Lead Java Engineer with AI tools (Relocation to Qatar)

EPAM·Uzbekistan·Удалённо, Офис·сегодня

We are seeking a Lead Java Engineer with AI tools to join our team, with eventual relocation to Qatar. EPAM is renowned for delivering cutting-edge technological solutions to transform businesses worldwide.

Responsibilities

Contribute to pragmatic AI architectures such as RAG, agents, copilots, and automation integrated into cloud-native microservices and enterprise data platforms
Support decisions on when to apply RAG, agents, or conventional approaches
Implement and apply spec-driven development specs and templates, and support governance and quality gates
Build and maintain agentic use cases, run and write agents, and implement guardrails defined by the program
Deliver production solutions including LLM integrations, retrieval, and embeddings or vector stores embedded into Java and Spring Boot services
Implement observability, rollout and versioning, and CI/CD for prompts, specs, and models
Deploy and operate solutions on AKS and Azure hosting with guidance from platform and SRE teams
Contribute to tracking adoption, productivity, quality, and risk KPIs for AI-enabled delivery
Participate in playbooks, training, documentation, and team mentoring, and share patterns across squads
Implement responsible AI controls, data handling constraints, and agent guardrails in line with engineering standards

Requirements

5+ years of hands-on development experience in Core Java, Spring/Spring Boot, and microservices
Understanding of cloud-native architecture, Oracle/PL/SQL database concepts, and Kafka
Experience with GitLab
1–2+ years of hands-on delivery experience with LLMs, RAG, and agentic systems in production or strong pilot/enterprise PoC settings
Understanding of AI concepts, particularly spec-driven development, along with working knowledge of running and writing agents and implementing guardrails
Experience with LLM providers and/or self-hosted models, prompt engineering, and an evaluation/testing mindset
Experience with Azure, including AKS and/or Azure Web Apps, and CI/CD with GitLab (Azure DevOps is a plus)
Strong communication skills and ability to work in a global team
Practical experience applying spec-driven ways of working in a team setting
Hands-on experience building and integrating agentic and/or RAG capabilities into real engineering workflows
Ability to balance cost, productivity, quality, and risk when implementing LLM/agentic solutions
Production mindset covering testing, observability, safe rollout, and secure-by-design implementation
English proficiency at B2 level or higher