At a Glance
- Tasks: Design safety evaluations for AI agents and identify risks in real-world tasks.
- Company: Well-funded frontier AI company focused on innovative agentic systems.
- Benefits: Competitive salary, flexible work environment, and opportunities for professional growth.
- Other info: Dynamic role with evolving challenges and excellent career advancement potential.
- Why this job: Shape the future of AI safety and make a real impact on technology.
- Qualifications: Strong background in AI safety, Python skills, and clear communication.
The predicted salary is between 59400 - 72600 £ per year.
About
This is a well-funded frontier AI company building agentic systems that automate complex, multi-step work. The product and research stack are getting stronger, and safety is increasingly about how those systems behave in realistic environments rather than in isolated model evaluations. Model safety matters. But once systems can browse, call tools, and complete multi-step tasks, a different class of risk appears. This role is about understanding and reducing that risk at the agent layer. The brief is still forming. That is part of the appeal. They want someone who can help define what good agent safety looks like in practice.
What you’ll do
- Design and run safety evaluations for agent behaviour across realistic tasks and environments
- Identify failure modes in tool use, planning, browsing, and multi-step execution
- Build mitigations, guardrails, and intervention strategies around risky agent behaviour
- Work with research and engineering teams to improve safe behaviour without killing usefulness
- Turn concrete incidents or near-misses into better tests, policies, and system changes
- Help define internal frameworks for agent safety, oversight, and operational risk
- Contribute hands-on to the systems used to evaluate and monitor safety over time
What you’ll need
- Strong engineering or research background in AI safety, alignment, evaluations, or LLM systems
- Good Python skills and comfort building practical tools rather than only writing papers
- Ability to reason clearly about risk in real product behaviour, not just offline benchmarks
- Experience designing evaluations, red-teaming systems, or analysing model/agent failures
- Strong judgment, clear communication, and comfort with an evolving brief
- Interest in the safety problems that appear once agents start acting in the world
Optional Bonus
- Experience with policy systems, trust and safety, or security-style threat modelling
- Familiarity with tool-using agents or computer-use systems
Shortlisted candidates will be contacted within 48 hours.
Research Engineer (AI Safety) employer: Axiōma Search
Axiōma Search is an exceptional employer for those passionate about machine learning and time-series forecasting. With a collaborative work culture that prioritises innovation and employee growth, team members are encouraged to explore new ideas and technologies while benefiting from a global network of experts. Located in Europe, the company offers unique opportunities for professional development and the chance to make a significant impact in the field of AI.
StudySmarter Expert Advice🤫
We think this is how you could land Research Engineer (AI Safety)
✨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 Axiōma Search 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 Axiōma Search.
✨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 Axiōma Search.
✨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 Axiōma Search 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 Research Engineer (AI Safety)
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 Axiōma Search.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Axiōma Search 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 Axiōma Search
✨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 Axiōma Search 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.
