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Senior GenAI Engineering Lead - AI Delivery & Intelligent Systems

EPAM Systems, Inc. -
Desde casa

Postulate ahora

Detalles del empleo

Hace 1 día

Descripción completa del empleo

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.

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