At a Glance
- Tasks: Join a cutting-edge AI team to develop innovative software solutions and tackle complex technical challenges.
- Company: Exciting stealth AI company with a focus on groundbreaking reasoning technology.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Other info: Dynamic startup environment with a focus on collaboration and innovation.
- Why this job: Make a real impact by bridging research and production in the AI field.
- Qualifications: Master's degree or equivalent experience in Computer Science; strong software engineering skills required.
The predicted salary is between 72000 - 88000 £ per year.
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.
- 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
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 judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
Software Engineer employer: nahc.io
Join an innovative early-stage AI company in London, where you'll be part of a dynamic team dedicated to transforming cutting-edge research into impactful software solutions. With a strong emphasis on collaboration and technical excellence, the company fosters a culture of continuous learning and growth, offering employees the chance to tackle complex challenges while working alongside experts from diverse fields. Enjoy the unique advantage of being at the forefront of AI technology, with opportunities to influence the development of next-generation reasoning systems in a supportive and forward-thinking environment.
StudySmarter Expert Advice🤫
We think this is how you could land Software Engineer
✨Join Local Tech Meetups
Get out there and mingle with fellow developers by joining local tech meetups. It’s a fantastic way to meet people who might be working at nahc.io or know someone who does. Plus, you can pick up some trendy tech skills and trends while you're at it!
✨Contribute to Open Source Projects
Show off your coding chops by jumping into open-source projects. Not only does this give you practical experience, but it also gets you noticed in the dev community. You'll create a killer portfolio that speaks volumes about your skills to nahc.io.
✨Tap into Online Developer Communities
Don’t underestimate the power of online developer communities like GitHub, Stack Overflow, and even Reddit. Participate in discussions, share your projects, and build your visibility. We can often find opportunities through these channels that can lead to a full-time gig at companies like nahc.io.
✨Explore Job Boards Specifically for Tech Roles
Keep your eyes peeled on job boards that focus on tech roles. Sites like TechCareers or Stack Overflow Jobs can often have listings for companies like nahc.io that might not show up on broader job sites. Make it a habit to check these regularly, and don’t hesitate to apply directly through our website!
We think you need these skills to ace Software Engineer
Some tips for your application 🫡
Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.
Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at nahc.io.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at nahc.io and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!
Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!
How to prepare for a job interview at nahc.io
✨Brush Up on Your Coding Skills
For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.
✨Know Your Tools and Frameworks
Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If nahc.io uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.
✨Showcase Your Projects
Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.
✨Prepare for Behavioural Questions
While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.
