Software Engineer at Engg – London | Jobyssey

nahc.io - Software Engineer Software Engineer United Kingdom Engineering – Software Development / Full-time / On-site

We’re working with an early‑stage, well‑funded stealth AI company developing a new generation of reasoning technology. The team brings together experience from frontier AI research, enterprise software, biotech, defence and aerospace, and is tackling some genuinely difficult problems at the intersection of AI, software engineering and large‑scale computation. 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.
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

What you will need:

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.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgement. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

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