Key Responsibilities

• Design and develop Python-based backend services and APIs using FastAPI or similar frameworks
• Build and integrate GenAI capabilities including LLM APIs and Retrieval-Augmented Generation (RAG) pipelines
• Develop event-driven services and integrate with cloud messaging systems
• Work with large datasets and enterprise databases using SQL Server and ORM frameworks
• Integrate with internal and external APIs across the platform ecosystem
• Build production-ready AI solutions including prompt engineering and structured outputs
• Monitor and optimise AI solutions using LLMOps and evaluation frameworks
• Debug, evaluate, and improve AI-generated code and model performance
• Collaborate with cross-functional teams working across .NET, Angular, and cloud infrastructure

Required Skills

• 5+ years of Python development experience
• Strong experience building production-grade APIs (FastAPI or similar)
• Solid experience with SQL Server and ORM frameworks
• Hands-on experience integrating LLM APIs (OpenAI, Azure OpenAI, etc.)
• Practical experience building RAG pipelines
• Strong prompt engineering and structured output design
• Experience working with event-driven architectures

Cloud & Infrastructure

• Azure App Services
• Azure Function Apps
• Azure Blob Storage
• Azure Service Bus
• Kubernetes

AI / GenAI Tooling

• Evaluation frameworks and GenAI metrics
• LLMOps / AIOps including benchmarking, guardrails and drift detection
• Experience using AI-assisted development tools such as GitHub Copilot or Cursor

Additional info:

• Fully remote role
• 12 month contract with likely extension

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