Forward Deployed Engineer/Chief

About the Position

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

• Opportunity to Engineer your Future and to drive the world’s digital transformation with top industry clients
• Personal development program that will allow you to be valued for your strengths
• Wide range of professional trainings and workshops
• Being part of a collaborative, fast-growing, and innovative design team
• Established and accelerated growth toward different career paths, competencies, and roles
• Broad projects variety and possible mobility between projects over the time
• Collaboration in a multicultural environment and exchange of best practices with colleagues around the world
• Varied social benefits, Sports, Transportation and Health programs
• Work-life balance and flexible schedule, team buildings and sport opportunities
• Modern office/collaboration spaces (incl. new Infinity Tower business center, Sofia)
• Hybrid By Design - we provide you with the best productivity options from the 2 worlds. Meet, socialize and enjoy F2F time with your colleagues, while working from the modern EPAM's office for a few days per week and benefit from the EPAM's virtual working environment - making you able to be productive and work from remote for the rest of the week