Tech Lead/Senior .NET Backend Engineer

Role description

We are seeking a highly versatile senior full-stack engineer with strong backend (.NET) expertise and hands-on AI engineering experience. This role combines architectural ownership, rapid prototyping, full-stack development, and technical leadership. You will work closely with business stakeholders and the BA/PM role to explore AI opportunities, validate concepts, and build the foundation for scalable enterprise AI applications.

This is a hybrid role suited for a senior engineer who can act as a technical driver, architect, and creator of POCs, while later leading and coordinating additional engineers as the initiative grows

About the Project

The client is a global specialty insurance and reinsurance provider focused on leveraging AI to solve critical business challenges across their operations.

Projects will focus on developing web-based applications that address specific business problems using AI capabilities, primarily:

• Document data extraction (processing insurance documents, claims, policies)
• Data summarisation (condensing complex information for decision-making)

Your work will involve identifying new use cases across departments, validating them through POCs, and scaling successful solutions into production applications that directly impact business operations.

Key Responsibilities

Discovery & Technical Consultation

• Partner with business stakeholders and the BA/PM role to identify AI-driven opportunities across departments
• Evaluate the technical feasibility of ideas, propose architectural approaches, and estimate complexity.
• Participate in workshops and brainstorming sessions, bringing a strong technical perspective.
• Act as a trusted technical advisor for AI implementations across the organisation

Architecture, Engineering & Solution Design

• Own the technical design of AI-enabled web applications
• Design backend architecture using .NET, cloud services, and vector/relational databases
• Define integration frameworks between enterprise systems and AI components
• Build rapid prototypes and proof-of-concepts to validate feasibility
• Translate business requirements into clean, scalable technical designs
• Choose tools, libraries, and architectural patterns suitable for enterprise-grade AI adoption
• Ensure solutions align with broader enterprise standards

Full-Stack Development

• Implement backend services in .NET (API, integrations, data processing workflows)
• Build minimal but functional front-end UIs for POCs (React preferred, but flexibility acceptable)
• Set up basic CI/CD and cloud infrastructure required to run prototypes
• Develop scalable and maintainable codebases that can evolve into full production systems

AI Engineering Responsibilities

• Integrate LLMs (Azure OpenAI, AWS Bedrock, or local models) into application workflows
• Build pipelines for document processing, vectorisation, retrieval, and orchestration
• Work with model APIs, embedding models, prompt engineering, and RAG patterns
• Collaborate with ML/Data Science teams where they exist, or act as the initial engineering backbone where they don’t
• Propose improvements based on model performance and data characteristics

POC Leadership & Team Enablement

• Lead technical execution of POCs, coordinating development priorities
• Present POC results and technical insights to business and IT stakeholders
• Drive the transition of successful concepts into production-ready architecture
• Define hiring needs for future engineering expansion (backend, frontend, ML, QA)
• Provide mentorship and guidance to future team members

Required Qualifications

Experience

• 6+ years of professional experience in .NET engineering
• 3+ years in a senior or tech-lead capacity
• Proven experience building end-to-end applications (backend + basic frontend + integrations)
• Strong experience with AI application development (LLM APIs, document processing, RAG, embeddings)
• English level: Upper-Intermediate (B2) or higher for stakeholder communication

Technical Acumen

• Expert-level knowledge of .NET and cloud-native application development
• Experience designing architectures that incorporate AI features
• Hands-on with Azure/AWS, containerisation, CI/CD
• Ability to quickly deliver full-stack prototypes
• Understanding of RAG, vector DBs (e.g., Pinecone, Qdrant, Azure Search), prompt engineering, and embeddings
• Familiarity with frontend frameworks (React preferred)
• Ability to perform basic DevOps-level tasks when needed

Business Knowledge

Not mandatory, but experience in insurance, document-heavy processes, underwriting, or compliance is an advantage.

Nice to have

• Experience with Azure OpenAI or AWS Bedrock
• Hands-on experience with semantic search, knowledge graphs, or enterprise system integrations
• Familiarity with enterprise security and compliance patterns

Ideal candidate profile

The successful candidate will combine:

• Engineering depth to architect and build complex AI-enabled applications
• Flexibility to prototype quickly under uncertainty
• Full-stack confidence to deliver end-to-end functionality
• Strong communication skills to work with business and technical stakeholders
• Leadership qualities to grow the engineering team and set technical direction
• Curiosity and adaptability to navigate evolving AI capabilities in an enterprise environment