We are looking for a Senior GenAI Engineer to join our team. As a GenAI Engineer, you will be responsible for the end-to-end development, deployment, and operation of enterprise-grade AI-powered applications. The role combines backend engineering, LLM integration, cloud infrastructure, and AI platform operations to deliver scalable GenAI solutions in production environments.

You will work closely with AI/DS, Product, and DevOps teams to build and scale AI-driven applications, ensuring reliability, observability, performance optimization, and operational excellence across the full AI SDLC. The role also includes contributing to GenAI-assisted development practices, scaling Client's enterprise AI SDLC processes, supporting AI Beauty Chat initiatives through agentic micro-pod delivery models, and performing System Steward responsibilities across AI platform initiatives.

Responsibilities

- Architect, build, deploy, and sustain backend services powering AI/LLM-driven applications
- Take full ownership of GenAI feature delivery, spanning from initial implementation through production support
- Integrate and manage LLM APIs, such as OpenAI, within enterprise production settings
- Build APIs, orchestration layers, and microservices that enable agentic AI workflows
- Fine-tune LLM systems for latency, resiliency, retries, fallbacks, and cost efficiency
- Establish CI/CD pipelines, observability, monitoring, and logging for AI services
- Partner with AI/DS, Product, DevOps, and platform teams to simplify delivery and strengthen reliability
- Operate within Azure cloud environments and distributed systems, including Redis, Kafka, and SQL/NoSQL databases
- Enable MCP integrations, agentic memory initiatives, and AI orchestration frameworks
- Champion GenAI-assisted development practices and help expand the client's AI SDLC processes
- Support AI Beauty Chat delivery through agentic micro-pod execution models




- Fulfill System Steward duties within agentic micro-pods

Requirements

- At least 5 years of relevant experience
- A minimum of one year of experience leading and managing teams
- Primary expertise in AI Engineering with a backend orientation
- Solid Python backend engineering background
- Experience building and running production-grade GenAI/LLM applications end-to-end
- Hands-on experience with OpenAI or comparable LLM APIs in production environments
- Proficient in prompt engineering and orchestration patterns
- Experience managing LLM operational challenges, such as latency, retries, fallbacks, observability, and cost optimization
- Strong grasp of scalable backend and distributed system architecture
- Experience with CI/CD, DevOps workflows, and Azure cloud environments
- Experience applying GenAI throughout the SDLC, covering AI-assisted development, testing, deployment, and delivery workflows
- Working knowledge of SQL/NoSQL databases, Redis, and Kafka
- Strong communication skills
- Excellent English proficiency (B2 level or higher)

Nice to have

- Experience with agentic workflows
- Experience with Databricks and MCP

We offer

- International projects with top brands
- Work with integral 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
- Global 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.

📌 Lead GenAI Engineer (México)
🏢 Epam Systems
📍 México