Lead Full Stack - AI Engineer (Relocation to Qatar)

We are seeking a Lead Full Stack AI Engineer to help deliver pragmatic AI architectures (RAG, agents, copilots, automation) embedded in cloud-native microservices and enterprise data platforms at EPAM, with eventual relocation to Qatar. You will shape spec-driven delivery and production-grade Java/Spring Boot AI integrations in a global team. Apply now.

This is an on-site position in Qatar, requiring 3 days per week to be worked at the client's office, and the rest to be worked from anywhere in Qatar. Please only apply if you are willing to relocate to Qatar (and you are eligible). Relocation is supported by the project.

Responsibilities

• Design pragmatic AI architectures integrated into cloud-native microservices and enterprise data platforms
• Decide when to use RAG vs agents vs conventional approaches and guide teams on tradeoffs
• Deliver production LLM integrations embedded into Java/Spring Boot services, including retrieval, embeddings, and vector stores where relevant
• Build and maintain agentic use cases, write and run agents, and implement program-defined guardrails
• Implement spec-driven development (SDD) specs and templates, and enforce governance and quality gates
• Embed SDD into delivery workflows and contribute to playbooks, training, documentation, and mentoring across squads
• Deploy and operate solutions on AKS and Azure hosting with platform and SRE guidance
• Implement observability, rollout and versioning, and CI/CD for prompts, specs, and models
• Apply responsible AI controls and data handling constraints aligned to client policies and engineering standards
• Track adoption, productivity, quality, and risk KPIs for AI-enabled delivery

Requirements

• 5+ years of hands-on experience with Core Java, Spring/Spring Boot, web services, and microservices
• 1–2+ years of hands-on experience delivering LLMs, RAG, and agentic systems in production or strong enterprise PoCs
• Strong leadership skills to guide technical decisions such as when to use RAG vs agents vs conventional approaches
• Proven project delivery skills to embed spec-driven development (SDD) into team workflows and quality gates
• Strong cloud-native architecture knowledge including database concepts, Kafka, and GitLab
• Strong communication skills to collaborate effectively in a global team
• Upper-Intermediate English proficiency (B2)
• Practical experience applying SDD, including running and writing agents and implementing guardrails
• Hands-on experience integrating agentic and/or RAG capabilities into engineering workflows
• Production mindset for testing, observability, safe rollout, and secure-by-design implementation
• Strong analytical skills to balance cost, productivity, quality, and risk in LLM and agentic solutions
• Strong prompt engineering skills with an evaluation and testing mindset
• Familiarity with Azure hosting including AKS and/or Azure Web Apps, and CI/CD with GitLab

Nice to have

• React knowledge

We offer

• Private healthcare and life insurance
• End of service gratuity
• Annual air travel tickets for expatriates
• Corporate Programs including Employee Referral Program with rewards
• Learning and development opportunities including in-house training and coaching, professional certifications, and courses