Chief AI-Native Systems Engineer

EPAM Systems; Poland; Hybrid; PLN 260,000 - 380,000; Full time

Benefits offered by this job

Hybrid work model

Opportunity to work abroad up to 60,00

Relocation opportunities

Health insurance

Employee Stock Purchase Plan (15% 할인)

Job summary

EPAM Systems is seeking a Chief Forward Deployed Engineer to lead the design, build and deployment of AI-native systems, including agents, workflows, RAG, and the harness. You will write production-grade Python, build evaluation pipelines, and ensure observability and reliability in collaboration with SMEs and end-users.

You will apply strong agent-design judgment, work closely with clients, and leverage frameworks like LangChain and Semantic Kernel, delivering production-scale, cloud-deployed

Qualifications

• 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.
• The ability 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, or similar) 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, or similar)
• Production deployment experience on at least one major cloud (AWS, Azure, or 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

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 - interviews, UAT, observing the real workflow - and validate that the system fits how people actually work

Skills

Engineering experience

Python

Agent design

LLM applications

Cloud deployment

Observability & tracing

SME collaboration

English (C1)

CI/CD

Containerization

Tools

LangChain

LangGraph

Semantic Kernel

OpenAI

Anthropic

Azure

AWS

GCP

LangSmith

Arize Phoenix

Langfuse

Job description

EPAM Systems is seeking a Chief Forward Deployed Engineer to lead the design, build and deployment of AI-native systems, including agents, workflows, RAG, and the harness. You will write production-grade Python, build evaluation pipelines, and ensure observability and reliability in collaboration with SMEs and end-users.

You will apply strong agent-design judgment, work closely with clients, and leverage frameworks like LangChain and Semantic Kernel, delivering production-scale, cloud-deployed