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, compactionBuild the evaluation pipelines and use them to prove the system is genuinely usefulDesign for failure in the agent loop: retries, model fallbacks, cost limits, and human-in-the-loop on consequential actionsCapture 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 feasibilityWrite production-grade Python: integrations, APIs, data access, deploymentWork directly with SMEs and end-users — interviews, UAT, 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 loopThe 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 audiencesHands-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 fundamentalsStrong RAG and retrieval skills: vector databases, embeddings, hybrid search, re-ranking, chunking, and context managementProven 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/CDSound judgment under ambiguity — scoping, sequencing, and making the call on speed vs. quality vs. scopeEnglish at C1 level Nice to have Experience designing experiments, A/B testing, and iterating on AI products against real user behavior and business metricsBackground in NLP, Data Science, or applied ML, with experience moving models into productionFamiliarity with MCP, A2A, Agent Skills, and emerging agent standardsExperience with enterprise AI platforms (AWS Bedrock AgentCore, 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 context We offer We gather like-minded people:Top tech minds driving innovation in AI, cloud and digital platform modernizationSupportive team and agile, startup-like cultureHybrid by design mode and opportunity to work remotely within PolandChance to work abroad for up to 60 days annuallyBusiness-driven relocation opportunitiesWe provide growth opportunities:Career development programsThought leadership, mentoring, soft skills and well-being programsCertification (Anthropic, Gemini, GCP, Azure, AWS)English classesWe cover it all:Stable payParticipation in the Employee Stock Purchase Plan with a 15% discountBenefits package (health insurance, multisport, shopping vouchers)Referral bonuses up to $2,000Offices featuring entertainment and relaxation zones, table tennis and football, free snacks, coffee and moreCorporate, social and well-being eventsPlease, note:Benefits listed above are available to employees onlyWe are open for working with Contractors. Terms of B2B cooperation agreements are agreed individuallyWe will reach out to selected candidates exclusively EPAM is global leader in AI transformation engineering and integrated consulting, serving Forbes Global 2000 companies and ambitious startups. With over thirty years of expertise in custom software, product and platform engineering, we empower our clients to become AI-Native enterprises, driving measurable value from innovation and digital investments.