Principal AI-Native Systems Engineer (Hybrid Latvia)

EPAM Systems; Al Khobar; Hybrid; SAR 243,000 - 340,000; Full time

Job summary

EPAM Systems in Latvia seeks a Principal Forward Deployed Engineer to design and ship AI-native systems, writing production Python and building end-to-end workflows. You will work with SMEs and end-users to shape use cases and ensure technical feasibility in the real world.

This hybrid role offers relocation to Latvia, collaboration with global clients, and opportunities to contribute to evaluation pipelines, governance, and high-availability architectures.

Qualifications

• 7+ years of software engineering experience with a strong track record of building production AI and LLM applications.
• Expert-level Python skills and solid software engineering fundamentals.
• Hands-on experience with agentic frameworks such as LangChain, LangGraph or Semantic Kernel and major LLM providers.
• Strong RAG and retrieval skills including vector databases, embeddings, hybrid search and context management.
• Production deployment experience on major cloud platforms like AWS, Azure or GCP with containerization and CI/CD.
• Proven experience evaluating generative AI quality using custom evaluation frameworks and observability tools.
• Proven capability to work closely with clients, lead discovery conversations and explain technical trade-offs to diverse audiences.
• Strong agent-design judgment and sound engineering judgment under ambiguity to balance speed, quality and scope.
• C1 level English language proficiency
• An academic degree in Computer Science, Software Engineering or a 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
• Work directly with subject matter experts and end-users through interviews, user acceptance testing and workflow observations
• Engage early in projects to shape use cases and check technical feasibility
• Build evaluation pipelines and use them to prove system utility
• Design for failure in the agent loop by implementing retries, model fallbacks, cost limits and human-in-the-loop actions
• Capture domain expertise and repeatable workflows to ensure success across engagements. Troubleshoot and resolve technical challenges in collaboration with the broader team
• Ensure adherence to engineering excellence standards including test-driven development and continuous integration practices

Skills

Software engineering

Python

AI/LLM development

English proficiency

Education

Computer Science degree

Tools

LangChain

LangGraph

Semantic Kernel

AWS

Azure

GCP

Docker

CI/CD

Vector databases

Job description

EPAM Systems in Latvia seeks a Principal Forward Deployed Engineer to design and ship AI-native systems, writing production Python and building end-to-end workflows. You will work with SMEs and end-users to shape use cases and ensure technical feasibility in the real world.

This hybrid role offers relocation to Latvia, collaboration with global clients, and opportunities to contribute to evaluation pipelines, governance, and high-availability architectures.