to turn ideas into reliable production systems.

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.

What You’ll Do:

• Design, build, and maintain internal applications, automations, and AI-powered workflows
• Develop backend services and APIs in Python, Java Script (Node) and/or related technologies
• Build user-facing tools and dashboards using React
• Integrate LLMs and external services into business workflows using platforms such as OpenAI, Gemini, AWS, and GCP
• Partner with data scientists to productionize prototypes and analytical solutions
• Improve the architecture, reliability, testing, observability, and deployment of team-owned systems
• Work with stakeholders across business, operations, and sales to understand pain points and translate them into practical solutions
• Identify opportunities to automate repetitive work and streamline internal processes
• Establish engineering best practices for code quality, system design, CI/CD, and documentation
• Mentor other engineers and help raise the overall engineering bar of the team

What You Bring:

• 7+ years of software engineering experience, with strong experience building production systems
• Strong backend engineering skills, ideally in Python
• Experience building modern web applications with React
• Experience designing and consuming APIs, integrating third-party services, and building automation workflows
• Solid understanding of software architecture, system design, and scalable application development
• Experience working with cloud platforms such as AWS, GCP, or Azure
• Experience with containers, deployment pipelines, and engineering best practices in production environments
• Familiarity with LLM-based application development, including tools and APIs such as OpenAI, Gemini, or similar platforms
• Ability to evaluate where AI is useful in a workflow and where traditional engineering patterns are the better solution
• Strong communication skills and the ability to work directly with technical and non-technical stakeholders
• Proven ability to move from ambiguous business needs to working software

Nice to Have:

• Experience with workflow orchestration and automation tooling
• Experience building internal tools, sales enablement systems, or operational platforms
• Familiarity with vector databases, retrieval pipelines, agentic workflows, or prompt design
• Experience with asynchronous processing, task queues, and event-driven systems
• Exposure to analytics, experimentation, or collaboration with data science / ML teams
• Familiarity with Postgres and other common data storage technologies
• Experience with observability, monitoring, and production support
• Background in SaaS, enterprise platforms, or customer-facing solution engineering

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.

We are looking for a Senior Software Engineer, AI Automations, to join our team. In this role, you will take part in the design and development of internal tools, workflow automations, and AI-powered applications that support internal offerings and sales enablement. This is a hands-on engineering role for someone who is equally comfortable building backend services, designing integrations, and delivering polished user-facing tools. You will work closely with data scientists and cross-functional stakeholders to turn ideas into reliable production systems.

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.

What You’ll Do:

• Design, build, and maintain internal applications, automations, and AI-powered workflows
• Develop backend services and APIs in Python, Java Script (Node) and/or related technologies
• Build user-facing tools and dashboards using React
• Integrate LLMs and external services into business workflows using platforms such as OpenAI, Gemini, AWS, and GCP
• Partner with data scientists to productionize prototypes and analytical solutions
• Improve the architecture, reliability, testing, observability, and deployment of team-owned systems
• Work with stakeholders across business, operations, and sales to understand pain points and translate them into practical solutions
• Identify opportunities to automate repetitive work and streamline internal processes
• Establish engineering best practices for code quality, system design, CI/CD, and documentation
• Mentor other engineers and help raise the overall engineering bar of the team

What You Bring:

• 7+ years of software engineering experience, with strong experience building production systems
• Strong backend engineering skills, ideally in Python
• Experience building modern web applications with React
• Experience designing and consuming APIs, integrating third-party services, and building automation workflows
• Solid understanding of software architecture, system design, and scalable application development
• Experience working with cloud platforms such as AWS, GCP, or Azure
• Experience with containers, deployment pipelines, and engineering best practices in production environments
• Familiarity with LLM-based application development, including tools and APIs such as OpenAI, Gemini, or similar platforms
• Ability to evaluate where AI is useful in a workflow and where traditional engineering patterns are the better solution
• Strong communication skills and the ability to work directly with technical and non-technical stakeholders
• Proven ability to move from ambiguous business needs to working software

Nice to Have:

• Experience with workflow orchestration and automation tooling
• Experience building internal tools, sales enablement systems, or operational platforms
• Familiarity with vector databases, retrieval pipelines, agentic workflows, or prompt design
• Experience with asynchronous processing, task queues, and event-driven systems
• Exposure to analytics, experimentation, or collaboration with data science / ML teams
• Familiarity with Postgres and other common data storage technologies
• Experience with observability, monitoring, and production support
• Background in SaaS, enterprise platforms, or customer-facing solution engineering

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.

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 Project

As an Associate AI Engineer, you will join the team building internal LLM projects, ranging from client-facing demos to cutting-edge R&D initiatives. These projects will give you hands-on experience and prepare you to contribute to commercial client engagements.

What You’ll Do

• Build LLM and Agentic applications
• Brainstorm ideas for those projects and their implementation
• Take part in the full cycle: from ideation and brainstorming, through implementation, to testing and evaluation of the solutions
• You will have the opportunity to learn and develop your skills by working together with other AI Engineers (ranging from Associate to Lead)
• Participate in research of cutting-edge technologies and products

What You Bring

• Strong fundamentals in software development and problem-solving (Python preferred)
• Experience working in a Scrum team and writing production code
• Experience in using AI and Agentic tools for coding
• Knowledge of SDLC process
• Bachelor’s degree in STEM (or equivalent hands-on experience or bootcamp) as minimum (master's or PhD degree a plus)
• DevOps/MLOps experience including Docker
• Business-oriented, results-driven mindset
• Strong communication skills
• Curiosity and willingness to learn AI/LLM technologies

Nice to have

• Familiarity with cloud infrastructure (AWS/GCP/Azure)
• Knowledge of LLM Python packages: LangChain, LangGraph, LangFuse, vector DBs
• Knowledge of ML Python packages: PyTorch, scikit-learn
• NLP and language modelling knowledge
• Research interest and experience
• Good grasp of mathematics and statistics, including:
• Linear algebra, probability, and basic calculus
• Statistical testing and basic modeling techniques

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.

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 Project

As an Associate AI Engineer, you will join the team building internal LLM projects, ranging from client-facing demos to cutting-edge R&D initiatives. These projects will give you hands-on experience and prepare you to contribute to commercial client engagements.

What You’ll Do

• Build LLM and Agentic applications
• Brainstorm ideas for those projects and their implementation
• Take part in the full cycle: from ideation and brainstorming, through implementation, to testing and evaluation of the solutions
• You will have the opportunity to learn and develop your skills by working together with other AI Engineers (ranging from Associate to Lead)
• Participate in research of cutting-edge technologies and products

What You Bring

• Strong fundamentals in software development and problem-solving (Python preferred)
• Experience working in a Scrum team and writing production code
• Experience in using AI and Agentic tools for coding
• Knowledge of SDLC process
• Bachelor’s degree in STEM (or equivalent hands-on experience or bootcamp) as minimum (master's or PhD degree a plus)
• DevOps/MLOps experience including Docker
• Business-oriented, results-driven mindset
• Strong communication skills
• Curiosity and willingness to learn AI/LLM technologies

Nice to have

• Familiarity with cloud infrastructure (AWS/GCP/Azure)
• Knowledge of LLM Python packages: LangChain, LangGraph, LangFuse, vector DBs
• Knowledge of ML Python packages: PyTorch, scikit-learn
• NLP and language modelling knowledge
• Research interest and experience
• Good grasp of mathematics and statistics, including:
• Linear algebra, probability, and basic calculus
• Statistical testing and basic modeling techniques

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.

Location Details: 

At GoDaddy the future of work looks different for each team. Some teams work in the office full-time, others have a hybrid arrangement (they work remotely some days and in the office some days) and some work entirely remotely.

This position may be a hybrid or fully remote position, as decided by your manager. If designated as hybrid, you’ll divide your time between working remotely from your home and an office location, so you should live within commuting distance. If designated as remote, you’ll be working remotely from your home and may occasionally visit a GoDaddy office to meet with your team for events or meetings. Your hiring manager can share more about this role’s hybrid or remote designation. 

Join our team

Our Global Sustaining Engineering team sits at the intersection of software engineering and infrastructure, ensuring the services our customers depend on are fast, resilient, and always available. As a Senior Site Reliability Engineer, you'll take direct ownership of production services — from initial design through day-to-day operation — while partnering with product, engineering, and security teams to build and maintain business-critical systems. This is a role where you'll deepen your technical expertise, grow your leadership presence by mentoring the next generation of SREs, and gain hands-on experience integrating AI-driven tooling into real-world operational workflows.

What you'll get to do...

• Design, implement, and operate scalable, highly available production services while diagnosing and resolving complex infrastructure, network, and application issues
• Build and maintain alerting pipelines, dashboards, and SLO-driven monitoring strategies using Icinga, Prometheus, and Grafana
• Lead incident response end-to-end — performing root-cause analysis, authoring blameless post-mortems, and driving corrective actions to closure
• Develop and extend Infrastructure as Code coverage and build internal tooling that eliminates manual, repetitive operational work
• Mentor SRE I and SRE II engineers through code reviews, debugging sessions, and knowledge-sharing talks
• Apply LLM-driven log analysis, anomaly detection, and generative AI tools to accelerate incident response and runbook creation — validating all outputs before use

Your experience should include…

• 6+ years of professional experience in Site Reliability Engineering or Platform Engineering with demonstrated success leading organization-wide reliability programs
• Deep hands-on expertise with Kubernetes (deployments, operators, custom resources) and Docker in production environments
• Advanced Linux troubleshooting skills covering kernel internals, TCP/IP, DNS, and load balancers
• Proficiency in Python for production-grade automation and scripting, with working knowledge of Bash
• Expertise in Ansible and at least one additional Infrastructure as Code tool such as Terraform or Pulumi, with hands-on mastery of Icinga, Prometheus, and Grafana
• Understanding of large language models, embeddings, and basic machine learning pipelines, with the ability to evaluate and integrate AI-ops tools into daily work

You might also have…

• Experience building and maintaining continuous integration and continuous delivery pipelines using Jenkins, GitLab CI, or GitHub Actions
• Demonstrated experience defining and managing Service Level Objectives, Service Level Indicators, and Service Level Agreements across production

We've got your back...  We offer a range of total rewards that may include paid time off, retirement savings (e.g., 401k, pension schemes), bonus/incentive eligibility, equity grants, participation in our employee stock purchase plan, competitive health benefits, and other family-friendly benefits including parental leave. GoDaddy’s benefits vary based on individual role and location and can be reviewed in more detail during the interview process.  

We also embrace our diverse culture and offer a range of Employee Resource Groups (Culture). Have a side hustle? No problem. We love entrepreneurs! Most importantly, come as you are and make your own way. 

We encourage you to apply even if your experience or skillset doesn’t align perfectly with every requirement. We value a wide range of backgrounds and transferable skills, and we are excited to support learning and growth.

About us...  GoDaddy is empowering everyday entrepreneurs around the world by providing the help and tools to succeed online, making opportunity more inclusive for all. GoDaddy is the place people come to name their idea, build a professional website, attract customers, sell their products and services, and manage their work. Our mission is to give our customers the tools, insights, and people to transform their ideas and personal initiative into success. To learn more about the company, visit About Us. 

At GoDaddy, we know diverse teams build better products—period. Our people and culture reflect and celebrate that sense of diversity and inclusion in ideas, experiences and perspectives. But we also know that’s not enough to build true equity and belonging in our communities. That’s why we prioritize integrating diversity, equity, inclusion and belonging principles into the core of how we work every day—focusing not only on our employee experience, but also our customer experience and operations. It’s the best way to serve our mission of empowering entrepreneurs everywhere, and making opportunity more inclusive for all. To read more about these commitments, as well as our representation and pay equity data, check out our Diversity and Pay Parity annual report which can be found on our Diversity Careers page. 

