We are searching for a Senior n AI Engineer to become part of our team. This role puts you in charge of the entire development, deployment, and operational journey of enterprise-grade AI-powered applications. It draws together backend engineering, LLM integration, cloud infrastructure, and AI platform operations to bring scalable Gen AI solutions into live production settings. You will team up with AI/DS, Product, and Dev Ops groups to construct and expand AI-driven applications, safeguarding reliability, observability, performance optimization, and operational excellence throughout the entire AI SDLC. This position further includes backing Gen AI-assisted development approaches, aiding in the growth of the client's enterprise AI SDLC processes, participating in AI Beauty Chat initiatives via agentic micro-pod delivery models, and handling System Steward obligations across AI platform efforts. Responsibilities Craft, build, launch, and support backend services that drive AI/LLM-powered applications Assume complete responsibility for Gen AI feature delivery, starting from initial development all the way to production support Link and administer LLM APIs, such as Open AI, inside enterprise production settings Build out APIs, orchestration layers, and microservices to power agentic AI workflows Adjust LLM systems to improve latency, resiliency, retry handling, fallback logic, and cost management Configure CI/CD pipelines along with observability, monitoring, and logging capabilities for AI services Team up with AI/DS, Product, Dev Ops, and platform groups to ease delivery and reinforce reliability Function within Azure cloud settings and distributed systems, spanning Redis, Kafka, and SQL/No SQL databases Support MCP integrations, agentic memory efforts,



and AI orchestration frameworks Promote Gen AI-assisted development approaches and contribute to scaling the client's AI SDLC processes Play a role in AI Beauty Chat delivery through agentic micro-pod execution models Handle System Steward obligations within agentic micro-pods Requirements At least 3 years of experience relevant to this role Primary specialization in AI Engineering with an emphasis on backend systems Strong background in Python for backend engineering Proven experience delivering and running production-grade Gen AI/LLM applications from end to end Direct, hands-on work with Open AI or comparable LLM APIs within production contexts Proficiency in prompt engineering along with various orchestration techniques Experience tackling operational issues tied to LLMs, covering latency, retries, fallback strategies, observability, and cost efficiency Firm grasp of distributed system design and scalable backend architecture Background in CI/CD practices, Dev Ops processes, and Azure cloud platforms Experience weaving Gen AI into the SDLC, including AI-assisted coding, testing, deployment, and release workflows Practical familiarity with SQL/No SQL databases, Redis, and Kafka Strong ability to communicate clearly and effectively Excellent English proficiency (B2 level or higher)Nice to have Background working with agentic workflow patterns Practical exposure to Databricks and MCPWe 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 Linked In 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 Linked In 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 genai engineer (México)
🏢 Epam Systems
📍 México