Senior .NET Developer – AI & Automation; Health Insurance Platform

We’re Cegedim Insurance Solutions, on a mission to enable health insurers to rapidly add value through our technology solutions. Actisure is our award-winning product which has led us to become a leading worldwide supplier of software to health insurers. It’s an extensive platform consisting of Core back office automation, Open API and integration suite and Digital solutions serving customers and all parties in the insurance value chain.

Looking to recruit a hybrid working Senior .NET Developer – AI & Intelligent Automation (Health Insurance Platform)

This role will focus on designing and delivering AI‑driven capabilities and intelligent automation within our core policy and claims management product, define and build new features that improve user productivity and automate high‑volume, repeatable processes, particularly around claims invoice processing and related workflows.

You will work within a Scrum team (3‑week sprints), contributing to our existing .NET/Angular platform while leading the design and implementation of AI‑centric features and integrations. You will partner closely with our ML engineering and infrastructure teams to leverage our in‑house GPU infrastructure and Run.ai platform for model training, fine‑tuning, and inference at scale.

• Design, build, and maintain core product features using:
  • .NET (C#), ASP.NET Core
  • Angular
  • SQL Server and MongoDB
  • RESTful APIs and NService Bus
• Contribute to application architecture decisions, refactoring initiatives, and shared platform components.
• Ensure new AI features are robust, secure, explainable, and integrated cleanly into the existing product.

• Work with Product Management and domain experts to identify high‑value AI use cases, initially focusing on automating processing of claims invoice documents (e.g. OCR, document classification, data extraction, validation workflows).
• Design, implement, and integrate AI services and pipelines, such as Machine learning / rules‑based components for classification, anomaly detection, and routing (e.g. flagging potentially incorrect invoices or exceptional cases).
• Fine‑tuned language models or specialized inference models deployed on our in‑house GPU infrastructure.

• Work closely with Product and UX to design AI features that give clear benefits to end‑users (time saved, errors reduced, fewer clicks).
• Implement workflow automation and orchestration.