GoDaddy is proud to be an equal opportunity employer. GoDaddy will consider for employment qualified applicants with criminal histories in a manner consistent with local and federal requirements. Refer to our full EEO policy.

Our recruiting team is available to assist you in completing your application. If they could be helpful, please reach out to myrecruiter@godaddy.com. 

GoDaddy doesn’t accept unsolicited resumes from recruiters or employment agencies.

Join Us as a Graphic Designer with a Focus on Data Visualization!

At INFUSE Academy, we turn complex ideas into visuals that make people stop and think. We are looking for a Graphic Designer who leads with clarity, communicates through imagery, and can distill a dense concept into something a learner understands at a glance.

If you can explain the impact of climate change in one image, you are the kind of thinker we want.

What you will bring:

• Proficiency in Figma, Illustrator, and Photoshop
• Solid foundation in composition, typography, and color theory
• Experience with data visualization: charts, infographics, diagrams that inform rather than decorate
• A visual storytelling instinct: you find the narrative in the numbers
• Genuine enthusiasm for AI tools -- you follow what is happening, you experiment, and you actively look for ways to co-create with AI rather than just use it
• Attention to detail and the self-organization to manage multiple projects

What you will do:

• Translate instructional content into visual concepts and storyboards
• Design static graphics, infographics, and course assets that carry meaning on their own
• Collaborate with instructional designers to find the best visual angle for every learning objective
• Co-create with AI tools as a real part of your design process -- bringing new ideas, accelerating output, and pushing what is possible

What you’ll love about working with us:

• A fun, diverse team of professionals from every corner of the globe
• A never-ending learning journey (because who wants to stop growing?)
• Career growth opportunities with regular reviews, your success is our success!
• Timely, market-range compensation (we make sure your wallet’s happy, too)
• Paid time off for U.S. public holidays, because rest is as important as work
• Summer Fridays with shorter hours, because everyone deserves a little sunshine
• Access to top-tier tools like Adobe and Figma Pro, so you can create like a pro

If you recognize yourself in this and are up to the challenge, we’d be happy to hear from you!

We are an Equal Opportunity Employer. We make hiring decisions based on qualifications, merit, and business needs. We do not discriminate on the basis of race, color, religion, sex (including pregnancy, sexual orientation, and gender identity), national origin, age, disability, genetic information, or any other characteristic protected under applicable law. We welcome applicants from all backgrounds and believe that diversity of experience, culture, and perspective makes us stronger.

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 Project

As an Associate AI Engineer, you will join the team building internal LLM projects, ranging from client-facing demos to cutting-edge R&D initiatives. These projects will give you hands-on experience and prepare you to contribute to commercial client engagements.

What You’ll Do

• Build LLM and Agentic applications
• Brainstorm ideas for those projects and their implementation
• Take part in the full cycle: from ideation and brainstorming, through implementation, to testing and evaluation of the solutions
• You will have the opportunity to learn and develop your skills by working together with other AI Engineers (ranging from Associate to Lead)
• Participate in research of cutting-edge technologies and products

What You Bring

• Strong fundamentals in software development and problem-solving (Python preferred)
• Experience working in a Scrum team and writing production code
• Experience in using AI and Agentic tools for coding
• Knowledge of SDLC process
• Bachelor’s degree in STEM (or equivalent hands-on experience or bootcamp) as minimum (master's or PhD degree a plus)
• DevOps/MLOps experience including Docker
• Business-oriented, results-driven mindset
• Strong communication skills
• Curiosity and willingness to learn AI/LLM technologies

Nice to have

• Familiarity with cloud infrastructure (AWS/GCP/Azure)
• Knowledge of LLM Python packages: LangChain, LangGraph, LangFuse, vector DBs
• Knowledge of ML Python packages: PyTorch, scikit-learn
• NLP and language modelling knowledge
• Research interest and experience
• Good grasp of mathematics and statistics, including:
• Linear algebra, probability, and basic calculus
• Statistical testing and basic modeling techniques

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.

We are seeking a skilled Middle AI Engineer with a deep understanding of the latest trends to join our international team. As a mid-level contributor, you will design and implement agentic AI solutions that enhance automation, decision-making, and system intelligence across the enterprise. This role is ideal for developers with hands-on experience in AI/ML, LLMs, and autonomous agents, and a passion for building scalable, intelligent systems that drive operational excellence.

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, develop, and deploy AI-driven applications and agentic systems using LLMs, transformers, and reinforcement learning
• Build intelligent automation pipelines for tasks such as incident triage, anomaly detection, and operational decision support
• Collaborate with SRE, DevOps, and product teams to integrate AI capabilities into existing infrastructure and workflows
• Develop and fine-tune models for natural language understanding, system behavior prediction, and autonomous task execution
• Implement scalable APIs and microservices for AI model serving and orchestration.
• Apply prompt engineering and retrieval-augmented generation (RAG) techniques to improve model performance and contextual accuracy
• Contribute to architectural decisions, model evaluation strategies, and continuous learning systems
• Align with team schedules (daily meetings and reviews between 3–7 PM CET)

What You Bring

• Experience in AI/ML development, software engineering, or related roles
• Proficiency in Python and frameworks such as PyTorch, TensorFlow, or Hugging Face Transformers
• Experience with LLMs (e.g., OpenAI, Anthropic, Mistral) and agentic frameworks (e.g., LangChain, AutoGPT, CrewAI)
• Understanding of machine learning, deep learning, and reinforcement learning principles
• Familiarity with cloud platforms (AWS, Azure, GCP) and containerization tools (Docker, Kubernetes)
• Experience with MLOps tools and practices for model deployment
• Knowledge of observability and telemetry systems for AI performance tracking
• Excellent problem-solving skills, communication, and a collaborative mindset

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.

We are seeking a skilled Middle AI Engineer with a deep understanding of the latest trends to join our international team. As a mid-level contributor, you will design and implement agentic AI solutions that enhance automation, decision-making, and system intelligence across the enterprise. This role is ideal for developers with hands-on experience in AI/ML, LLMs, and autonomous agents, and a passion for building scalable, intelligent systems that drive operational excellence.

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, develop, and deploy AI-driven applications and agentic systems using LLMs, transformers, and reinforcement learning
• Build intelligent automation pipelines for tasks such as incident triage, anomaly detection, and operational decision support
• Collaborate with SRE, DevOps, and product teams to integrate AI capabilities into existing infrastructure and workflows
• Develop and fine-tune models for natural language understanding, system behavior prediction, and autonomous task execution
• Implement scalable APIs and microservices for AI model serving and orchestration.
• Apply prompt engineering and retrieval-augmented generation (RAG) techniques to improve model performance and contextual accuracy
• Contribute to architectural decisions, model evaluation strategies, and continuous learning systems
• Align with team schedules (daily meetings and reviews between 3–7 PM CET)

What You Bring

• Experience in AI/ML development, software engineering, or related roles
• Proficiency in Python and frameworks such as PyTorch, TensorFlow, or Hugging Face Transformers
• Experience with LLMs (e.g., OpenAI, Anthropic, Mistral) and agentic frameworks (e.g., LangChain, AutoGPT, CrewAI)
• Understanding of machine learning, deep learning, and reinforcement learning principles
• Familiarity with cloud platforms (AWS, Azure, GCP) and containerization tools (Docker, Kubernetes)
• Experience with MLOps tools and practices for model deployment
• Knowledge of observability and telemetry systems for AI performance tracking
• Excellent problem-solving skills, communication, and a collaborative mindset

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.

We are seeking a skilled Middle AI Engineer with a deep understanding of the latest trends to join our international team. As a mid-level contributor, you will design and implement agentic AI solutions that enhance automation, decision-making, and system intelligence across the enterprise. This role is ideal for developers with hands-on experience in AI/ML, LLMs, and autonomous agents, and a passion for building scalable, intelligent systems that drive operational excellence.

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, develop, and deploy AI-driven applications and agentic systems using LLMs, transformers, and reinforcement learning
• Build intelligent automation pipelines for tasks such as incident triage, anomaly detection, and operational decision support
• Collaborate with SRE, DevOps, and product teams to integrate AI capabilities into existing infrastructure and workflows
• Develop and fine-tune models for natural language understanding, system behavior prediction, and autonomous task execution
• Implement scalable APIs and microservices for AI model serving and orchestration.
• Apply prompt engineering and retrieval-augmented generation (RAG) techniques to improve model performance and contextual accuracy
• Contribute to architectural decisions, model evaluation strategies, and continuous learning systems
• Align with team schedules (daily meetings and reviews between 3–7 PM CET)

What You Bring

• Experience in AI/ML development, software engineering, or related roles
• Proficiency in Python and frameworks such as PyTorch, TensorFlow, or Hugging Face Transformers
• Experience with LLMs (e.g., OpenAI, Anthropic, Mistral) and agentic frameworks (e.g., LangChain, AutoGPT, CrewAI)
• Understanding of machine learning, deep learning, and reinforcement learning principles
• Familiarity with cloud platforms (AWS, Azure, GCP) and containerization tools (Docker, Kubernetes)
• Experience with MLOps tools and practices for model deployment
• Knowledge of observability and telemetry systems for AI performance tracking
• Excellent problem-solving skills, communication, and a collaborative mindset

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.

ABOUT THE ROLE

Be at the forefront of the AI revolution, working on cutting-edge projects that shape the future of financial services. You’ll join a passionate team focused on building high-quality, scalable products with real-world impact.

We’re looking for a Staff-level Backend Engineer (AI) to bridge robust backend systems with Generative AI. You’ll design the frameworks, standards, and platforms that allow AI capabilities to scale securely, reliably, and efficiently across the enterprise, going beyond feature delivery to influence long-term technical direction.

AS A STAFF ENGINEER YOU WILL BE:

• Build core services for Tide’s agentic platform, including APIs, workflow orchestration, and tool integration 
• Integrate bought components where they accelerate delivery, and build where control, trust, and reuse matter most
• Work with product, data, platform, and security teams to productionise shared AI capabilities
• Design services that are reliable, secure, observable, and easy for other teams to adopt
• Help shape reusable engineering patterns for AI-enabled workflows

WHAT WE ARE LOOKING FOR:

• Strong backend or platform engineering experience in production environments.
• Good judgement across APIs, distributed systems, cloud infrastructure, and service design.
• Experience integrating internal and third-party platforms.
• Comfort working in ambiguity and turning emerging needs into robust platform components.
• Strong focus on quality, reliability, and developer usability.
• Experience with AI infrastructure or orchestration is helpful, but not essential.
• Experience in highly regulated industries (Fintech, Healthtech, etc.) where safety and compliance are core to the product is valuable, but not essential.
• Design and build automated evaluation pipelines to measure agent reasoning accuracy and safety trajectories

OUR TECH STACK:

• Java, Spring Boot and JOOQ to build the RESTful APIs of our microservices (but we welcome people who are used to any strongly typed general purpose programming language!)
• Event-driven architecture with messages over SNS+SQS and Kafka to make them reliable
• Primary datastores are MySQL and PostgreSQL via RDS or Aurora (we are heavy AWS users)
• Docker, Terraform, EKS used by the Cloud team to run the platform
• DataDog and Rollbar to keep it running
• GitHub with Sonarcloud, Semgrep and solid testing to power the CI/CD pipelines - new joiners are encouraged to have something deployed to production in their first 2 weeks
• Angular 2+ with ngrx on Web, Flutter for the Mobile App
• Fivetran/Snowflake/Looker for the BI insights and Python/Faust/Flask/Tecton + some ML libs for the automated decisioning and risk management

WHAT YOU’LL GET IN RETURN: 

Our location-specific employee benefits are designed to cater to the unique needs of Tideans: 

• Remote first
• 25 days of paid annual leave
• 3 paid days off for volunteering or L&D activities
• Private Health Insurance
• Mental Health Support Platform
• FitPass
• Family and friendly leave (according to statutory)
• Personal L&D budget
• Share Options

TIDEAN WAYS OF WORKING

At Tide, we champion a flexible workplace model that supports both in-person and remote work to cater to the specific needs of our different teams. 

