At a Glance
- Tasks: Shape AI systems by developing evaluation frameworks and improving performance in real-world contexts.
- Company: Exciting AI start-up with a focus on innovative agent infrastructure.
- Benefits: Competitive salary, equity options, and a fast-paced learning environment.
- Other info: Work closely with founders and gain invaluable insights into AI development.
- Why this job: Join early-stage projects and make a real impact on the future of AI technology.
- Qualifications: Experience in building AI systems and a passion for rapid learning.
The predicted salary is between 100000 - 150000 € per year.
This company sits in a part of the AI ecosystem that most people haven’t really seen yet. They’re not building a single product. They’re building the layer that sits behind how AI systems are evaluated, improved, and ultimately trusted in real-world environments.
They’re already working closely with some of the most advanced AI teams globally, helping tackle a problem that’s still wide open: how do you reliably evaluate whether an AI system is actually performing well, and how do you generate the data that makes it better over time?
At a surface level, they combine domain expertise with structured evaluation — bringing in highly specialised perspectives to assess outputs in real-world contexts. The deeper layer is what they’re building internally. They define what “good” looks like, design evaluation frameworks, and create feedback loops that directly improve how models behave.
Alongside that, there’s a genuine research angle. The work feeds into how modern AI systems are being tested, evaluated, and iterated on in practice — not just in theory.
The reason this role stands out is that you’re not sitting in one slice of that world. You’re seeing how different teams approach building AI systems, how evaluation and data actually drive performance, and how things move from something that looks good in a demo to something that works reliably in production.
This is a genuinely early hire. You’d be working directly with the founders, helping define how these systems are built and evaluated, while also contributing to product and technical direction. It’s not a role where you come in and pick up tickets — you’re shaping the system itself.
The environment is intense, and they’re very open about that. This only really makes sense if you view it as a period of acceleration, not a long-term lifestyle. If you’re early in your career, already building AI systems, and motivated by getting very good, very quickly, this kind of environment can compress years of learning into a much shorter window. You’re close to real problems, working directly with experienced builders, and seeing how things actually get deployed — not just discussed.
Member of Technical Staff in London employer: Omnis Partners
As a Member of Technical Staff at this pioneering AI start-up in London, you will be part of a dynamic and innovative team that is redefining how AI systems are evaluated and improved. The company offers a high-agency work culture with steep growth trajectories, meaningful equity opportunities, and direct collaboration with founders, allowing you to shape the future of AI technology while accelerating your professional development in a fast-paced environment.
StudySmarter Expert Advice🤫
We think this is how you could land Member of Technical Staff in London
✨Tip Number 1
Network like a pro! Get out there and connect with folks in the AI space. Attend meetups, webinars, or even just chat with people on LinkedIn. The more you engage, the better your chances of landing that dream role.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repo showcasing your projects related to AI systems. This gives potential employers a taste of what you can do and how you think, making you stand out from the crowd.
✨Tip Number 3
Prepare for those interviews! Research the company and its approach to AI evaluation. Be ready to discuss how you can contribute to their mission and share your insights on improving AI systems. Confidence is key!
✨Tip Number 4
Apply through our website! We’re all about finding the right fit, and applying directly helps us see your enthusiasm. Plus, it’s a great way to get noticed early in the process. Don’t miss out!
We think you need these skills to ace Member of Technical Staff in London
Some tips for your application 🫡
Show Your Passion for AI:When you're writing your application, let your enthusiasm for AI shine through! We want to see that you’re genuinely excited about the challenges in the AI ecosystem and how you can contribute to solving them. Share any relevant projects or experiences that highlight your passion.
Tailor Your Application:Make sure to customise your application for this role. We’re looking for someone who understands the nuances of evaluating AI systems. Highlight your skills and experiences that align with our mission, and don’t be shy about showcasing your technical expertise!
Be Clear and Concise:We appreciate clarity! When you’re writing your application, keep it straightforward and to the point. Avoid jargon unless it’s necessary, and make sure your key points stand out. This helps us quickly see why you’d be a great fit for the team.
Apply Through Our Website:Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it gives you a chance to explore more about our company and what we do!
How to prepare for a job interview at Omnis Partners
✨Understand the AI Landscape
Before your interview, dive deep into the current trends and challenges in AI evaluation and performance. Familiarise yourself with how different teams approach building AI systems and the importance of structured evaluation. This knowledge will help you engage in meaningful conversations during the interview.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific examples from your past experiences where you've tackled complex problems, especially in AI or tech environments. Highlight how you defined success, designed frameworks, or created feedback loops that improved outcomes. This will demonstrate your ability to contribute to their mission.
✨Emphasise Your Growth Mindset
Given the intense environment, it's crucial to convey your eagerness to learn and adapt quickly. Share instances where you've accelerated your learning or taken on new challenges. This will resonate with their focus on rapid growth and development.
✨Connect with the Founders' Vision
Research the founders and their vision for the company. Be prepared to discuss how your values align with theirs and how you can contribute to shaping the product and technical direction. Showing genuine interest in their mission will set you apart as a candidate who is not just looking for a job, but a meaningful role.
