Chief Forward Deployed Engineer

We are looking for a Chief Forward Deployed Engineer to build AI-native solutions 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 will 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 nextEngage 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 — interviews, UAT, observing the real workflow — and validate that the system fits how people actually workRequirements7+ 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

The ability 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, or similar) 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, or similar)

Production deployment experience on at least one major cloud (AWS, Azure, or GCP) with containerization, CI/CD

• Sound judgment under ambiguity — scoping, sequencing, and making the call on speed vs. quality vs. scope
• English at C1 levelNice 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, Agent Skills, and emerging agent standards
• Experience with enterprise AI platforms (AWS Bedrock Agent
• Core, Databricks Genie, Microsoft Foundry, Gemini Enterprise)

Exposure to AI governance, security, and compliance (guardrails, prompt-injection prevention)

Prior client-facing or pre-sales exposure in a consulting or services contextWe offerWe gather like-minded people:

Engineering community of industry professionals

• Friendly team and enjoyable working environment
• Flexible schedule and opportunity to work remotely within Poland
• Chance to work abroad for up to 60 days annually
• Business-driven relocation opportunitiesWe provide growth opportunities:

Outstanding career roadmap

Leadership development, career advising, soft skills, and well-being programs

Certification (GCP, Azure, AWS)

Unlimited access to LinkedIn Learning, Get Abstract, Cloud Guru

English classesWe cover it all:

Stable income (Employment Contract or B2B)

Participation in the Employee Stock Purchase Plan

Benefits package (health insurance, multisport, shopping vouchers)

Strategically located offices featuring entertainment and relaxation zones, table tennis and football, free snacks, fantastic coffee, and more

• Referral bonuses
• Corporate, social and well-being events
• Please, note:

The set of bonuses might vary based on the role you apply for – specifics will be discussed with our recruiter during the general interview.

We will reach out to selected candidates exclusively.

EPAM is a leading global provider of digital platform engineering and development services. We are committed to having a positive impact on our customers, our employees, and our communities. We embrace a dynamic and inclusive culture. Here you will collaborate with multi-national teams, contribute to a myriad of innovative projects that deliver the most creative and cutting-edge solutions, and have an opportunity to continuously learn and grow. No matter where you are located, you will join a dedicated, creative, and diverse community that will help you discover your fullest potential.