While remote work is supported, we believe in the power of face-to-face interactions to foster team spirit and collaboration. Our offices are designed as hubs for innovation and team-building, where we encourage regular in-person gatherings to foster a strong sense of community.

ABOUT THE ROLE

Be at the forefront of the AI revolution, working on cutting-edge projects that shape the future of financial services. You’ll join a passionate team focused on building high-quality, scalable products with real-world impact.

We’re looking for a Staff-level Backend Engineer (AI) to bridge robust backend systems with Generative AI. You’ll design the frameworks, standards, and platforms that allow AI capabilities to scale securely, reliably, and efficiently across the enterprise, going beyond feature delivery to influence long-term technical direction.

AS A STAFF ENGINEER YOU WILL BE:

• Build core services for Tide’s agentic platform, including APIs, workflow orchestration, and tool integration 
• Integrate bought components where they accelerate delivery, and build where control, trust, and reuse matter most
• Work with product, data, platform, and security teams to productionise shared AI capabilities
• Design services that are reliable, secure, observable, and easy for other teams to adopt
• Help shape reusable engineering patterns for AI-enabled workflows

WHAT WE ARE LOOKING FOR:

• Strong backend or platform engineering experience in production environments.
• Good judgement across APIs, distributed systems, cloud infrastructure, and service design.
• Experience integrating internal and third-party platforms.
• Comfort working in ambiguity and turning emerging needs into robust platform components.
• Strong focus on quality, reliability, and developer usability.
• Experience with AI infrastructure or orchestration is helpful, but not essential.
• Experience in highly regulated industries (Fintech, Healthtech, etc.) where safety and compliance are core to the product is valuable, but not essential.
• Design and build automated evaluation pipelines to measure agent reasoning accuracy and safety trajectories

OUR TECH STACK:

• Java, Spring Boot and JOOQ to build the RESTful APIs of our microservices (but we welcome people who are used to any strongly typed general purpose programming language!)
• Event-driven architecture with messages over SNS+SQS and Kafka to make them reliable
• Primary datastores are MySQL and PostgreSQL via RDS or Aurora (we are heavy AWS users)
• Docker, Terraform, EKS used by the Cloud team to run the platform
• DataDog and Rollbar to keep it running
• GitHub with Sonarcloud, Semgrep and solid testing to power the CI/CD pipelines - new joiners are encouraged to have something deployed to production in their first 2 weeks
• Angular 2+ with ngrx on Web, Flutter for the Mobile App
• Fivetran/Snowflake/Looker for the BI insights and Python/Faust/Flask/Tecton + some ML libs for the automated decisioning and risk management

WHAT YOU’LL GET IN RETURN

• The gross monthly salary for this position ranges from 7400€ to 11560€, depending on your skills, and experience.
• Private Health Insurance
• 25 days paid annual leave
• 3 paid days off for volunteering or L&D activities
• Parental Leave days 
• Family-Friendly Leave 
• Personal L&D budget in the amount of 500 EUR per year
• Mental wellbeing platform Plumm
• WFH equipment allowance
• Sabbatical Leave
• Share options
• Team Events

TIDEAN WAYS OF WORKING

At Tide, we champion a flexible workplace model that supports both in-person and remote work to cater to the specific needs of our different teams. 

While remote work is supported, we believe in the power of face-to-face interactions to foster team spirit and collaboration. Our offices are designed as hubs for innovation and team-building, where we encourage regular in-person gatherings to foster a strong sense of community.

ABOUT THE ROLE

Be at the forefront of the AI revolution, working on cutting-edge projects that shape the future of financial services. You’ll join a passionate team focused on building high-quality, scalable products with real-world impact.

We’re looking for a Staff-level Backend Engineer (AI) to bridge robust backend systems with Generative AI. You’ll design the frameworks, standards, and platforms that allow AI capabilities to scale securely, reliably, and efficiently across the enterprise, going beyond feature delivery to influence long-term technical direction.

AS A STAFF ENGINEER YOU WILL:

• Build core services for Tide’s agentic platform, including APIs, workflow orchestration, and tool integration 
• Integrate bought components where they accelerate delivery, and build where control, trust, and reuse matter most
• Work with product, data, platform, and security teams to productionise shared AI capabilities
• Design services that are reliable, secure, observable, and easy for other teams to adopt
• Help shape reusable engineering patterns for AI-enabled workflows

WHAT WE ARE LOOKING FOR:

• Strong backend or platform engineering experience in production environments.
• Good judgement across APIs, distributed systems, cloud infrastructure, and service design.
• Experience integrating internal and third-party platforms.
• Comfort working in ambiguity and turning emerging needs into robust platform components.
• Strong focus on quality, reliability, and developer usability.
• Experience with AI infrastructure or orchestration is helpful, but not essential.
• Experience in highly regulated industries (Fintech, Healthtech, etc.) where safety and compliance are core to the product is valuable, but not essential.
• Design and build automated evaluation pipelines to measure agent reasoning accuracy and safety trajectories

OUR TECH STACK:

• Java, Spring Boot and JOOQ to build the RESTful APIs of our microservices (but we welcome people who are used to any strongly typed general purpose programming language!)
• Event-driven architecture with messages over SNS+SQS and Kafka to make them reliable
• Primary datastores are MySQL and PostgreSQL via RDS or Aurora (we are heavy AWS users)
• Docker, Terraform, EKS used by the Cloud team to run the platform
• DataDog and Rollbar to keep it running
• GitHub with Sonarcloud, Semgrep and solid testing to power the CI/CD pipelines - new joiners are encouraged to have something deployed to production in their first 2 weeks
• Angular 2+ with ngrx on Web, Flutter for the Mobile App
• Fivetran/Snowflake/Looker for the BI insights and Python/Faust/Flask/Tecton + some ML libs for the automated decisioning and risk management

WHAT YOU'LL GET IN RETURN

• Flexible working options
• Group Life Insurance
• Vitality Health Insurance, with a proactive focus on mental and physical wellbeing
• 25 days holiday with the ability to buy extra days
• 3 days for L&D or volunteering time off per year
• We invest in your development with a £1,000 professional L&D budget per year
• Access to ‘salary sacrifice’ benefits such as Cycle to Work scheme and pension contribution
• Spacious brand-new office near Old Street with an all-day snacks bar
• Enhanced family-friendly leave
• Sabbatical leave

TIDEAN WAYS OF WORKING

At Tide, we champion a flexible workplace model that supports both in-person and remote work to cater to the specific needs of our different teams. 

While remote work is supported, we believe in the power of face-to-face interactions to foster team spirit and collaboration. Our offices are designed as hubs for innovation and team-building, where we encourage regular in-person gatherings to foster a strong sense of community.

ABOUT THE ROLE

Be at the forefront of the AI revolution, working on cutting-edge projects that shape the future of financial services. You’ll join a passionate team focused on building high-quality, scalable products with real-world impact.

We’re looking for a Staff-level Backend Engineer (AI) to bridge robust backend systems with Generative AI. You’ll design the frameworks, standards, and platforms that allow AI capabilities to scale securely, reliably, and efficiently across the enterprise, going beyond feature delivery to influence long-term technical direction.

As a Staff Engineer you’ll be:

• Build core services for Tide’s agentic platform, including APIs, workflow orchestration, and tool integration 
• Integrate bought components where they accelerate delivery, and build where control, trust, and reuse matter most
• Work with product, data, platform, and security teams to productionise shared AI capabilities
• Design services that are reliable, secure, observable, and easy for other teams to adopt
• Help shape reusable engineering patterns for AI-enabled workflows

WHAT WE ARE LOOKING FOR:

• Strong backend or platform engineering experience in production environments.
• Good judgement across APIs, distributed systems, cloud infrastructure, and service design.
• Experience integrating internal and third-party platforms.
• Comfort working in ambiguity and turning emerging needs into robust platform components.
• Strong focus on quality, reliability, and developer usability.
• Experience with AI infrastructure or orchestration is helpful, but not essential.
• Experience in highly regulated industries (Fintech, Healthtech, etc.) where safety and compliance are core to the product is valuable, but not essential.
• Design and build automated evaluation pipelines to measure agent reasoning accuracy and safety trajectories

OUR TECH STACK:

• Java, Spring Boot and JOOQ to build the RESTful APIs of our microservices (but we welcome people who are used to any strongly typed general purpose programming language!)
• Event-driven architecture with messages over SNS+SQS and Kafka to make them reliable
• Primary datastores are MySQL and PostgreSQL via RDS or Aurora (we are heavy AWS users)
• Docker, Terraform, EKS used by the Cloud team to run the platform
• DataDog and Rollbar to keep it running
• GitHub with Sonarcloud, Semgrep and solid testing to power the CI/CD pipelines - new joiners are encouraged to have something deployed to production in their first 2 weeks
• Angular 2+ with ngrx on Web, Flutter for the Mobile App
• Fivetran/Snowflake/Looker for the BI insights and Python/Faust/Flask/Tecton + some ML libs for the automated decisioning and risk management

WHAT YOU’LL GET IN RETURN: 

Our location-specific employee benefits are designed to cater to the unique needs of Tideans: 

• 25 days paid annual leave
• 3 paid days off for volunteering or L&D activities
• Extended maternity and paternity leave covered by the company
• Personal L&D budget in the amount of 500 EUR per year
• Additional health & dental insurance
• Mental wellbeing platform
• Fully covered Multisports card
• Food vouchers
• Snacks, light food, drinks in the office
• WFH equipment allowance
• Flexible working from home
• Sabbatical Leave
• Share options

TIDEAN WAYS OF WORKING

At Tide, we champion a flexible workplace model that supports both in-person and remote work to cater to the specific needs of our different teams. 

While remote work is supported, we believe in the power of face-to-face interactions to foster team spirit and collaboration. Our offices are designed as hubs for innovation and team-building, where we encourage regular in-person gatherings to foster a strong sense of community.

ABOUT THE ROLE

Tide is hiring a Senior Staff Software Engineer to lead the architecture of our agentic platform.

You will shape the shared capabilities that allow AI systems to operate safely, reliably, and at scale across Tide. That includes context, orchestration, tool execution, trust controls, observability, and evaluation. You will participate in key build versus buy decisions, integrate external components where they accelerate us, and ensure we own the parts that matter most for Tide’s trust, data advantage, and long-term platform leverage.

WHAT YOU WILL DO

• Define the architecture for Tide’s agentic platform
• Drive the design of shared services such as context APIs, tool layers, policy controls, and auditability
• Partner with product, data, security, and engineering teams to turn use cases into reusable platform capabilities
• Set standards for reliability, safety, scalability, and developer experience
• Provide technical leadership across teams and unblock critical decisions
• Implement cost-management and routing logic to optimize LLM spend across different providers
• Design and build automated evaluation pipelines to measure agent reasoning accuracy and safety trajectories

WHAT WE ARE LOOKING FOR

• Deep experience building platform or infrastructure systems at scale
• Strong judgement across APIs, distributed systems, data, and cloud-native architecture
• Track record of leading complex cross-team technical problems
• Experience integrating third-party platforms without losing control of core architecture
• Strong understanding of reliability, security, and observability
• Experience with AI platform components is valuable, but not essential
• Experience in highly regulated industries (Fintech, Healthtech, etc.) where safety and compliance are core to the product is highly desirable 

WHY THIS ROLE MATTERS

This role will help determine whether Tide builds isolated AI pilots or a reusable platform that compounds value across productivity, risk, and connectivity.

