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AI Engineer (LLM)

Hybrid in Vietnam: Ho Chi Minh City
AI Solution Engineering& 5 others
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Join EPAM Vietnam as an AI Engineer (LLM) and help shape the future of AI-powered retail decision-making. You will design agent workflows, prompt and retrieval logic and production-ready services that turn data into grounded, traceable recommendations for business users. Working with cutting-edge AI technologies, structured business data and real-world retail challenges, you will play a key role in creating impactful, scalable and user-centric GenAI experiences that deliver measurable business value.

Responsibilities
  • Translate category management needs into LLM and GenAI use cases and workflows
  • Design agent orchestration including prompt strategy, retrieval, tool calling and state handling
  • Build back-end services and APIs for LLM applications using FastAPI and Python
  • Integrate LLM providers such as Azure OpenAI and OpenAI with streaming, retries and cost controls
  • Implement retrieval patterns with chunking, metadata, citations and relevance tuning
  • Define evaluation approaches for relevance, grounding, safety, latency and cost
  • Improve quality through testing, observability, feedback loops and iteration
  • Partner with product, data, engineering and business stakeholders to ship usable features
Requirements
  • Proven experience with Python back-end development, async patterns and FastAPI
  • Hands-on work integrating Large Language Model (LLM) APIs such as Azure OpenAI or OpenAI
  • Knowledge of LangChain or LangGraph for agent orchestration and tool workflows
  • Expertise designing tool or function calling, from schemas to retries, confirmation flows and payload contracts
  • Experience implementing Retrieval-Augmented Generation (RAG) with traceable sources and robust evaluation
  • Ability to manage agent state through checkpointing, resumability and session handling
  • Understanding of secure design for LLM applications, from secrets management to access control and prompt leakage prevention
  • Clear communication with technical and business partners