Senior Software Engineer - AI I

Lead the design and delivery of AI-powered applications using .NET, Azure AI Services, and Azure OpenAI, leveraging Retrieval-Augmented Generation (RAG) and Semantic Kernel for agentic orchestration. Own end-to-end solution quality (performance, security, reliability) and mentor engineers across teams.

About the role:
In this opportunity as a Senior Software Engineer AI, you will:

• Architect and build .NET services and APIs integrating Azure OpenAI and Azure AI Services
• Design and implement RAG pipelines using Azure AI Search for hybrid retrieval and grounding
• Develop agentic workflows with tool/function calling, planning, memory, and safe execution boundaries
• Build and manage Semantic Kernel plugins/skills, including planners, connectors, and memory stores
• Implement observability for AI systems (cost, latency, token usage, quality metrics) using App Insights/OpenTelemetry
• Ensure end-to-end solution quality: performance, security, reliability, and scalability
• Collaborate with product, security, and data teams to align with compliance and business goals
• Drive architecture best practices and engineering excellence across projects
• Mentor engineers, lead design reviews, and author technical RFCs

About you:
You're a fit for the role of Senior Software Engineer AI if your background includes:

• 6+ Years of Experience with .NET technologies
• C#/.NET & ASP.NET Core: Advanced async, streaming, DI, clean architecture, performance tuning; REST APIs, authentication (OAuth2/OIDC/JWT), caching, resiliency
• Azure AI & OpenAI: GPT models, embeddings, function calling, streaming responses, cost optimisation
• Azure AI Search & Studio: Indexing, hybrid search (BM25 + vectors), skillsets, enrichers, re-ranking; prompt flows and evaluation pipelines
• RAG & Agentic AI: Chunking, metadata enrichment, hybrid retrieval, citation fidelity; multi-tool orchestration, planners, memory, guardrails
• Semantic Kernel (C#): Kernels, semantic/native skills, connectors, planners, memory stores
• Azure Infrastructure: App Service, Functions, AKS, Container Apps, API Management, Key Vault
• Security & Compliance: PII handling, data residency, auditability, threat modelling
• Testing & Quality: Unit, integration, contract, load testing, CI/CD
• Nice-to-Have: Cognitive Services (Document Intelligence, Speech, Vision), advanced AI Search (scoring profiles, multi-source ingestion), AI observability (hallucination detection, RAG evaluation), frontend (Blazor/React with streaming UX), knowledge graphs (Neo4j/RDF)

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What’s in it For You?

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