OUR TECH STACK:

• Java, Spring Boot and JOOQ to build the RESTful APIs of our microservices (but we welcome people who are used to any strongly typed general purpose programming language!)
• Event-driven architecture with messages over SNS+SQS and Kafka to make them reliable
• Primary datastores are MySQL and PostgreSQL via RDS or Aurora (we are heavy AWS users)
• Docker, Terraform, EKS used by the Cloud team to run the platform
• DataDog and Rollbar to keep it running
• GitHub with Sonarcloud, Semgrep and solid testing to power the CI/CD pipelines - new joiners are encouraged to have something deployed to production in their first 2 weeks
• Angular 2+ with ngrx on Web, Flutter for the Mobile App
• Fivetran/Snowflake/Looker for the BI insights and Python/Faust/Flask/Tecton + some ML libs for the automated decisioning and risk management

WHAT YOU’LL GET IN RETURN: 

Our location-specific employee benefits are designed to cater to the unique needs of Tideans: 

• 25 days paid annual leave
• 3 paid days off for volunteering or L&D activities
• Extended maternity and paternity leave covered by the company
• Personal L&D budget in the amount of 500 EUR per year
• Additional health & dental insurance
• Mental wellbeing platform
• Fully covered Multisports card
• Food vouchers
• Snacks, light food, drinks in the office
• WFH equipment allowance
• Flexible working from home
• Sabbatical Leave
• Share options

TIDEAN WAYS OF WORKING

At Tide, we champion a flexible workplace model that supports both in-person and remote work to cater to the specific needs of our different teams. 

While remote work is supported, we believe in the power of face-to-face interactions to foster team spirit and collaboration. Our offices are designed as hubs for innovation and team-building, where we encourage regular in-person gatherings to foster a strong sense of community.

How You'll Make an Impact: 

As a Senior DevOps Engineer at Cloudbeds, your goal is to constantly improve and scale our SaaS platform to deliver an exceptional experience to hoteliers and their guests worldwide. You'll own the creation, monitoring, automation, and support of our cloud infrastructure and delivery pipelines — enabling product teams to ship high-quality software with speed and confidence. Working within a bottom-up culture that values healthy debate and collaborative problem-solving, you'll have real influence over architecture decisions and the opportunity to shape how we scale infrastructure for one of the fastest-growing hospitality technology platforms in the world.

Our Infrastructure Team: 

Our Infrastructure team is made up of engineers who take genuine pride in their craft, owning projects end-to-end and holding themselves to a high bar. We're passionate about technology and constantly pushing to improve our stack, not just maintain it. If you thrive in an environment where attention to detail matters, great communication is a given, and you're comfortable challenging the status quo to make things better, you'll feel right at home here.

What You Bring to the Team:

• Architect, improve, and scale Cloudbeds' cloud infrastructure on AWS, with a focus on reliability, security, and performance
• Build and evolve our Kubernetes (EKS) platform, driving adoption of containerization best practices across engineering teams
• Automate infrastructure provisioning and configuration using infrastructure-as-code tools like Terraform
• Design, build, and maintain CI/CD pipelines (GitHub Actions, ArgoCD) that enable fast, reliable software delivery
• Partner with product and engineering teams to drive projects to production, sharing DevOps expertise and ensuring strong environment configuration from the infrastructure side
• Maintain and improve monitoring, logging, and alerting systems to ensure platform health and rapid incident response
• Participate in on-call rotation to support production environment stability.

What Sets You Up for Success:

• 5+ years of experience as a DevOps Engineer working hands-on with AWS (networking, compute, storage, databases, queues, cache, permissions).
• 5+ years of strong Kubernetes and Docker experience, including implementing and scaling EKS platforms at production scale.
• Deep expertise with Terraform for infrastructure-as-code and configuration management.
• Proven experience building and supporting CI/CD pipelines using GitHub Actions and ArgoCD.
• Strong knowledge of monitoring and observability tools such as Datadog, Prometheus, Loki, or AWS CloudWatch.
• Working knowledge of web application servers (NGINX, Ingress controllers), databases (MySQL, PostgreSQL, Aurora), caching (Redis, Memcached), and queue technologies (SQS).
• Ability to write Bash and/or Python scripts to automate operational tasks.
• Strong Linux system administration skills and solid networking fundamentals.
• Excellent written and verbal English communication skills; comfortable working asynchronously across a globally distributed remote team.

#LI-REMOTE #LI-IK1

Responsibilities

We are looking for an exceptional Senior Backend Developer (Ruby) to join our growing Engine team. The Engine team develops and maintains most things related to Workato Recipe runtime. Everything related to recipe execution: DSL, pulling events, processing webhooks, executing jobs. There are various aspects to it: performance, scaling, storage, durability, atomicity, concurrency guarantees, data protection, and encryption. 

 In this role, you will also be responsible to:

• Build/extend/troubleshot/fix complex heterogeneous GOlang and Ruby applications, as well as small self-contained GOlang microservices.

• Improve execution engine of custom third-party code (Ruby DSL, isolation, performance, new features).

• Write well designed, testable, efficient code in Ruby and GOlang.

• Integration of data storage solutions Postgres/S3/DynamoDB/Kafka/ClickHouse etc.

• Contribute in all phases of the development lifecycle.

• Provide code reviews to your teammates.

• Provide technical leadership. Work with other teams on shared projects.

• Evaluate and propose improvements to existing systems.

• Identify bottlenecks and bugs, and devise solutions to these problems.

• Help maintain code quality, organization and automatization.

• We always explore new technologies and work with Rust and Wasm can be foreseen.

Requirements

Qualifications / Experience / Technical Skills

• Strong experience in building scalable distributed backend applications (7+ years).

• Excellent understanding of distributed systems patterns and algorithms.

• Great understanding of all building blocks of large web applications: databases, load balancers, application servers, message brokers, caching, monitoring, etc.

• Excellent understanding of network protocols and stacks.

• Excellent understanding of DB technologies: classic databases and modern no-SQL.

• Knowledge of all common basic data structures and algorithms and how they are used is a must.

• Multilingual programming experience: our code base is primarily in Ruby, with a trend to migrate to GOlang and Rust. At least two languages are required.

• At least basic understanding of cloud deployments (k8s, Terraform, ArgoCD)

• Experience of working with public cloud infrastructure providers(AWS/Azure/Google Cloud).

• Excellent debugging, analytical, problem solving, and social skills.

• BS/MS degree in Computer Science, Engineering or a related subject, 7+ years of industry experience.

Optional

• Background in GOlang, Rust, WASM.

• Background in network programming.

• Background in Kotlin/Multiplatform. 

• Background in application, data security.

• Deep knowledge of physical DB design.

• Experience of working with Docker and other isolation technologies.

• Experience in related fields (DevOps, ML, DBA, Enterprise applications, etc).

• Experience in building/deploying data processing pipelines is a plus.

• Experience of working with third-party REST APIs at scale (request throttling, batch processing etc).

Soft Skills / Personal Characteristics

• Ability to technically lead projects. Work with requirements, cost analysis.

• Readiness to work remotely with teams distributed across the world and timezones.

(REQ ID: 2343)

Responsibilities

We are looking for an exceptional Senior Backend Developer (GOlang) to join our growing Engine team. The Engine team develops and maintains most things related to Workato Recipe runtime. Everything related to recipe execution: DSL, pulling events, processing webhooks, executing jobs. There are various aspects to it: performance, scaling, storage, durability, atomicity, concurrency guarantees, data protection, and encryption.

• Build/extend/troubleshot/fix complex heterogeneous GOlang applications, as well as small self-contained GOlang microservices.

• Improve execution engine of custom third-party code (isolation, performance, new features).

• Write well designed, testable, efficient code in GOlang.

• Integration of data storage solutions Postgres/S3/DynamoDB/Kafka/ClickHouse etc.

• Contribute in all phases of the development lifecycle.

• Provide code reviews to your teammates.

• Evaluate and propose improvements to existing system.

• Identify bottlenecks and bugs, and devise solutions to these problems.

• Help maintain code quality, organization and automatization. 

Requirements

Qualifications / Experience / Technical Skills

• Strong experience in building scalable distributed backend applications (7+ years).

• Great understanding of all building blocks of large web applications: databases, load balancers, application servers, message brokers, caching, monitoring, etc.

• Good understanding of network protocols and stacks.

• Good understanding of DB technologies: classic databases and modern no-SQL.

• Knowledge of basic data structures and algorithms and how they are used is a must.

• Excellent debugging, analytical, problem solving, and social skills.

• BS/MS degree in Computer Science, Engineering or a related subject, 7+ years of industry experience.

Can be a plus

• Experience in related fields (DevOps, ML, DBA, Enterprise applications, etc).

• Experience in building/deploying data processing pipelines.

Soft Skills / Personal Characteristics

• Readiness to work remotely with teams distributed across the world and timezones.

Job Req ID: 2314

Responsibilities

We are looking for an exceptional Senior Backend Developer (GOlang) to join our growing Engine team. The Engine team develops and maintains most things related to Workato Recipe runtime. Everything related to recipe execution: DSL, pulling events, processing webhooks, executing jobs. There are various aspects to it: performance, scaling, storage, durability, atomicity, concurrency guarantees, data protection, and encryption.

• Build/extend/troubleshot/fix complex heterogeneous GOlang applications, as well as small self-contained GOlang microservices.

• Improve execution engine of custom third-party code (isolation, performance, new features).

• Write well designed, testable, efficient code in GOlang.

• Integration of data storage solutions Postgres/S3/DynamoDB/Kafka/ClickHouse etc.

• Contribute in all phases of the development lifecycle.

• Provide code reviews to your teammates.

• Evaluate and propose improvements to existing system.

• Identify bottlenecks and bugs, and devise solutions to these problems.

• Help maintain code quality, organization and automatization. 

Requirements

Qualifications / Experience / Technical Skills

• Strong experience in building scalable distributed backend applications (7+ years).

• Great understanding of all building blocks of large web applications: databases, load balancers, application servers, message brokers, caching, monitoring, etc.

• Good understanding of network protocols and stacks.

• Good understanding of DB technologies: classic databases and modern no-SQL.

• Knowledge of basic data structures and algorithms and how they are used is a must.

• Excellent debugging, analytical, problem solving, and social skills.

• BS/MS degree in Computer Science, Engineering or a related subject, 7+ years of industry experience.

Can be a plus

• Experience in related fields (DevOps, ML, DBA, Enterprise applications, etc).

• Experience in building/deploying data processing pipelines.

Soft Skills / Personal Characteristics

• Readiness to work remotely with teams distributed across the world and timezones.

Job Req ID: 2314

Responsibilities

We are looking for an exceptional Senior Backend Developer (GOlang) to join our growing Engine team. The Engine team develops and maintains most things related to Workato Recipe runtime. Everything related to recipe execution: DSL, pulling events, processing webhooks, executing jobs. There are various aspects to it: performance, scaling, storage, durability, atomicity, concurrency guarantees, data protection, and encryption.

• Build/extend/troubleshot/fix complex heterogeneous GOlang applications, as well as small self-contained GOlang microservices.

• Improve execution engine of custom third-party code (isolation, performance, new features).

• Write well designed, testable, efficient code in GOlang.

