Software Engineer

You’ll work closely with researchers, infrastructure engineers and application specialists, helping bridge the gap between research and production.

Your work will include:

• Designing and building core components of the company's software platform

• Developing backend services, APIs and supporting infrastructure

• Contributing to algorithms and the implementation of novel AI capabilities

• Translating research concepts and prototypes into maintainable, production-ready software

• Designing systems capable of handling large-scale reasoning and inference workloads

• Working with concurrent, parallel and distributed systems

• Making architectural decisions around performance, reliability and scalability

• Writing well-tested, maintainable code and contributing to engineering standards

• Participating in code reviews and technical design discussions

• Helping shape how AI-assisted development tools are used across the engineering organisation
• A Master's degree in Computer Science, Computer Engineering or a related technical field, or equivalent practical experience

• Strong professional software engineering experience, with evidence of taking significant technical ownership

• Excellent proficiency in at least one modern programming language — examples include Rust, Elixir, Python, C, Java, F#, Haskell or similar

• Strong foundations in software design, including both functional and object-oriented approaches

• Experience designing and building concurrent, parallel or distributed systems

• Experience working with a major cloud platform such as AWS, Google Cloud or Azure

• A strong interest in software architecture, algorithms and solving technically challenging problems

• Hands-on experience with modern AI coding assistants such as Claude or Codex
• Experience with AI, machine learning or scientific computing

• Experience working on inference, optimisation or other computationally intensive workloads

• Previous experience in an early-stage startup

• Experience working effectively in a distributed or remote engineering environment

• DevOps / platform engineering experience

• Experience taking research or experimental software and turning it into reliable production systems