Senior AI-Native Systems Engineer

EPAM Systems, Inc.; Turkey; On-site; TRY 5,772,000 - 8,658,000; Full time

Benefits offered by this job

Extra leave days

Referral bonuses

Private health insurance

Well-being events

Job summary

EPAM Systems, Inc. is seeking an engineering leader to design, build, and ship AI-native systems end-to-end. You will work closely with SMEs and end-users, developing agentic workflows, RAG integrations, and robust evaluation pipelines to ensure practical, production-ready outcomes.

You will lead the development of tool calling, sandboxing, and context engineering, with a strong emphasis on observability and reliable deployments across cloud environments.

Qualifications

• 7+ years of engineering experience with a strong track record building production AI/LLM applications.
• Expert-level Python and solid software engineering fundamentals.
• Hands-on experience with agentic frameworks and major LLM providers.
• Familiarity with observability/tracing tools and evaluation frameworks.

Responsibilities

• Design, build and ship AI-native systems end-to-end — agents, workflows, RAG and the harness.
• Build evaluation pipelines and prove system usefulness.
• Design for failure in the agent loop with retries, fallbacks and human-in-the-loop as needed.
• Capture domain expertise and create repeatable workflows across engagements.
• Write production-grade Python: integrations, APIs, data access, deployment.
• Engage with SMEs and end-users through interviews, UAT and observing real workflows.

Skills

Engineering experience

Agent design

Python

LangChain

LangGraph

Semantic Kernel

LLM providers

Vector databases

CI/CD

Cloud deployment

Tools

LangSmith

Arize Phoenix

Langfuse

AWS

Azure

GCP

Job description

EPAM Systems, Inc. is seeking an engineering leader to design, build, and ship AI-native systems end-to-end. You will work closely with SMEs and end-users, developing agentic workflows, RAG integrations, and robust evaluation pipelines to ensure practical, production-ready outcomes.

You will lead the development of tool calling, sandboxing, and context engineering, with a strong emphasis on observability and reliable deployments across cloud environments.