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Principal Forward Deployed Engineer (relocation to Lithuania)

EPAM·Salary not specified

Primary stack

LangChainLangGraphSemantic KernelPythonAWSAIRAGCI/CDGCPAzure

Nice to have's

NLPData Scienceapplied machine learningModel Context Protocol (MCP)Agent-to-Agent (A2A)Agent SkillsAWS Bedrock AgentCoreDatabricks GenieMicrosoft FoundryAI governancesecuritycomplianceguardrailsprompt-injection prevention

Job description

About the Position

Principal Forward Deployed Engineer (relocation to Lithuania)

We are looking for a Principal Forward Deployed Engineer to join our team with eventual relocation to Lithuania. EPAM is renowned for delivering cutting-edge technological solutions to transform businesses worldwide. We are building AI-native solutions for our clients - products where LLM and its harness are the core of the value. This is a builder's role: you and your team are responsible for building agentic systems, writing the production code, and standing up the evals and observability. You will work closely with SMEs and end-users to understand where the real value lies, and you design the feedback loops. The deadline for submission is 01.12.2026.

Responsibilities

  • Design, build and ship end-to-end AI-native systems including agents, workflows, RAG and integration harnesses
  • Write production-grade Python code for integrations, APIs, data access and deployment
  • Work directly with subject matter experts and end-users through interviews, user acceptance testing and workflow observations
  • Engage early in projects to shape use cases and check technical feasibility
  • Build evaluation pipelines and use them to prove system utility
  • Design for failure in the agent loop by implementing retries, model fallbacks, cost limits and human-in-the-loop actions
  • Capture domain expertise and repeatable workflows to ensure success across engagements. Troubleshoot and resolve technical challenges in collaboration with the broader team
  • Ensure adherence to engineering excellence standards including test-driven development and continuous integration practices

Requirements

  • 7+ years of software engineering experience with a strong track record of building production AI and LLM applications
  • Expert-level Python skills and solid software engineering fundamentals
  • Hands-on experience with agentic frameworks such as LangChain, LangGraph or Semantic Kernel and major LLM providers
  • Strong RAG and retrieval skills including vector databases, embeddings, hybrid search and context management
  • Production deployment experience on major cloud platforms like AWS, Azure or GCP with containerization and CI/CD
  • Proven experience evaluating generative AI quality using custom evaluation frameworks and observability tools
  • Proven capability to work closely with clients, lead discovery conversations and explain technical trade-offs to diverse audiences
  • Strong agent-design judgment and sound engineering judgment under ambiguity to balance speed, quality and scope
  • C1 level English language proficiency
  • An academic degree in Computer Science, Software Engineering or a related field

Nice to Have

  • Experience designing experiments, A/B testing and iterating on AI products against real user behavior
  • Strong background in NLP, Data Science or applied machine learning with experience moving models into production
  • Familiarity with Model Context Protocol (MCP), Agent-to-Agent (A2A), Agent Skills and emerging agent standards
  • Experience with enterprise AI platforms such as AWS Bedrock AgentCore, Databricks Genie or Microsoft Foundry
  • Exposure to AI governance, security and compliance including guardrails and prompt-injection prevention

We Offer

  • Global Community of Experts: Learn from and collaborate with top professionals across 55+ countries.
  • Advanced Tech Stack: Work on innovative projects and apply or enhance your expertise in Cloud, Data, AI and other emerging technologies.
  • Industry Leadership: Join the company recognized globally as a leader in Life Sciences and technology, with 12 of the top 15 Life Science companies relying on us.
  • World-Class Clients: Make an impact for 340+ Forbes Global 2000 companies, including the world’s 10 top Pharma, Life Science and MedTech clients.
  • Professional Growth: In-house training, mentorship and resources to help you become a highly valued T-shaped professional, combining deep LSHC expertise with diverse tech skills.
  • Hybrid Setup: Enjoy the flexibility to work from anywhere in Lithuania, whether at home or in our dynamic offices in Vilnius and Kaunas.
  • Other Benefits: Private health insurance, including well-being and psychological support, participation in the Employee Stock Purchase Plan with a 15% discount, access to external educational platforms, employee referral program with bonuses for successful hires, PERKS discount platform and other exclusive EPAM offers, corporate SIM card with unlimited calls and internet.

About the Company

EPAM is a global software engineering and product development company with a focus on delivering cutting-edge technological solutions to transform businesses worldwide. Recognized as a leader in Life Sciences and technology, EPAM works with 340+ of the Forbes Global 2000 companies, including the world’s top Pharma, Life Science and MedTech clients. EPAM fosters a culture of engineering excellence, innovation, and entrepreneurial spirit, providing exceptional support for career development and professional growth.

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