• Integration of data storage solutions Postgres/S3/DynamoDB/Kafka/ClickHouse etc.

• Contribute in all phases of the development lifecycle.

• Provide code reviews to your teammates.

• Evaluate and propose improvements to existing system.

• Identify bottlenecks and bugs, and devise solutions to these problems.

• Help maintain code quality, organization and automatization. 

Requirements

Qualifications / Experience / Technical Skills

• Strong experience in building scalable distributed backend applications (7+ years).

• Great understanding of all building blocks of large web applications: databases, load balancers, application servers, message brokers, caching, monitoring, etc.

• Good understanding of network protocols and stacks.

• Good understanding of DB technologies: classic databases and modern no-SQL.

• Knowledge of basic data structures and algorithms and how they are used is a must.

• Excellent debugging, analytical, problem solving, and social skills.

• BS/MS degree in Computer Science, Engineering or a related subject, 7+ years of industry experience.

Can be a plus

• Experience in related fields (DevOps, ML, DBA, Enterprise applications, etc).

• Experience in building/deploying data processing pipelines.

Soft Skills / Personal Characteristics

• Readiness to work remotely with teams distributed across the world and timezones.

Job Req ID: 2314

Responsibilities

We are looking for an exceptional Senior Backend Developer (GOlang) to join our growing Engine team. The Engine team develops and maintains most things related to Workato Recipe runtime. Everything related to recipe execution: DSL, pulling events, processing webhooks, executing jobs. There are various aspects to it: performance, scaling, storage, durability, atomicity, concurrency guarantees, data protection, and encryption.

• Build/extend/troubleshot/fix complex heterogeneous GOlang applications, as well as small self-contained GOlang microservices.

• Improve execution engine of custom third-party code (isolation, performance, new features).

• Write well designed, testable, efficient code in GOlang.

• Integration of data storage solutions Postgres/S3/DynamoDB/Kafka/ClickHouse etc.

• Contribute in all phases of the development lifecycle.

• Provide code reviews to your teammates.

• Evaluate and propose improvements to existing system.

• Identify bottlenecks and bugs, and devise solutions to these problems.

• Help maintain code quality, organization and automatization. 

Requirements

Qualifications / Experience / Technical Skills

• Strong experience in building scalable distributed backend applications (7+ years).

• Great understanding of all building blocks of large web applications: databases, load balancers, application servers, message brokers, caching, monitoring, etc.

• Good understanding of network protocols and stacks.

• Good understanding of DB technologies: classic databases and modern no-SQL.

• Knowledge of basic data structures and algorithms and how they are used is a must.

• Excellent debugging, analytical, problem solving, and social skills.

• BS/MS degree in Computer Science, Engineering or a related subject, 7+ years of industry experience.

Can be a plus

• Experience in related fields (DevOps, ML, DBA, Enterprise applications, etc).

• Experience in building/deploying data processing pipelines.

Soft Skills / Personal Characteristics

• Readiness to work remotely with teams distributed across the world and timezones.

Job Req ID: 2314

Responsibilities

We are looking for an exceptional Senior Backend Developer (GOlang) to join our growing Engine team. The Engine team develops and maintains most things related to Workato Recipe runtime. Everything related to recipe execution: DSL, pulling events, processing webhooks, executing jobs. There are various aspects to it: performance, scaling, storage, durability, atomicity, concurrency guarantees, data protection, and encryption.

• Build/extend/troubleshot/fix complex heterogeneous GOlang applications, as well as small self-contained GOlang microservices.

• Improve execution engine of custom third-party code (isolation, performance, new features).

• Write well designed, testable, efficient code in GOlang.

• Integration of data storage solutions Postgres/S3/DynamoDB/Kafka/ClickHouse etc.

• Contribute in all phases of the development lifecycle.

• Provide code reviews to your teammates.

• Evaluate and propose improvements to existing system.

• Identify bottlenecks and bugs, and devise solutions to these problems.

• Help maintain code quality, organization and automatization. 

Requirements

Qualifications / Experience / Technical Skills

• Strong experience in building scalable distributed backend applications (7+ years).

• Great understanding of all building blocks of large web applications: databases, load balancers, application servers, message brokers, caching, monitoring, etc.

• Good understanding of network protocols and stacks.

• Good understanding of DB technologies: classic databases and modern no-SQL.

• Knowledge of basic data structures and algorithms and how they are used is a must.

• Excellent debugging, analytical, problem solving, and social skills.

• BS/MS degree in Computer Science, Engineering or a related subject, 7+ years of industry experience.

Can be a plus

• Experience in related fields (DevOps, ML, DBA, Enterprise applications, etc).

• Experience in building/deploying data processing pipelines.

Soft Skills / Personal Characteristics

• Readiness to work remotely with teams distributed across the world and timezones.

Job Req ID: 2314

Responsibilities

We are looking for a Senior Python Engineer to play a key role in building the core of our AI platform. In this position, you will design and develop production-grade systems that power intelligent automation, agentic workflows, and large-scale retrieval services. This is a highly technical, hands-on role that involves close collaboration with product and platform teams to transform advanced AI concepts into reliable, scalable, and secure solutions used across our enterprise ecosystem. You will also be responsible to:

• Design, build, and maintain AI-powered services and APIs, leveraging LLMs (OpenAI, Anthropic, Qwen, OSS models) and custom ML models.

• Develop an enterprise-grade agentic framework that enables orchestration, retrieval, and collaboration between multiple AI agents.

• Implement and optimize knowledge retrieval systems and agentic search capabilities using vector databases such as Qdrant and ElasticSearch.

• Write well-structured, efficient, and testable Python code for production services, experimentation, and internal developer tools.

• Build and maintain shared Python libraries and SDKs used across multiple applications and microservices.

• Collaborate with cross-functional teams on architecture, internal protocols, and API standards to ensure consistency and reliability across the platform.

• Develop and enhance monitoring, validation, and observability for production-grade AI solutions.

• Drive the full software development lifecycle - from design and implementation to deployment, monitoring, and continuous improvement.

• Identify and resolve performance bottlenecks, reliability issues, and scaling challenges in complex, data-intensive environments.

• Participate in code reviews and technical discussions, mentoring other engineers and contributing to a culture of excellence.

Example Projects

• Building an evaluation and observability framework for AI model performance and reliability.

• Developing an agentic orchestration platform that enables collaboration among multiple AI agents and tools.

• Implementing semantic retrieval and agentic search capabilities over large enterprise knowledge bases.

• Designing AI services that process and reason over high-volume real-world data at scale.

Requirements

Qualifications / Experience / Technical Skills

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience.

• 5+ years of experience as a Software Engineer, with strong proficiency in Python.

• Proven track record of building and maintaining production-grade systems using Python.

• Strong understanding of distributed systems, API design, and data-driven architectures.

• Experience with relational and non-relational databases (PostgreSQL, Elastic, Qdrant, or similar).

• Familiarity with AI/ML system design, including LLM integration and evaluation pipelines.

• Knowledge of DevOps and observability practices (CI/CD, monitoring, metrics, and model validation).

• Python • FastAPI • LLM APIs (OpenAI, Anthropic, Qwen, OSS) • LiteLLM • Qdrant • PostgreSQL • ElasticSearch • Langfuse • Kubernetes • GitHub Actions • ArgoCD

Preferred Skills

• Experience working with multiple LLM providers (OpenAI, Anthropic, Qwen, open-source models).

• Background in developer platforms or AI infrastructure services.

• Familiarity with vector databases, semantic retrieval, and knowledge graph architectures.

• Exposure to Langfuse, LiteLLM, LangChain, or similar frameworks.

• Experience developing enterprise-scale SaaS or distributed backend systems.

• Contributions to open-source projects in Python, AI, or infrastructure engineering.

Soft Skills / Personal Characteristics

• Excellent communication skills, with the ability to convey complex technical ideas clearly to both technical and non-technical audiences.

• Collaborative and proactive approach, comfortable working across teams in a dynamic environment.

• Strong analytical and problem-solving abilities, with a focus on continuous improvement and innovation.

• Curiosity and a genuine interest in emerging AI technologies and modern backend architectures.

(REQ ID: 2459)

About us:

We believe the next generation of financial services will be powered by stablecoins.

Founded in 2021, our mission at BVNK is to accelerate global money movement.

We’re building stablecoin-native infrastructure so businesses can move value instantly across borders and networks. With global licenses and T1 bank partnerships, we facilitate billions in transactions for enterprise clients like Worldpay, Deel, LianLian Global, and Rapyd.

Our technology is transforming how businesses operate globally by eliminating payment delays, reducing costs, and unlocking trapped capital. 

We’re a diverse team spread across EMEA, North America, and APAC, with a shared belief that stablecoins are the new infrastructure layer for financial services, and that BVNK is at the forefront of this shift.

In 2025, we secured strategic investment from Visa, following our $50 million Series B with Haun Ventures, Coinbase Ventures, Scribble Ventures, DRW Venture Capital, Avenir, and Tiger Global. With the backing of these leading investors, we’re accelerating our growth – and we're looking for smart, ambitious people to help us build the future of financial services.

We're incredibly honored to have made Newsweek's list of The Top 100 Global Most Loved Workplaces three years running (most recently in 2025) and to have been recognised by LinkedIn as one of the Top 20 Startups in the UK in 2024.

About this role in the team:

We're looking for an experienced Financial Crime Product Manager to join our team. In this role, you will be responsible for the end-to-end product lifecycle of our financial crime tools and systems, managing the engineering backlog, and driving a roadmap focused on mitigating financial crime risk. This role is crucial to ensuring our technology remains robust, compliant, and ahead of evolving threats like money laundering, fraud, and sanctions evasion.

You will act as the key liaison between the business and our engineering teams, translating complex financial crime requirements into clear, actionable user stories. You will manage the backlog, prioritize tech debt, and champion new features and innovation that directly enhance our ability to detect and prevent illicit financial activity across multiple product lines.

Responsibilities

• Product Strategy & Roadmap: Develop and maintain a clear, prioritised product roadmap for all FinCrime tools and systems. Ensure this roadmap aligns with business objectives, regulatory requirements, and our overall risk strategy.
• Backlog Management: Own and manage the engineering backlog. This includes writing detailed user stories, refining requirements, and prioritising features, enhancements, tech debt, and bugs to ensure a continuous and efficient development cycle.
• Stakeholder Management: Serve as the primary point of contact for engineering teams. Effectively communicate product vision, requirements, and priorities. Work closely with Compliance, Legal, Financial Crime Intelligence, and other business stakeholders to gather requirements and define product solutions.
• Innovation & Enhancement: Proactively identify opportunities for innovation and new features that improve the effectiveness and efficiency of our financial crime prevention capabilities. This includes leveraging new technologies like machine learning and AI to enhance our detection models.
• Regulatory & Compliance Expertise: Stay up-to-date with global financial crime regulations (e.g., AML, KYC, Sanctions, and Fraud) and emerging trends. Ensure our products are built and maintained in a way that meets or exceeds these compliance standards.
• Performance Analysis: Define and track key performance indicators (KPIs) for our FinCrime products. Use data and insights to inform product decisions, measure success, and identify areas for improvement.
• Risk & Prioritization: Prioritise work based on a clear understanding of risk, business value, and technical complexity. Make difficult trade-off decisions to balance competing priorities from different business units.

Required Qualifications & Experience

• 3+ Years of experience as a Product Manager, preferably within the FinTech, Financial Services, or a related technology-driven environment.
• Proven experience managing an engineering backlog and working directly with development teams in an Agile or Scrum framework.
• Strong understanding of financial crime prevention, including Anti-Money Laundering (AML), Know Your Customer (KYC), Sanctions Screening, and Fraud Detection.
• Excellent communication skills with the ability to articulate complex technical and regulatory concepts to both technical and non-technical audiences.
• A data-driven mindset and a track record of using data to inform product decisions.
• Experience in a highly regulated industry.

