Senior GenAI Engineer

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

• Design, develop, deploy, and maintain backend services for AI/LLM-powered applications
• Take ownership of end-to-end delivery of GenAI features, from implementation through to production support
• Integrate and operate LLM APIs, such as OpenAI, within enterprise production environments
• Develop APIs, orchestration layers, and microservices that support agentic AI workflows
• Optimize LLM systems for latency, resiliency, retries, fallbacks, and cost efficiency
• Implement CI/CD pipelines, observability, monitoring, and logging for AI services
• Collaborate with AI/DS, Product, DevOps, and platform teams to streamline delivery and improve reliability
• Work with Azure cloud environments and distributed systems, including Redis, Kafka, and SQL/NoSQL databases
• Support MCP integrations, agentic memory initiatives, and AI orchestration frameworks
• Drive GenAI-assisted development practices and help scale the client's AI SDLC processes
• Contribute to AI Beauty Chat delivery through agentic micro-pod execution models
• Carry out System Steward responsibilities within agentic micro-pods

Requirements

• A minimum of 3 years of relevant experience
• Primary expertise in AI Engineering with a backend focus
• Strong Python backend engineering experience
• Experience building and operating production-grade GenAI/LLM applications end-to-end
• Hands-on experience with OpenAI or other LLM APIs in production settings
• Skilled in prompt engineering and orchestration patterns
• Experience addressing LLM operational challenges, including latency, retries, fallbacks, observability, and cost optimization
• Strong understanding of scalable backend and distributed system architecture
• Experience with CI/CD, DevOps workflows, and Azure cloud environments
• Experience applying GenAI across the SDLC, including AI-assisted development, testing, deployment, and delivery workflows
• Working knowledge of SQL/NoSQL databases, Redis, and Kafka
• Strong communication skills
• Excellent English proficiency (B2 level or higher)

Nice to have

• Experience with agentic workflows
• Experience with Databricks and MCP