Senior AI Engineer, Agentic and RAG Systems | Remote Work With EPAM

Senior AI Engineer, Agentic and RAG Systems | Remote Work With EPAM Back to Search Senior AI Engineer, Agentic and RAG Systems Remote in Georgia, & 4 others AI Solution Engineering apply Looking for something else? Find a vacancy that works for you. Send us your CV to receive a personalized offer. Find me a job Location-specific conditions & benefits Choose an option We are seeking a hands-on Senior AI Engineer who designs, builds, and operates production GenAI systems – agentic workflows, RAG pipelines, and LLM-backed services with real users and real SLAs. This is an engineering role, not a research role. The bar is reliability, latency, cost, observability, and safe deployment at scale, with end-to-end ownership from architecture through on-call. Typical workloads include enterprise knowledge platforms, conversational analytics, agentic automation, and LLM-augmented data products. Responsibilities Design agent orchestration (graph/state, conditional routing, tool calling, memory, checkpointing) in LangGraph / LangChain or equivalent Build production RAG end-to-end: chunking, embeddings, vector stores, hybrid retrieval, reranking, caching, and grounded synthesis Own Python / FastAPI services – async, SSE streaming, session handling, and structured error contracts Instrument with tracing and evaluation harnesses (MLflow, OpenTelemetry, or equivalent) for accuracy, cost, and regression Ship on Docker + Kubernetes (EKS/AKS/GKE) via CI/CD with test, eval, and canary gates Drive LLM cost engineering – model routing, prompt optimization, caching, token accounting, and build-vs-buy decisions Apply GenAI safety & governance: hallucination control, prompt-injection defense, PII handling, and HITL where required Partner with data engineering on semantic layers and pipelines (PySpark / SQL where applicable) Requirements 5+ years in software engineering, with 2+ years shipping production LLM / agentic systems (not POCs or research) Proficiency in Pyt