Desirable Skills

• Familiarity with financial crime tools and platforms (e.g., Transaction Monitoring systems, Case Management tools, Sanctions Screening software).
• Experience with multiple products and complex stakeholder groups.

What you can expect from us:

• Fair and competitive salary at every stage of your growth
• Meaningful ownership in the business through our employee option scheme
• Flexible working hours, with hybrid working at its heart
• A culture built on passionate, growth-minded people
• A flexible approach to holiday
• Opportunities to travel to our offices around the world
• An open and creative environment where you can help us define the future of BVNK, its culture, and its opportunity sets

At BVNK, we are focused on building a diverse and inclusive team. While you may not meet all of our requirements, we’d encourage you to apply if you meet the majority of our expectations. You may be a great fit for this role or another role in our team.

ABOUT THE ROLE:

As an Engineering Manager at Tide, you will be responsible for building and running the products your team owns, covering everything our members need to run their business, from banking and payments through to administration and operational tooling.

This role offers an exceptional opportunity to make a real difference by taking ownership of engineering practices in a rapidly expanding company! We trust and empower our Engineering Managers to make real architectural decisions that affect their domain and shape the future of Tide’s Platform.

We operate in domain-aligned, full-stack teams that own products end to end. Engineers self-organise, collaborate on technical challenges, and define shared standards through Communities of Practice.

• Leading & Directly managing a cross functional team of 8-12 engineers
• Partnering with a Product Manager to form the Product Engineering Duo
• Deeply caring about what’s being built as much as the how
• Being responsible of the delivery of the team - quality, stability, timelines, dependencies
• Being responsible of the tech excellence and architecture within the scope of the team
• Driving the continuous improvement of the team performance as measured by DORA
• Securing the continuous growth and wellbeing of the engineers on their team
• Being hands-on, carefully dividing your time between design, coding and coaching other team members. You will be the person people turn to seeking advice and solutions to difficult problems.

WHAT WE ARE LOOKING FOR: 

• Extensive experience (10+ years) building server-side applications and detailed knowledge of of Python, Java, C#, or another similar language
• Sound knowledge of a backend framework (e.g. Spring/Spring Boot) 
• Experience with running microservices and implementing and consuming RESTful APIs
• Experience engineering scalable and reliable solutions in a cloud-native environment 
• A mindset of delivering secure, well-tested and well-documented software 
• Full ownership of your code and technical solutions across their entire lifecycle, from development to production.
• Experience integrating with various third party providers and partners 
• Sound knowledge and experience working with relational databases
• Work effectively in an agile environment, using its practices to deliver value consistently and adapt quickly
• Ability to communicate technical concepts to a non-technical audience 
• Apply continuous integration, delivery, and deployment practices in day-to-day development to deliver software reliably to production
• A technical hands on leader who is in the details of what the team is working on day to day
• Experience  leading teams
• Experience directly managing people

Our Tech Stack

• Python, Java, Spring Boot and JOOQ to build the RESTful APIs of our microservices (but we welcome people who are used to any strongly typed general purpose programming language!) 
• Event-driven architecture with messages over SNS+SQS and Kafka to make them reliable 
• Primary datastores are PostgreSQL via RDS or Aurora (we are heavy AWS users) 
• Docker, Terraform, ArgoCD and, EKS provided by the Cloud team to run the platform 
• DataDog for monitoring, observability and automated SLOs
• GitHub, Semgrep and solid testing to power the CI/CD pipelines - new joiners are encouraged to have something deployed to production in their first week 
• Angular on Web, Flutter for our mobile app, but from time to time we use Swift and Kotlin
• Fivetran/BigQuery/Looker for the BI insights and Python/FastAPI/Faust + some ML libs for the automated decisioning and risk management

WHAT YOU’LL GET IN RETURN: 

Our location-specific employee benefits are designed to cater to the unique needs of Tideans: 

• 25 days paid annual leave
• 3 paid days off for volunteering or L&D activities
• Extended maternity and paternity leave covered by the company
• Personal L&D budget in the amount of 500 EUR per year
• Additional health & dental insurance
• Mental wellbeing platform
• Fully covered Multisports card
• Food vouchers
• Snacks, light food, drinks in the office
• WFH equipment allowance
• Flexible working from home
• Sabbatical Leave
• Share options

TIDEAN WAYS OF WORKING

At Tide, we champion a flexible workplace model that supports both in-person and remote work to cater to the specific needs of our different teams. 

While remote work is supported, we believe in the power of face-to-face interactions to foster team spirit and collaboration. Our offices are designed as hubs for innovation and team-building, where we encourage regular in-person gatherings to foster a strong sense of community.

ABOUT THE ROLE:

As an Engineering Manager at Tide, you will be responsible for building and running the products your team owns, covering everything our members need to run their business, from banking and payments through to administration and operational tooling.

This role offers an exceptional opportunity to make a real difference by taking ownership of engineering practices in a rapidly expanding company! We trust and empower our Engineering Managers to make real architectural decisions that affect their domain and shape the future of Tide’s Platform.

We operate in domain-aligned, full-stack teams that own products end to end. Engineers self-organise, collaborate on technical challenges, and define shared standards through Communities of Practice.

• Leading & Directly managing a cross functional team of 8-12 engineers
• Partnering with a Product Manager to form the Product Engineering Duo
• Deeply caring about what’s being built as much as the how
• Being responsible of the delivery of the team - quality, stability, timelines, dependencies
• Being responsible of the tech excellence and architecture within the scope of the team
• Driving the continuous improvement of the team performance as measured by DORA
• Securing the continuous growth and wellbeing of the engineers on their team
• Being hands-on, carefully dividing your time between design, coding and coaching other team members. You will be the person people turn to seeking advice and solutions to difficult problems.

WHAT WE ARE LOOKING FOR: 

• Extensive experience (10+ years) building server-side applications and detailed knowledge of of Python, Java, C#, or another similar language
• Sound knowledge of a backend framework (e.g. Spring/Spring Boot) 
• Experience with running microservices and implementing and consuming RESTful APIs
• Experience engineering scalable and reliable solutions in a cloud-native environment 
• A mindset of delivering secure, well-tested and well-documented software 
• Full ownership of your code and technical solutions across their entire lifecycle, from development to production.
• Experience integrating with various third party providers and partners 
• Sound knowledge and experience working with relational databases
• Work effectively in an agile environment, using its practices to deliver value consistently and adapt quickly
• Ability to communicate technical concepts to a non-technical audience 
• Apply continuous integration, delivery, and deployment practices in day-to-day development to deliver software reliably to production
• A technical hands on leader who is in the details of what the team is working on day to day
• Experience  leading teams
• Experience directly managing people

Our Tech Stack

• Python, Java, Spring Boot and JOOQ to build the RESTful APIs of our microservices (but we welcome people who are used to any strongly typed general purpose programming language!) 
• Event-driven architecture with messages over SNS+SQS and Kafka to make them reliable 
• Primary datastores are PostgreSQL via RDS or Aurora (we are heavy AWS users) 
• Docker, Terraform, ArgoCD and, EKS provided by the Cloud team to run the platform 
• DataDog for monitoring, observability and automated SLOs
• GitHub, Semgrep and solid testing to power the CI/CD pipelines - new joiners are encouraged to have something deployed to production in their first week 
• Angular on Web, Flutter for our mobile app, but from time to time we use Swift and Kotlin
• Fivetran/BigQuery/Looker for the BI insights and Python/FastAPI/Faust + some ML libs for the automated decisioning and risk management

WHAT YOU’LL GET IN RETURN: 

Our location-specific employee benefits are designed to cater to the unique needs of Tideans: 

• Remote first
• 25 days of paid annual leave
• 3 paid days off for volunteering or L&D activities
• Private Health Insurance
• Mental Health Support Platform
• FitPass
• Family and friendly leave (according to statutory)
• Personal L&D budget
• Share Options

TIDEAN WAYS OF WORKING

At Tide, we champion a flexible workplace model that supports both in-person and remote work to cater to the specific needs of our different teams. 

While remote work is supported, we believe in the power of face-to-face interactions to foster team spirit and collaboration. Our offices are designed as hubs for innovation and team-building, where we encourage regular in-person gatherings to foster a strong sense of community.

ABOUT THE ROLE:

As an Engineering Manager at Tide, you will be responsible for building and running the products your team owns, covering everything our members need to run their business, from banking and payments through to administration and operational tooling.

This role offers an exceptional opportunity to make a real difference by taking ownership of engineering practices in a rapidly expanding company! We trust and empower our Engineering Managers to make real architectural decisions that affect their domain and shape the future of Tide’s Platform.

We operate in domain-aligned, full-stack teams that own products end to end. Engineers self-organise, collaborate on technical challenges, and define shared standards through Communities of Practice.

• Leading & Directly managing a cross functional team
• Partnering with a Product Manager to form the Product Engineering Duo
• Deeply caring about what’s being built as much as the how
• Being responsible of the delivery of the team - quality, stability, timelines, dependencies
• Being responsible of the tech excellence and architecture within the scope of the team
• Driving the continuous improvement of the team performance as measured by DORA
• Securing the continuous growth and wellbeing of the engineers on their team
• Being hands-on, carefully dividing your time between design, coding and coaching other team members. You will be the person people turn to seeking advice and solutions to difficult problems.

WHAT WE ARE LOOKING FOR: 

• Extensive experience (10+ years) building server-side applications and detailed knowledge of Java
• Sound knowledge of a backend framework (e.g. Spring/Spring Boot) 
• Experience with running microservices and implementing and consuming RESTful APIs
• Experience engineering scalable and reliable solutions in a cloud-native environment 
• A mindset of delivering secure, well-tested and well-documented software 
• Full ownership of your code and technical solutions across their entire lifecycle, from development to production.
• Experience integrating with various third party providers and partners 
• Sound knowledge and experience working with relational databases
• Work effectively in an agile environment, using its practices to deliver value consistently and adapt quickly
• Ability to communicate technical concepts to a non-technical audience 
• Apply continuous integration, delivery, and deployment practices in day-to-day development to deliver software reliably to production
• A technical hands on leader who is in the details of what the team is working on day to day
• Experience  leading teams
• Experience directly managing people

Our Tech Stack

• Java, Spring Boot and JOOQ to build the RESTful APIs of our microservices (but we welcome people who are used to any strongly typed general purpose programming language!) 
• Event-driven architecture with messages over SNS+SQS and Kafka to make them reliable 
• Primary datastores are PostgreSQL via RDS or Aurora (we are heavy AWS users) 
• Docker, Terraform, ArgoCD and, EKS provided by the Cloud team to run the platform 
• DataDog for monitoring, observability and automated SLOs
• GitHub, Semgrep and solid testing to power the CI/CD pipelines - new joiners are encouraged to have something deployed to production in their first week 
• Angular on Web, Flutter for our mobile app, but from time to time we use Swift and Kotlin
• Fivetran/BigQuery/Looker for the BI insights and Python/FastAPI/Faust + some ML libs for the automated decisioning and risk management

WHAT YOU’LL GET IN RETURN

• The gross monthly salary for this position ranges from 7400€ to 11560€, depending on your skills, and experience.
• Private Health Insurance
• 25 days paid annual leave
• 3 paid days off for volunteering or L&D activities
• Parental Leave days 
• Family-Friendly Leave 
• Personal L&D budget in the amount of 500 EUR per year
• Mental wellbeing platform Plumm
• WFH equipment allowance
• Sabbatical Leave
• Share options
• Team Events

TIDEAN WAYS OF WORKING

At Tide, we champion a flexible workplace model that supports both in-person and remote work to cater to the specific needs of our different teams. 

