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

- Design, develop, deploy, and maintain backend services for AI/LLM-powered applications
- Take ownership of end-to-end delivery of GenAI features, from implementation through to production support
- Integrate and operate LLM APIs, such as OpenAI, within enterprise production environments
- Develop APIs, orchestration layers, and microservices that support agentic AI workflows
- Optimize LLM systems for latency, resiliency, retries, fallbacks, and cost efficiency
- Implement CI/CD pipelines, observability, monitoring, and logging for AI services
- Collaborate with AI/DS, Product, DevOps, and platform teams to streamline delivery and improve reliability
- Work with Azure cloud environments and distributed systems, including Redis, Kafka, and SQL/NoSQL databases
- Support MCP integrations, agentic memory initiatives, and AI orchestration frameworks
- Drive GenAI-assisted development practices and help scale the client's AI SDLC processes




- Contribute to AI Beauty Chat delivery through agentic micro-pod execution models
- Carry out System Steward responsibilities within agentic micro-pods

Requirements

- A minimum of 3 years of relevant experience
- Primary expertise in AI Engineering with a backend focus
- Strong Python backend engineering experience
- Experience building and operating production-grade GenAI/LLM applications end-to-end
- Hands-on experience with OpenAI or other LLM APIs in production settings
- Skilled in prompt engineering and orchestration patterns
- Experience addressing LLM operational challenges, including latency, retries, fallbacks, observability, and cost optimization
- Strong understanding of scalable backend and distributed system architecture
- Experience with CI/CD, DevOps workflows, and Azure cloud environments
- Experience applying GenAI across the SDLC, including 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.

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