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Lead AI Engineer
Hybrid in Armenia
AI Engineering
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We are seeking a Lead AI Engineer to build a central GenAI Platform, empowering hundreds of product teams across the organization with scalable capabilities for rapid development, validation, and deployment of AI agents.
In this role, you will drive the development of impactful AI agents, ensuring faster delivery and greater impact across multiple domains. Youll design and ship full-stack systems, shape platform capabilities, and lead by example through engineering craftsmanship.
This position is based in Lithuania, with relocation support available from EPAM. Learn more about the benefits EPAM Lithuania provides in the description below.
This position offers hybrid setup with the flexibility to work from any location in Lithuania, whether its your home or our dynamic offices in Vilnius and Kaunas.
Responsibilities
Design and implement full-stack applications, AI agents and platform components that enable rapid GenAI agent development, validation and deployment
Build developer tooling, CI/CD and observability for safe, fast iteration (evals, canaries, rollout/rollback, cost and quality telemetry)
Apply secure SDLC and privacy-by-design practices (threat modeling, least privilege)
Collaborate with product, UX and domain experts to deliver customer-focused solutions with measurable outcomes
Apply current LLM patterns (e.g., RAG, retrieval, routing, tool-use, evaluation) to deliver measurable customer value-faster, more reliable AI systems; reduced time-to-decision; improved trust/safety metrics; and lower cost per query
Lead by example through writing high-quality, maintainable code
Requirements
5+ years of professional software engineering experience with Python, TypeScript and AWS/Azure/GCP
1+ years of leadership experience
Strong full-stack development skills in backend (Python, FastAPI, TypeScript) and frontend (TypeScript, Streamlit, Gradio)
Proficiency in cloud platforms, CI/CD and Infrastructure as Code
Expertise in at least one of: AI Agent development and evaluation (LLM platforms, APIs and frameworks such as LangChain), advanced AI integration patterns (e.g., RAG, Agents), or Site Reliability Engineering, quality engineering and secure SDLC
Proven track record delivering secure, scalable, cloud-native and AI-driven systems
Background in deploying and evaluating AI solutions at scale
Familiarity with vector databases (e.g., Qdrant, FAISS, Chroma)
Capability to assess generative AI quality using retrieval, classification and LLM-based evaluation metrics
Strong problem-solving, ownership and cross-functional communication skills
English proficiency at B2 level or higher
Nice to have
Background in A/B testing, experiment design and model iteration
Knowledge of retrieval systems and ranking algorithms
Familiarity with emerging AI protocols (MCP, A2A, ACP)
Expertise in cloud/on-prem AI platforms and enterprise AI solutions
Skills in observability and monitoring tools
Technologies
Python, TypeScript, PyTorch, Hugging Face, LangChain
Vector databases (Qdrant, FAISS, Chroma)
LLM APIs (Azure OpenAI, AWS Bedrock)
We offer/Benefits
Other employee benefits
Salary range €4.8K-€6.7K gross, based on your experience and interview results.
About EPAM
EPAM is a leading global provider of digital platform engineering and development services. For over 30 years, our team has helped leading brands navigate the waves of digital transformation, building solutions that help them stay competitive through constant market disruption.With offices in 55+ countries, EPAM has grown in Lithuania to over 1,300+ talented innovators in just 5 years. We foster creativity and unconventional ways of doing things, welcoming like-minded professionals to join us.