Senior Python AI Engineer

EPAM Systems Inc; United States; Remote; USD 140,000 - 190,000; Full time

Job summary

EPAM Systems Inc. is seeking a Senior Python AI Engineer to build dependable AI solutions that turn business challenges into real value for end users.

You will own production implementations across agentic architectures, RAG, prompt engineering, and guardrails with strong observability and security. Responsibilities include architecting scalable software, coordinating with cross-functional teams, and delivering high-quality, well-documented code across the full SDLC while guiding junior team

Qualifications

• 3+ years of hands-on Python software engineering in production AI systems.
• Deep expertise in architecting and implementing stateful multi-agent workflows and autonomous agentic systems.
• Experience delivering Retrieval-Augmented Generation (RAG) pipelines and prompt engineering.

Responsibilities

• Architect scalable software solutions for intelligent, data-driven applications.
• Translate complex technical concepts into practical systems meeting organizational goals.
• Coordinate with cross-functional teams to define requirements and deliver high-quality solutions.
• Develop clean, maintainable, and well-documented code following industry best practices.
• Guide junior engineers and share knowledge across the organization.

Skills

Python

AI systems

Multi-agent workflows

LangChain

Prompt engineering

Observability

Tools

LangGraph

CrewAI

AWS Bedrock

GCP Vertex AI

Google ADK

Job description

We are looking for a Senior Python AI Engineer to create dependable AI solutions that turn business challenges into real value for end users. You will own production implementations across agentic architectures, RAG, prompt engineering, and guardrails with strong observability and security.

Responsibilities

Architect scalable software solutions for intelligent, data-driven applications Translate complex technical concepts into practical systems that meet organizational goals Coordinate with cross-functional teams to define technical requirements and deliver high-quality solutions Develop clean, maintainable, and well-documented code following industry best practices Resolve technical issues across the full software development lifecycle Conduct code reviews and give constructive feedback to fellow engineers Investigate emerging technologies and recommend improvements to existing systems Drive architectural decisions that shape the long-term technical direction of projects Guide junior team members and share technical knowledge across the organization Build solutions with scalability, performance, and maintainability as core principles

Requirements

Strong background with 3+ years of hands-on Python software engineering focused on designing, building, and running reliable Artificial Intelligence systems and intelligent applications in production Deep expertise in architecting and implementing stateful multi-agent workflows, autonomous agentic systems, and multi-agent orchestration using LangChain, LangGraph, CrewAI, Google ADK, and the AWS Strands Agents SDK Practical experience delivering Model Context Protocol (MCP) integrations Hands-on experience building and maintaining Retrieval-Augmented Generation (RAG) pipelines Advanced capability in prompt engineering to optimize language model interactions Experience putting guardrails in place to ensure safe and controlled AI system behavior Familiarity with knowledge graphs and their application in AI-driven systems Experience integrating foundation models through AWS Bedrock and GCP Vertex AI Ability to enforce robust evaluation, observability, and security practices across production AI deployments Decent communication skills with working English fluency (B2 level or higher) to capture business requirements and translate them into agentic architectures