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
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Architect, build, deploy, and sustain backend services powering AI/LLM-driven applications
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Take full ownership of GenAI feature delivery, spanning from initial implementation through production support
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Integrate and manage LLM APIs, such as OpenAI, within enterprise production settings
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Build APIs, orchestration layers, and microservices that enable agentic AI workflows
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Fine-tune LLM systems for latency, resiliency, retries, fallbacks, and cost efficiency
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Establish CI/CD pipelines, observability, monitoring, and logging for AI services
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Partner with AI/DS, Product, DevOps, and platform teams to simplify delivery and strengthen reliability
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Operate within Azure cloud environments and distributed systems, including Redis, Kafka, and SQL/NoSQL databases
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Enable MCP integrations, agentic memory initiatives, and AI orchestration frameworks
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Champion GenAI-assisted development practices and help expand the client's AI SDLC processes
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Support AI Beauty Chat delivery through agentic micro-pod execution models
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Fulfill System Steward duties within agentic micro-pods
Requirements
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At least 5 years of relevant experience
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A minimum of one year of experience leading and managing teams
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Primary expertise in AI Engineering with a backend orientation
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Solid Python backend engineering background
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Experience building and running production-grade GenAI/LLM applications end-to-end
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Hands-on experience with OpenAI or comparable LLM APIs in production environments
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Proficient in prompt engineering and orchestration patterns
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Experience managing LLM operational challenges, such as latency, retries, fallbacks, observability, and cost optimization
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Strong grasp of scalable backend and distributed system architecture
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Experience with CI/CD, DevOps workflows, and Azure cloud environments
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Experience applying GenAI throughout the SDLC, covering 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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Strong communication skills
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Excellent English proficiency (B2 level or higher)
Nice to have
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Experience with agentic workflows
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Experience with Databricks and MCP
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
