We are building scalable, production-ready GenAI services and need a Senior GenAI Engineer to drive backend delivery, LLM integration, and platform operations. You will partner with AI/DS, Product, and DevOps to ship reliable AI applications with strong observability, performance, and cost controls across the AI SDLC—apply now.
Responsibilities
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Design and build backend services for AI/LLM-powered applications, then run and evolve them in production
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Own end-to-end delivery of GenAI features from implementation through release and ongoing production support
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Integrate and operate LLM APIs (e.g. OpenAI) in enterprise-grade production environments
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Develop APIs, orchestration layers, and microservices that enable agentic AI workflows
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Optimize LLM systems for latency, resiliency, retries, fallbacks, and cost efficiency
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Implement CI/CD pipelines plus observability, monitoring, and logging for AI services
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Collaborate with AI/DS, Product, DevOps, and platform teams to streamline delivery and raise reliability
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Work within Azure cloud environments and distributed systems using Redis, Kafka, and SQL/NoSQL
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Support MCP integrations, agentic memory initiatives, and AI orchestration frameworks
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Drive GenAI-assisted development practices and help scale enterprise AI SDLC processes
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Contribute to AI Beauty Chat delivery via agentic micro-pod execution models
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Execute System Steward responsibilities within agentic micro-pods
Requirements
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3+ years of Python backend engineering experience
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Proven expertise building and operating production-grade GenAI/LLM applications end-to-end
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Hands-on experience running OpenAI or other LLM APIs in production environments
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Deep proficiency in prompt engineering, agentic workflows, and orchestration patterns
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Demonstrated ability to manage LLM operational challenges such as latency, retries, fallbacks, observability, and cost optimization
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Solid understanding of scalable backend architecture and distributed system design
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Hands-on skills in CI/CD, DevOps workflows, and Azure cloud environments
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Background applying GenAI across the SDLC, including AI-assisted development, testing, deployment, and delivery workflows
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Working knowledge of SQL/NoSQL databases, Redis, and Kafka
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Familiarity with Databricks and MCP
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Excellent English communication skills (B2+ level)
We offer
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International projects with top brands
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Work with global teams of highly skilled, diverse peers
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Healthcare benefits
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Employee financial programs
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Paid time off and sick leave
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Upskilling, reskilling and certification courses
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Unlimited access to the LinkedIn Learning library and 22,000+ courses
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Global career opportunities
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Volunteer and community involvement opportunities
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EPAM Employee Groups
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Award-winning culture recognized by Glassdoor, Newsweek and LinkedIn
