Description

Required Skills & Experience

• Strong proficiency in Python, with proven experience designing, developing, and implementing applications using FastAPI and FastMCP.

• Ability to build scalable, production-grade APIs and end-to-end solutions, covering the complete development lifecycle from implementation and deployment to monitoring and observability.

• Experience with Microsoft Azure is highly preferred.

• Familiarity with Azure services such as AKS, Cosmos DB, and Azure Cache for Redis is a strong plus.

• Solid hands-on experience across the Generative AI ecosystem, including developing applications that consume and integrate with LLMs such as OpenAI GPT and Anthropic Claude.

• Strong hands-on experience with AI-assisted development tools and IDEs, such as Claude, Codex, and VS Code.

• Good understanding of DevOps and containerisation practices, including experience with GitHub Actions, Docker, and Kubernetes / AKS.

Core Technology Stack

Area      Technologies / Skills

Backend             Python, FastAPI, FastMCP

GenAI / LLMs    OpenAI GPT, Anthropic Claude, LLM Integrations, GenAI Ecosystem

DevOps              GitHub Actions, Docker

Cloud   Microsoft Azure, AKS, Cosmos DB, Azure Cache for Redis

Development Tools       VS Code, Claude, Codex

Engineering Focus         Scalable APIs, End-to-End Application Development, Deployment, Monitoring, Observability

Key Skills

Education

Bachelor's degree