EPAM is a leading global provider of digital platform engineering and development services. We are committed to having a positive impact on our customers, our employees, and our communities. We embrace a dynamic and inclusive culture. Here you will collaborate with multi-national teams, contribute to a myriad of innovative projects that deliver the most creative and cutting-edge solutions, and have an opportunity to continuously learn and grow. No matter where you are located, you will join a dedicated, creative, and diverse community that will help you discover your fullest potential.
We are advancing Python-based AI products by engineering secure, observable, and scalable agentic systems that solve real business problems. You will implement multi-agent orchestration with tools like LangChain and LangGraph, build RAG pipelines, and integrate MCP while leveraging AWS Bedrock and GCP Vertex AI.
Responsibilities Architect and deliver scalable systems that enable data-driven intelligent applications
Convert sophisticated technical ideas into working implementations that match organizational objectives
Coordinate with multidisciplinary teams to clarify technical needs and achieve strong delivery outcomes
Develop readable, maintainable code that follows industry conventions and is properly documented
Diagnose and address technical problems throughout the full software development lifecycle
Conduct peer code reviews and offer clear, actionable suggestions to improve quality
Explore new technology trends and propose upgrades to current infrastructure
Contribute to architectural planning that influences the future technical roadmap
Coach less experienced engineers and spread technical expertise across the team
Validate that solutions meet scalability, performance, and long-term maintainability expectations
Requirements Hands-on experience of 3+ years in Python engineering,



with evidence of creating, deploying, and operating reliable AI systems and smart applications in production environments
Advanced know-how in building stateful multi-agent processes, autonomous agentic systems, and cross-agent orchestration using LangChain, LangGraph, CrewAI, Google ADK, and AWS Strands Agents SDK
Real-world exposure to Model Context Protocol (MCP) integration efforts
Demonstrated ability to develop and sustain Retrieval-Augmented Generation (RAG) pipeline solutions
Strong command of prompt engineering to optimize communication with language models
Experience implementing guardrails that enforce safe and controlled AI behavior
Knowledge of knowledge graphs and their application in AI solution design
Experience integrating foundation models via cloud services including AWS Bedrock and GCP Vertex AI
Capability to uphold evaluation discipline, observability practices, and security safeguards in production AI systems
Effective communication skills plus functional English fluency (B2 level or above) to understand business needs and translate them into agentic architecture designs
We offer International projects with top brands
Work with global teams of highly skilled, diverse peers
Healthcare benefits
Employee financial programs
Paid time off and sick leave
Upskilling, reskilling and certification courses
Unlimited access to the LinkedIn Learning library and 22,000+ courses
General career opportunities
Volunteer and community involvement opportunities
EPAM Employee Groups
Award-winning culture recognized by Glassdoor, Newsweek and LinkedIn
EPAM is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, sexual orientation, gender identity or expression, disability, protected veteran status, or any other characteristic protected by applicable law.

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📌 Senior Python AI Engineer (Ciudad de México)
🏢 Epam Systems
📍 Ciudad de México