Description:
As a Founding Engineer, you’ll work across backend systems, data infrastructure and applied AI. This is a highly hands-on position suited to an engineer who enjoys difficult technical problems, significant ownership and building products from first principles.
You’ll be responsible for:
- Building large-scale data pipelines that transform complex healthcare and policy documentation into structured, machine-readable rules using LLM-assisted extraction.
- Designing and scaling APIs and emerging agent/tooling interfaces that serve computable healthcare rules with very low latency.
- Translating complex clinical and coverage criteria into structured queries and formal logic that can be evaluated against patient data.
- Taking end-to-end ownership of new products and technical initiatives, from identifying opportunities through architecture, implementation and production deployment.
- Improving the reliability and performance of production systems as data and request volumes grow.
- Experimenting with AI-assisted development, agents and new engineering tooling within a small, highly autonomous team.
What we're looking for:
- 2–6 years of professional software engineering experience, primarily across backend, full-stack or data-intensive systems.
- Strong Python development experience.
- Experience designing, building and operating production systems at meaningful scale.
- Evidence of building products or systems from 0→1 rather than solely maintaining established platforms.
- Strong understanding of API and backend architecture.
- A degree in Computer Science, Engineering, Mathematics or a closely related quantitative discipline.
- Comfortable working in a fast-moving environment where engineers have significant autonomy and responsibility.
- Able to work from the company’s London office five days per week.
- Existing UK right to work or a transferable immigration status; the company cannot provide new visa sponsorship for this position.
Particularly relevant experience could include:
- Performance-sensitive or low-latency engineering.
- Distributed systems or high-volume data infrastructure.
- Previous experience with Rust, C or C++ alongside Python.
- Building developer platforms, APIs or interfaces for AI/agent systems.
- Healthcare technology or working with complex regulated datasets.
- Experience within quantitative trading, leading technology businesses or technically demanding venture-backed startups.