GenAI Engineer

Description

We are seeking a **GenAI Engineer** to lead 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 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 * Own E2E delivery of GenAI features from implementation to production support * Integration and operation of LLM APIs (e.g. OpenAI) in enterprise production environments * Development of APIs, orchestration layers and microservices supporting agentic AI workflows * Optimization of LLM systems for latency, resiliency, retries, fallbacks and cost efficiency * Implementation of CI/CD pipelines, observability, monitoring and logging for AI services * Collaboration with AI/DS, Product, DevOps and platform teams to streamline delivery and improve reliability * Work with Azure cloud environments and distributed systems (Redis, Kafka, SQL/NoSQL) * Support for MCP integrations, agentic memory initiatives and AI orchestration frameworks * Drive GenAI\-assisted development practices and scale AI SDLC processes * Contribution to AI Beauty Chat delivery through agentic micro\-pod execution models * Execution of System Steward responsibilities in agentic micro\-pods **Requirements** * 2\+ years of Python backend engineering experience * Expertise in building and operating production\-grade GenAI/LLM applications end\-to\-end * Hands\-on experience with OpenAI or other LLM APIs in production * Proficiency in prompt engineering, agentic workflows and orchestration patterns * Capability to handle LLM operational challenges: latency, retries, fallbacks, observability and cost optimization * Strong understanding of scalable backend and distributed system architecture * Skills in CI/CD, DevOps workflows and Azure cloud environments * Background in applying GenAI across the SDLC (AI\-assisted development, testing, deployment and delivery workflows) * Working knowledge of SQL/NoSQL databases, Redis and Kafka * Familiarity with Databricks and MCP * Excellent English communication skills (B2\+ level)