AI innovation is easy.
Delivering AI systems that scale, integrate, and create measurable business value is hard.
At EPAM, we believe the future belongs to engineers who can transform AI ideas into production-ready systems and help organizations become truly AI-Native.
At EPAM, we are reinventing software delivery by combining human expertise with intelligent systems, agentic workflows, and AI-powered engineering.
We are looking for a Senior GenAI Engineering Lead who wants to build the next generation of AI products and platforms.
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.
Responsibilities
-
Design and implement enterprise GenAI applications
-
Develop AI agents, multi-agent systems, RAG architectures, and intelligent workflows
-
Integrate LLMs into enterprise ecosystems
-
Build secure, scalable, and production-ready AI solutions
-
Drive architecture decisions and engineering best practices
-
Collaborate with architects, data engineers, and cloud teams
-
Implement observability, evaluation, testing, and governance frameworks
-
Optimize latency, cost, reliability, and quality
-
Work with: OpenAI, Claude, Gemini, Llama, LangGraph, LangChain, MCP Servers, Vector Databases, Python ecosystems, Azure, AWS, and GCP
-
Act as an AI Champion within EPAM LATAM
-
Mentor engineers and technical communities
-
Promote AI-assisted engineering practices
-
Share knowledge through workshops and enablement programs
-
Help accelerate AI maturity across the region
Requirements
-
5+ years in software engineering
-
Proficiency in Python, APIs, and microservices
-
Expertise in cloud-native architectures and distributed systems
-
Skills in CI/CD and DevOps practices
-
Hands-on experience with LLMs, GenAI systems, and prompt engineering
-
Background in RAG architectures and agentic AI
-
Familiarity with vector databases and model orchestration
-
Knowledge of evaluation frameworks and AI observability
-
Skills in OpenAI, Claude, Gemini, and Llama
-
Familiarity with LangGraph, LangChain, and MCP Servers
-
Flexibility to use Azure, AWS, and GCP
-
Strong collaboration skills, ability to mentor and influence others, ownership mentality, and passion for continuous learning
-
English proficiency at B2 level or higher
We offer
-
Connectivity Bonus (25,000 ARS are paid with a salary receipt at the end of each month as a non-wages concept).
-
Medicina Prepaga (It covers the collaborator and direct family group).
-
Paternity Leave (Two additional days are added to what is established by law, total of 4 days).
-
Discounts card.
-
English Training (English lessons, twice per week).
-
Training Program (Access to multiple customized training plans according to the needs of each role within the company).
-
Marriage bonus (The company doubles the allowance established by law that ANSES offers).
-
Referral Program (Referral bonus is paid when the referral of a collaborator joins the Company).
-
External Agreements and Discounts.
-
Vacations: 14 calendar days a year
By applying to our role, you are agreeing that your personal data may be used as in set out in EPAM´s Privacy Notice and Policy.
