Senior GenAI Engineer (Azure)

About the role

We are looking for a hands‑on Senior GenAI Engineer to design and deliver production‑grade AI solutions for a major US insurance client. The role focuses on building scalable Generative AI platforms, agentic workflows and robust APIs on Microsoft Azure.

Key responsibilities

• Design, develop and deploy GenAI applications in Python using FastAPI and FastMCP, integrating OpenAI GPT and Anthropic Claude models.
• Build and maintain production‑ready APIs, CI/CD pipelines (GitHub Actions), containerized services (Docker, Kubernetes/AKS) and Azure resources (Cosmos DB, Azure Cache for Redis).
• Implement Retrieval‑Augmented Generation pipelines with vector databases such as Pinecone or Milvus.
• Monitor, observe and optimise performance, latency, token usage and cost of LLM‑driven services.

Required profile

• Strong proficiency in Python with proven experience in FastAPI and FastMCP.
• Hands‑on experience building agentic workflows and production‑grade APIs.
• Solid understanding of Azure services, especially AKS, Cosmos DB and Redis.
• Upper‑Intermediate English (B2) to communicate with US stakeholders.

Required skills

• Python
• FastAPI
• FastMCP
• OpenAI GPT
• Anthropic Claude
• Microsoft Azure (AKS, Cosmos DB, Azure Cache for Redis)
• Docker
• Kubernetes
• GitHub Actions
• Vector databases (Pinecone, Milvus)