While remote work is supported, we believe in the power of face-to-face interactions to foster team spirit and collaboration. Our offices are designed as hubs for innovation and team-building, where we encourage regular in-person gatherings to foster a strong sense of community.

We are hiring across multiple locations

India: Hyderabad, Delhi NCR, Bengaluru
Europe: London, Serbia, Sofia, Lithuania, Berlin

We are hiring across multiple locations

India: Hyderabad, Delhi NCR, Bengaluru
Europe: London, Serbia, Sofia, Lithuania, Berlin

ABOUT THE ROLE

Be at the forefront of the AI revolution, working on cutting-edge projects that shape the future of financial services. You’ll join a passionate team focused on building high-quality, scalable products with real-world impact.

We’re looking for a Staff-level Backend Engineer (AI) to bridge robust backend systems with Generative AI. You’ll design the frameworks, standards, and platforms that allow AI capabilities to scale securely, reliably, and efficiently across the enterprise, going beyond feature delivery to influence long-term technical direction.

As a Staff Engineer you’ll:

• Build core services for Tide’s agentic platform, including APIs, workflow orchestration, and tool integration 
• Integrate bought components where they accelerate delivery, and build where control, trust, and reuse matter most
• Work with product, data, platform, and security teams to productionise shared AI capabilities
• Design services that are reliable, secure, observable, and easy for other teams to adopt
• Help shape reusable engineering patterns for AI-enabled workflows

WHAT WE ARE LOOKING FOR:

• Strong backend or platform engineering experience in production environments.
• Good judgement across APIs, distributed systems, cloud infrastructure, and service design.
• Experience integrating internal and third-party platforms.
• Comfort working in ambiguity and turning emerging needs into robust platform components.
• Strong focus on quality, reliability, and developer usability.
• Experience with AI infrastructure or orchestration is helpful, but not essential.
• Experience in highly regulated industries (Fintech, Healthtech, etc.) where safety and compliance are core to the product is valuable, but not essential.
• Design and build automated evaluation pipelines to measure agent reasoning accuracy and safety trajectories

Our Tech Stack:

• Java, Spring Boot and JOOQ to build the RESTful APIs of our microservices (but we welcome people who are used to any strongly typed general purpose programming language!)
• Event-driven architecture with messages over SNS+SQS and Kafka to make them reliable
• Primary datastores are MySQL and PostgreSQL via RDS or Aurora (we are heavy AWS users)
• Docker, Terraform, EKS used by the Cloud team to run the platform
• DataDog and Rollbar to keep it running
• GitHub with Sonarcloud, Semgrep and solid testing to power the CI/CD pipelines - new joiners are encouraged to have something deployed to production in their first 2 weeks
• Angular 2+ with ngrx on Web, Flutter for the Mobile App
• Fivetran/Snowflake/Looker for the BI insights and Python/Faust/Flask/Tecton + some ML libs for the automated decisioning and risk management

MariaDB is making a big impact on the world. Whether you’re checking your bank account, buying a coffee, shopping online, making a phone call, listening to music, taking out a loan or ordering takeout – MariaDB is the backbone of applications used everyday. Companies small and large, including 75% of the Fortune 500, run MariaDB, touching the lives of billions of people. With massive reach through Linux distributions, enterprise deployments and public clouds, MariaDB is uniquely positioned as the leading database for modern application development.

About the Role

We're hiring a Senior Data Scientist with strong programming skills, a deep command of analytical methods, and the ability to turn complex data into clear business insights. You'll join a small, highly skilled team where your work has a direct impact on how the business operates and makes decisions.

This is a hands-on, high-autonomy role. You'll work across the full data stack-writing sophisticated SQL in BigQuery and MariaDB, building automation and tooling in Python, and leveraging AI-powered tools like Windsurf, Gemini, and Claude to work faster and smarter. You'll be expected to understand how data is structured end-to-end, from source systems through to the warehouse, and to know which analytical approach fits which business question.

You'll also be a key communicator-translating complex data into clear narratives for stakeholders across the organization. We need someone who can operate independently, manage their own priorities, and continuously raise the bar on what's possible with our data. If you have a genuine passion for analytics, a GitHub full of projects, and you're the kind of person who's always learning the next thing-we'd love to hear from you.

Key Responsibilities

• Apply the right analytical methods-statistical analysis, regression, clustering, forecasting, classification-to solve real business problems at scale
• Design and build end-to-end analytical solutions-from data extraction in BigQuery and MariaDB to actionable insights and automated reporting
• Develop and maintain data pipelines, analytical frameworks, and tooling using Python and SQL
• Use AI-powered development tools (Windsurf, Gemini, Claude, Cursor) to accelerate experimentation, code generation, and analysis
• Leverage the latest AI features and tools (LLMs, embeddings, generative AI) to augment and automate analytical workflows
• Build lightweight applications and APIs (FastAPI) to put models and insights into the hands of stakeholders
• Own the data architecture decisions within your domain-schema design, data modeling, and pipeline reliability
• Communicate results, trade-offs, and recommendations clearly to both technical and business audiences
• Map and improve business processes through data-driven analysis and process design

Requirements & Qualifications

• 7+ years of professional experience in data science, advanced analytics, or a quantitative field
• Expert-level SQL - deep fluency in BigQuery and MariaDB or similar data platforms; you understand query optimization, partitioning, and data modeling
• Strong Python and/or JavaScript skills - production-quality code, not just notebooks; experience with modern data and ML libraries
• Deep understanding of analytical methods - regression, clustering, time series, A/B testing, classification; you know when to apply what and why
• Solid understanding of data architecture - how warehouses, lakes, and pipelines are designed; how to structure data for both analytical and ML workloads
• Proficiency with AI-powered development tools - Windsurf, Gemini, Claude, Cursor, or similar; you leverage AI assistants as a core part of your workflow
• Excellent communication skills - you present complex technical work in a way that drives decisions
• Self-managing and self-sufficient - you set your own priorities, unblock yourself, and deliver without hand-holding
• Relentlessly curious and ambitious - you're always learning, always building, always improving
• A public GitHub profile showcasing your projects, experiments, or contributions

Nice to Have

• Experience with Next.js or modern frontend frameworks for building data-facing applications
• FastAPI experience for serving models or internal tooling
• Background in business process analysis or operational process design
• Experience working across multiple business departments (Finance, Marketing, Sales, Operations, Engineering) - broad organizational exposure is a big plus
• Experience with JSON-based data formats, APIs, and integration patterns
• Understanding of Docker and Kubernetes - containerization and cluster orchestration experience is a big plus

Benefits & Culture

• Globally distributed team environment
• Remote or hybrid work options (location-dependent)
• Challenging projects with company-wide impact
• Competitive compensation, 25 days paid annual leave, plus holidays
• A culture that values curiosity, clean engineering, and people who genuinely love what they do

Location – Romania (remote)

Travel – Flexible for adhoc travel

What's in it for you?

Impact the world of technology by pushing the boundaries of technology and business models, working at MariaDB, plc. Be part of a game-changing organization that encourages outside-the-box thinking, values empowerment, and is truly shaping the future of the software industry. 

You’ll be collaborating with high-caliber colleagues around the world, offering unparalleled learning and growth opportunities. We provide a very competitive compensation package, 25 days paid annual leave (plus holidays) and a massive degree of flexibility and freedom, and more.

Salaries for candidates outside the U.S. will vary based on local compensation structures.

How to Apply

If you are interested in this position, please submit your application along with your CV/Resume through our ATS Greenhouse on our MariaDB Careers site.

• At MariaDB we celebrate the diverse experiences and perspectives of our employees because this drives innovation and success. MariaDB is an equal opportunity employer dedicated to creating a welcoming and inclusive workplace for everyone.
• MariaDB does not sponsor work visas or relocation.
• MariaDB is committed to providing accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter.
• MariaDB will not accept agency resumes without a prior contractual agreement with HR. Please do not forward resumes to any recruiting alias or employee directly. MariaDB is not responsible for paying any fees associated with any unsolicited submitted CV/Resumes.

MariaDB is making a big impact on the world. Whether you’re checking your bank account, buying a coffee, shopping online, making a phone call, listening to music, taking out a loan or ordering takeout – MariaDB is the backbone of applications used everyday. Companies small and large, including 75% of the Fortune 500, run MariaDB, touching the lives of billions of people. With massive reach through Linux distributions, enterprise deployments and public clouds, MariaDB is uniquely positioned as the leading database for modern application development.

About the Role

We're hiring a Senior Data Scientist with strong programming skills, a deep command of analytical methods, and the ability to turn complex data into clear business insights. You'll join a small, highly skilled team where your work has a direct impact on how the business operates and makes decisions.

This is a hands-on, high-autonomy role. You'll work across the full data stack-writing sophisticated SQL in BigQuery and MariaDB, building automation and tooling in Python, and leveraging AI-powered tools like Windsurf, Gemini, and Claude to work faster and smarter. You'll be expected to understand how data is structured end-to-end, from source systems through to the warehouse, and to know which analytical approach fits which business question.

You'll also be a key communicator-translating complex data into clear narratives for stakeholders across the organization. We need someone who can operate independently, manage their own priorities, and continuously raise the bar on what's possible with our data. If you have a genuine passion for analytics, a GitHub full of projects, and you're the kind of person who's always learning the next thing-we'd love to hear from you.

Key Responsibilities

• Apply the right analytical methods-statistical analysis, regression, clustering, forecasting, classification-to solve real business problems at scale
• Design and build end-to-end analytical solutions-from data extraction in BigQuery and MariaDB to actionable insights and automated reporting
• Develop and maintain data pipelines, analytical frameworks, and tooling using Python and SQL
• Use AI-powered development tools (Windsurf, Gemini, Claude, Cursor) to accelerate experimentation, code generation, and analysis
• Leverage the latest AI features and tools (LLMs, embeddings, generative AI) to augment and automate analytical workflows
• Build lightweight applications and APIs (FastAPI) to put models and insights into the hands of stakeholders
• Own the data architecture decisions within your domain-schema design, data modeling, and pipeline reliability
• Communicate results, trade-offs, and recommendations clearly to both technical and business audiences
• Map and improve business processes through data-driven analysis and process design

Requirements & Qualifications

• 7+ years of professional experience in data science, advanced analytics, or a quantitative field
• Expert-level SQL - deep fluency in BigQuery and MariaDB or similar data platforms; you understand query optimization, partitioning, and data modeling
• Strong Python and/or JavaScript skills - production-quality code, not just notebooks; experience with modern data and ML libraries
• Deep understanding of analytical methods - regression, clustering, time series, A/B testing, classification; you know when to apply what and why
• Solid understanding of data architecture - how warehouses, lakes, and pipelines are designed; how to structure data for both analytical and ML workloads
• Proficiency with AI-powered development tools - Windsurf, Gemini, Claude, Cursor, or similar; you leverage AI assistants as a core part of your workflow
• Excellent communication skills - you present complex technical work in a way that drives decisions
• Self-managing and self-sufficient - you set your own priorities, unblock yourself, and deliver without hand-holding
• Relentlessly curious and ambitious - you're always learning, always building, always improving
• A public GitHub profile showcasing your projects, experiments, or contributions

Nice to Have

• Experience with Next.js or modern frontend frameworks for building data-facing applications
• FastAPI experience for serving models or internal tooling
• Background in business process analysis or operational process design
• Experience working across multiple business departments (Finance, Marketing, Sales, Operations, Engineering) - broad organizational exposure is a big plus
• Experience with JSON-based data formats, APIs, and integration patterns
• Understanding of Docker and Kubernetes - containerization and cluster orchestration experience is a big plus

Benefits & Culture

• Globally distributed team environment
• Remote or hybrid work options (location-dependent)
• Challenging projects with company-wide impact
• Competitive compensation, 25 days paid annual leave, plus holidays
• A culture that values curiosity, clean engineering, and people who genuinely love what they do

Location – India (remote)

Travel – Flexible for adhoc travel

What's in it for you?

