Senior GenAI Engineer

Description

Summary: This Senior AI Engineer role involves full-stack development, deployment, and operation of enterprise AI-powered applications, focusing on scalable GenAI solutions and AI SDLC processes. Highlights: 1. Lead GenAI feature delivery from development to production support 2. Collaborate with diverse teams on AI-driven application expansion 3. Work with cutting-edge AI technologies and cloud platforms We are searching for a Senior nAI 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 GenAI solutions into live production settings. You will team up with AI/DS, Product, and DevOps 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 GenAI\-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 GenAI feature delivery, starting from initial development all the way to production support * Link and administer LLM APIs, such as OpenAI, 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, DevOps, and platform groups to ease delivery and reinforce reliability * Function within Azure cloud settings and distributed systems, spanning Redis, Kafka, and SQL/NoSQL databases * Support MCP integrations, agentic memory efforts, and AI orchestration frameworks * Promote GenAI\-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 GenAI/LLM applications from end to end * Direct, hands\-on work with OpenAI 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, DevOps processes, and Azure cloud platforms * Experience weaving GenAI into the SDLC, including AI\-assisted coding, testing, deployment, and release workflows * Practical familiarity with SQL/NoSQL 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 MCP **We offer** * International projects with top brands * Work with global 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