We are looking for a Forward Deployed Engineer (Chief Role) to build AI-native solutions where LLM and its harness are the core of the value. This is a builder's role where you and your team are responsible for building agentic systems, writing 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 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 rather than 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 such as LangChain, LangGraph or Semantic Kernel and major LLM providers including OpenAI, Anthropic and Google Gemini
- Expert-level proficiency in 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 and custom eval frameworks — and using observability/tracing tools such as LangSmith, Arize Phoenix or Langfuse
- Production deployment experience on at least one major cloud such as AWS, Azure or GCP with containerization and 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 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/Benefits
- 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