Impact the world of technology by pushing the boundaries of technology and business models, working at MariaDB, plc. Be part of a game-changing organization that encourages outside-the-box thinking, values empowerment, and is truly shaping the future of the software industry. 

You’ll be collaborating with high-caliber colleagues around the world, offering unparalleled learning and growth opportunities. We provide a very competitive compensation package, 25 days paid annual leave (plus holidays) and a massive degree of flexibility and freedom, and more.

Salaries for candidates outside the U.S. will vary based on local compensation structures.

How to Apply

If you are interested in this position, please submit your application along with your CV/Resume through our ATS Greenhouse on our MariaDB Careers site.

• At MariaDB we celebrate the diverse experiences and perspectives of our employees because this drives innovation and success. MariaDB is an equal opportunity employer dedicated to creating a welcoming and inclusive workplace for everyone.
• MariaDB does not sponsor work visas or relocation.
• MariaDB is committed to providing accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter.
• MariaDB will not accept agency resumes without a prior contractual agreement with HR. Please do not forward resumes to any recruiting alias or employee directly. MariaDB is not responsible for paying any fees associated with any unsolicited submitted CV/Resumes.

MariaDB is making a big impact on the world. Whether you’re checking your bank account, buying a coffee, shopping online, making a phone call, listening to music, taking out a loan or ordering takeout – MariaDB is the backbone of applications used everyday. Companies small and large, including 75% of the Fortune 500, run MariaDB, touching the lives of billions of people. With massive reach through Linux distributions, enterprise deployments and public clouds, MariaDB is uniquely positioned as the leading database for modern application development.

About the Role

We're looking for a Senior Data Analytics Engineer who lives and breathes data-someone who combines strong engineering skills with analytical depth. You'll join a small, high-impact team where you don't just analyze data, you build the systems and pipelines that make analytics possible. This isn't a dashboards-and-decks role-you'll engineer solutions across the full analytics stack, from designing reliable data pipelines in BigQuery and MariaDB to building internal tools and APIs that put insights into the hands of the business.

Day to day, you'll write sophisticated SQL in BigQuery and MariaDB, architect and build automation and tooling in Python and FastAPI, and use AI-powered development tools like Windsurf, Gemini, and Claude as a core part of how you work. You need to understand data architecture deeply-how information flows from source systems through pipelines into the warehouse, how schemas are designed, and how to build infrastructure that scales and stays maintainable.

Communication is a big part of this role. You'll work closely with stakeholders across the business, translating complex data into clear, actionable insights. But equally important is your ability to engineer robust, repeatable solutions-not one-off analyses. We need someone who can own their domain end-to-end: define the right questions, build the data infrastructure, deliver the analysis, and present it in a way that drives decisions. If you're self-sufficient, ambitious, always looking to improve, and you have a GitHub profile that shows what you're capable of-we want to talk to you.

Key Responsibilities

• Design, build, and maintain analytical pipelines and reporting solutions on BigQuery and MariaDB
• Write sophisticated, performant SQL to extract insights from large-scale datasets
• Leverage AI and machine learning features to augment analytics workflows and deliver smarter outputs
• Use AI-powered development tools (Windsurf, Gemini, Claude, Cursor) to accelerate your workflow and deliver at a higher level
• Develop internal tooling and automation using Python, FastAPI, and modern frameworks
• Communicate findings clearly to technical and non-technical stakeholders-translate data into action
• Understand and document data architecture, lineage, and how information flows across systems
• Collaborate on business process analysis and process design improvements driven by data
• Proactively identify opportunities for deeper analysis, better tooling, and operational improvements

Requirements & Qualifications

• 7+ years of professional experience in data analytics engineering, data engineering, or a related field
• Expert-level SQL - you think in joins, window functions, and CTEs; BigQuery and MariaDB experience strongly preferred
• Strong Python and/or JavaScript skills - comfortable building pipelines, internal tools, APIs, and automation; not just scripts
• js experience - ability to build data-facing web applications and internal dashboards
• Deep understanding of data architecture - how databases are structured, how data flows, how schemas evolve
• Hands-on experience with AI/ML - you stay current with the latest capabilities (LLMs, generative AI, embeddings) and know how to apply them practically
• Proficiency with AI-powered development tools - Windsurf, Gemini, Claude, Cursor, or similar; you use AI to multiply your output, not as a crutch
• Excellent communication skills - you can explain complex analysis to anyone in the room
• Self-sufficient and self-managing - you own your work end-to-end without needing to be told what to do next
• Ambitious and continuously improving - you seek out new skills, tools, and techniques on your own
• A public GitHub profile with examples of your work (personal projects, contributions, experiments)

Nice to Have

• FastAPI experience for building internal APIs and services
• Background in business process design or operational analytics
• Exposure to multiple business departments (Finance, Marketing, Sales, Operations, Engineering) - you understand how data flows across an organization, not just within one silo
• Understanding of Docker and Kubernetes - containerization and cluster orchestration experience is a big plus

Location – Romania (remote)

Travel - As required for the job (minimal).

What's in it for you?

Impact the world of technology by pushing the boundaries of technology and business models, working at MariaDB, plc. Be part of a game-changing organization that encourages outside-the-box thinking, values empowerment, and is truly shaping the future of the software industry. 

You’ll be collaborating with high-caliber colleagues around the world, offering unparalleled learning and growth opportunities. We provide a very competitive compensation package, 25 days paid annual leave (plus holidays) and a massive degree of flexibility and freedom, and more.

Salaries for candidates outside the U.S. will vary based on local compensation structures.

How to Apply

If you are interested in this position, please submit your application along with your CV/Resume through our ATS Greenhouse on our MariaDB Careers site.

• At MariaDB we celebrate the diverse experiences and perspectives of our employees because this drives innovation and success. MariaDB is an equal opportunity employer dedicated to creating a welcoming and inclusive workplace for everyone.
• MariaDB does not sponsor work visas or relocation.
• MariaDB is committed to providing accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter.
• MariaDB will not accept agency resumes without a prior contractual agreement with HR. Please do not forward resumes to any recruiting alias or employee directly. MariaDB is not responsible for paying any fees associated with any unsolicited submitted CV/Resumes.

MariaDB is making a big impact on the world. Whether you’re checking your bank account, buying a coffee, shopping online, making a phone call, listening to music, taking out a loan or ordering takeout – MariaDB is the backbone of applications used everyday. Companies small and large, including 75% of the Fortune 500, run MariaDB, touching the lives of billions of people. With massive reach through Linux distributions, enterprise deployments and public clouds, MariaDB is uniquely positioned as the leading database for modern application development.

About the Role

We're looking for a Senior Data Analytics Engineer who lives and breathes data-someone who combines strong engineering skills with analytical depth. You'll join a small, high-impact team where you don't just analyze data, you build the systems and pipelines that make analytics possible. This isn't a dashboards-and-decks role-you'll engineer solutions across the full analytics stack, from designing reliable data pipelines in BigQuery and MariaDB to building internal tools and APIs that put insights into the hands of the business.

Day to day, you'll write sophisticated SQL in BigQuery and MariaDB, architect and build automation and tooling in Python and FastAPI, and use AI-powered development tools like Windsurf, Gemini, and Claude as a core part of how you work. You need to understand data architecture deeply-how information flows from source systems through pipelines into the warehouse, how schemas are designed, and how to build infrastructure that scales and stays maintainable.

Communication is a big part of this role. You'll work closely with stakeholders across the business, translating complex data into clear, actionable insights. But equally important is your ability to engineer robust, repeatable solutions-not one-off analyses. We need someone who can own their domain end-to-end: define the right questions, build the data infrastructure, deliver the analysis, and present it in a way that drives decisions. If you're self-sufficient, ambitious, always looking to improve, and you have a GitHub profile that shows what you're capable of-we want to talk to you.

Key Responsibilities

• Design, build, and maintain analytical pipelines and reporting solutions on BigQuery and MariaDB
• Write sophisticated, performant SQL to extract insights from large-scale datasets
• Leverage AI and machine learning features to augment analytics workflows and deliver smarter outputs
• Use AI-powered development tools (Windsurf, Gemini, Claude, Cursor) to accelerate your workflow and deliver at a higher level
• Develop internal tooling and automation using Python, FastAPI, and modern frameworks
• Communicate findings clearly to technical and non-technical stakeholders-translate data into action
• Understand and document data architecture, lineage, and how information flows across systems
• Collaborate on business process analysis and process design improvements driven by data
• Proactively identify opportunities for deeper analysis, better tooling, and operational improvements

Requirements & Qualifications

• 7+ years of professional experience in data analytics engineering, data engineering, or a related field
• Expert-level SQL - you think in joins, window functions, and CTEs; BigQuery and MariaDB experience strongly preferred
• Strong Python and/or JavaScript skills - comfortable building pipelines, internal tools, APIs, and automation; not just scripts
• js experience - ability to build data-facing web applications and internal dashboards
• Deep understanding of data architecture - how databases are structured, how data flows, how schemas evolve
• Hands-on experience with AI/ML - you stay current with the latest capabilities (LLMs, generative AI, embeddings) and know how to apply them practically
• Proficiency with AI-powered development tools - Windsurf, Gemini, Claude, Cursor, or similar; you use AI to multiply your output, not as a crutch
• Excellent communication skills - you can explain complex analysis to anyone in the room
• Self-sufficient and self-managing - you own your work end-to-end without needing to be told what to do next
• Ambitious and continuously improving - you seek out new skills, tools, and techniques on your own
• A public GitHub profile with examples of your work (personal projects, contributions, experiments)

Nice to Have

• FastAPI experience for building internal APIs and services
• Background in business process design or operational analytics
• Exposure to multiple business departments (Finance, Marketing, Sales, Operations, Engineering) - you understand how data flows across an organization, not just within one silo
• Understanding of Docker and Kubernetes - containerization and cluster orchestration experience is a big plus

Location – India (remote)

Travel - As required for the job (minimal).

What's in it for you?

Impact the world of technology by pushing the boundaries of technology and business models, working at MariaDB, plc. Be part of a game-changing organization that encourages outside-the-box thinking, values empowerment, and is truly shaping the future of the software industry. 

You’ll be collaborating with high-caliber colleagues around the world, offering unparalleled learning and growth opportunities. We provide a very competitive compensation package, 25 days paid annual leave (plus holidays) and a massive degree of flexibility and freedom, and more.

Salaries for candidates outside the U.S. will vary based on local compensation structures.

How to Apply

If you are interested in this position, please submit your application along with your CV/Resume through our ATS Greenhouse on our MariaDB Careers site.

• At MariaDB we celebrate the diverse experiences and perspectives of our employees because this drives innovation and success. MariaDB is an equal opportunity employer dedicated to creating a welcoming and inclusive workplace for everyone.
• MariaDB does not sponsor work visas or relocation.
• MariaDB is committed to providing accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter.
• MariaDB will not accept agency resumes without a prior contractual agreement with HR. Please do not forward resumes to any recruiting alias or employee directly. MariaDB is not responsible for paying any fees associated with any unsolicited submitted CV/Resumes.