Description

·      Rapidly prototype, build and validate ideas – turning concepts from architects and Senior Product Managers into working software within days.

·      Design and build components of our agentic analytics pipeline using large language models, retrieval-augmented generation (RAG) and modern agent frameworks.

·      Act as the "circuit breaker" between discovery and delivery: prove feasibility, de-risk emerging technology, and produce clear guidance on how to build the solution properly at scale.

·      Exploit AI-assisted development tooling (e.g. GitHub Copilot and coding agents) to deliver at pace and raise the productivity of the wider team.

·      Integrate prototypes with our existing platform and services (C# / .NET, Angular and Python) and cloud / DevOps tooling.

·      Work hands-on within a cross-functional team, challenge technical design choices, and share knowledge so capability persists after the engagement ends.

·      Bring awareness of technology trends outside the organisation and apply them pragmatically to our risk and insurance products.

The Requirements:

Essential:

·      Available to start at short notice and commit to an initial 6-month engagement, working at pace with minimal ramp-up.

·      Strong hands-on software engineering experience, with demonstrable competency in C# / .NET Core and TypeScript / Angular, and proficiency in Python.

·      Practical experience building with AI and agentic technologies – e.g. large language models, RAG, prompt engineering, and agent frameworks / orchestration (such as LangChain, LangGraph or Semantic Kernel).

·      Proven ability to rapidly prototype and validate ideas, moving a concept from whiteboard to working demo in days.

·      Insurance, reinsurance or financial-services domain knowledge, ideally within risk & analytics, actuarial or catastrophe modelling.

·      Experience using Azure DevOps and GitHub (or equivalent) and familiarity with all phases of the SDLC and Agile delivery.

·      First-rate communication skills and the ability to work directly with technical and business stakeholders in an occasionally pressurised environment.

·      Comfortable working autonomously – remotely and face-to-face – and confident challenging established approaches

Key Skills

Education

Bachelor's degree