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Forward Deployed Engineer – AI Native Solutions

EPAM Systems

Senior 🇬🇧 English
Python LangChain LangGraph Semantic Kernel OpenAI Anthropic Google Gemini vector databases embeddings hybrid search chunking context management LangSmith Arize Phoenix Langfuse AWS Azure GCP containerization CI/CD

Job description

About the role

We are creating AI‑native solutions where large language models (LLMs) form the core of product value. As a Forward Deployed Engineer you will lead a team to design, build, and ship end‑to‑end agentic systems that solve real client problems, working closely with subject‑matter experts and end‑users.

Key responsibilities

  • Design, develop and ship AI‑native systems (agents, workflows, Retrieval‑Augmented Generation, custom tool calling, sandboxing, context engineering, caching, compaction).
  • Build evaluation pipelines and use them to demonstrate genuine utility.
  • Implement robust failure handling: retries, model fallbacks, cost limits, and human‑in‑the‑loop safeguards.
  • Capture domain expertise and reusable workflows to accelerate future engagements.
  • Engage early with clients to shape use cases, assess technical feasibility, and conduct discovery interviews.
  • Write production‑grade Python code for integrations, APIs, data access and deployment.
  • Collaborate directly with SMEs and end‑users through interviews, UAT and workflow observation.

Required profile

  • 7+ years of engineering experience with a proven track record delivering production AI/LLM applications.
  • Strong judgment in agent design, task‑harness fit and failure policies.
  • Ability to lead client discovery, explain technical trade‑offs to both technical and non‑technical audiences.
  • Excellent English communication (C1 level) and comfort operating in ambiguous environments.

Required skills

  • Python (expert level) and solid software engineering fundamentals.
  • Agentic frameworks: LangChain, LangGraph, Semantic Kernel.
  • Major LLM providers: OpenAI, Anthropic, Google Gemini.
  • RAG expertise: vector databases, embeddings, hybrid search, re‑ranking, chunking, context management.
  • Evaluation & observability tools: LangSmith, Arize Phoenix, Langfuse.
  • Cloud platforms (AWS, Azure, GCP) with containerization, CI/CD pipelines.

What we offer

  • Opportunity to work on cutting‑edge AI products for leading enterprises.
  • Collaborative environment with like‑minded engineers and domain experts.
  • Exposure to emerging agent standards and enterprise AI platforms.

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Published 2 weeks ago

Expires 1 month from now

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EPAM Systems