Principal AI Systems Engineer — Hybrid (Lithuania)

EPAM Systems; Al Khobar; Hybrid; SAR 235,000 - 329,000; Full time

Benefits offered by this job

Private health insurance

Stock Purchase Plan

Hybrid work Lithuania

Professional growth

Job summary

EPAM Systems seeks a Principal Forward Deployed Engineer to lead AI-native systems development and client engagements. You will design end-to-end agentic solutions, write production Python, and collaborate with SMEs to deliver value while shaping use cases and ensuring observability.

The role requires deep expertise in LLMs, RAG, LangChain or similar frameworks, and a strong track record of delivering on cloud platforms with CI/CD. Hybrid setup with relocation to Lithuania is offered.

Qualifications

• 7+ years of software engineering experience building production AI/LLM applications.
• Expert-level Python skills and solid software engineering fundamentals.
• Hands-on experience with LangChain, LangGraph or Semantic Kernel and major LLM providers.
• Strong RAG and retrieval skills including vector databases and embeddings.
• Production deployment on AWS/Azure/GCP with containerization and CI/CD.
• Experience evaluating generative AI quality using custom evaluation frameworks and observability tools.
• Ability to lead discovery conversations with clients and explain trade-offs to diverse audiences.
• Strong agent-design judgment and engineering judgment under ambiguity to balance speed and quality.
• C1 level English language proficiency.
• Academic degree in Computer Science, Software Engineering or related field.

Responsibilities

• Design, build and ship end-to-end AI-native systems including agents, workflows, RAG and integration harnesses.
• Write production-grade Python code for integrations, APIs, data access and deployment.
• Collaborate with SMEs and end-users through interviews and workflow observations.
• Engage early to shape use cases and assess technical feasibility.
• Build evaluation pipelines to prove system utility.
• Design for failure with retries, model fallbacks and human-in-the-loop actions.
• Capture domain knowledge and repeatable workflows across engagements.
• Adhere to engineering standards including test-driven development and CI.

Skills

Python

LLM development

AI systems

English (C1)

Cloud platforms

Agentic frameworks

Education

CS/Software Engineering degree

Tools

LangChain

LangGraph

Semantic Kernel

AWS

Azure

GCP

CI/CD

Vector databases

Job description

EPAM Systems seeks a Principal Forward Deployed Engineer to lead AI-native systems development and client engagements. You will design end-to-end agentic solutions, write production Python, and collaborate with SMEs to deliver value while shaping use cases and ensuring observability.

The role requires deep expertise in LLMs, RAG, LangChain or similar frameworks, and a strong track record of delivering on cloud platforms with CI/CD. Hybrid setup with relocation to Lithuania is offered.