
Forward Deployed Engineer (Chief Role)
Primary stack
Nice to have's
Job description
About the Position
Forward Deployed Engineer (Chief Role)
Associate Management · Remote · Lithuania, Latvia
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.
Responsibilities
- Design, build, and ship AI-native systems E2E - agents, workflows, RAG, and the harness: custom tool calling, sandboxing, context engineering, and sub-agents, caching, compaction
- Build the evaluation pipelines and use them to prove the system is genuinely useful
- Design for failure in the agent loop: retries, model fallbacks, cost limits, and human-in-the-loop on consequential actions
- Capture domain expertise and repeatable workflows so what works on one engagement carries to the next
- Engage early to help shape the use case and check technical feasibility
- Write production-grade Python: integrations, APIs, data access, deployment
- Work directly with SMEs and end-users through interviews, UAT, and observing the real workflow, and validate that the system fits how people actually work
Requirements
- 7+ years of engineering experience, with a strong recent track record building production AI / LLM applications (not prototypes or research only)
- Strong agent-design judgment - task-harness fit, matching the harness to the context, failures, and policies of the actual task rather than calling a model in a loop
- Capability to operate close to the client: lead discovery and feasibility conversations, work directly with SMEs and end-users, and explain technical trade-offs to both technical and non-technical audiences
- Hands-on experience with agentic frameworks (LangChain, LangGraph, Semantic Kernel) and major LLM providers (OpenAI, Anthropic, Google Gemini)
- Expert-level Python and solid software engineering fundamentals
- Strong RAG and retrieval skills: vector databases, embeddings, hybrid search, re-ranking, chunking, and context management
- Proven experience evaluating generative AI quality - LLM-based evaluation, heuristics, custom eval frameworks - and using observability/tracing tools (LangSmith, Arize Phoenix, Langfuse)
- Production deployment experience on at least one major cloud (AWS, Azure, GCP) with containerization, CI/CD
- Sound judgment under ambiguity - scoping, sequencing, and making the call on speed vs. quality vs. scope
- English at C1 level
Nice to Have
- Experience designing experiments, A/B testing, and iterating on AI products against real user behavior and business metrics
- Background in NLP, Data Science, or applied ML, with experience moving models into production
- Familiarity with MCP, A2A, and Agent Skills, and emerging agent standards
- Experience with enterprise AI platforms (AWS Bedrock AgentCore, Databricks Genie, Microsoft Foundry)
- Exposure to AI governance, security, and compliance (guardrails, prompt-injection prevention)
We Offer
- Engineering Heritage: Best-in-class experts sharing a culture of engineering excellence and tackling complex engineering challenges for over 30 years
- Advanced Tech Stack: Innovative projects where you can apply or enhance your expertise in Cloud, Data, AI, and other emerging technologies
- World-Class Clients: Work closely with 340+ of the Forbes Global 2000 on creating disruptive solutions that make a global impact
- Professional Growth: Exceptional support for career development with comprehensive resources for upskilling or reskilling in pioneering practices
- GenAI Community: Strong AI competencies with 600+ experts across 55+ locations driving GenAI-enabled transformation journeys
- Entrepreneurial Culture: If you're passionate and dedicated to improving business transformation, we provide the support you need to bring your ideas to life
- Hybrid Setup: The flexibility to work from any location in Lithuania, whether it's your home or our dynamic offices in Vilnius and Kaunas
- Other Benefits: Additional vacation and trust days, private health insurance, Employee Stock Purchase Plan, and more
About the Company
We are a leading company in the AI and software development industry, dedicated to creating innovative solutions that drive business transformation. Our team of experts is passionate about leveraging cutting-edge technologies to deliver impactful results for our clients.
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EPAM helps organizations innovate their business processes and rethink the way they manage their businesses so they can remain competitive in this new digital age.
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