Software Engineer

They’re now looking for a Staff Software Engineer to join the London team and play a key role in turning cutting-edge research into robust, production-quality software.

This is a role for someone who enjoys getting deep into technical problems - whether that means designing systems, working on algorithms, solving concurrency challenges, or figuring out how to make complex workloads reliable at scale. What you will do:

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

Nice-to-haves:

• 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