Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Join as a Founding Engineer to build AI safety tools from scratch.
- Company: Be part of an innovative AGI safety research company in London.
- Benefits: Enjoy unlimited holiday, catered meals, and paid team retreats.
- Why this job: Shape the future of AI safety while working with top researchers.
- Qualifications: 5+ years as a Full Stack Engineer with strong Python and JavaScript skills.
- Other info: This role offers remote flexibility and a chance to influence product direction.
The predicted salary is between 120000 - 180000 £ per year.
Founding / Lead Full Stack Engineer – AI Safety Product (London)
Location: London (in-person, some remote flexibility)
Salary: £150,000 + equity + benefits
We’re hiring on behalf of an AGI safety research company that’s building new tools to evaluate and reduce the risks of advanced AI systems. They’re now launching a brand-new product team – and are looking for a Founding / Lead Full Stack Engineer to join at ground level.
This is a unique chance to shape the product, team, and tech stack from day one, working closely with the Head of Product and senior AI researchers. You’ll help turn cutting-edge research into real-world tools used by AI labs and tech companies.
What You’ll Be Doing
- Build full-stack features from concept to launch – backend (Python) and frontend (React)
- Help define the technical architecture and make key decisions on tools, infra, and process
- Build scalable systems to run and monitor large-scale AI evaluations
- Create intuitive dashboards and visualisations to help customers make sense of complex agent behaviours
- Collaborate daily with researchers and engineers who are using these tools internally
- Talk to users and contribute to product direction – this is a truly cross-functional role
Tech Environment
- Python monorepo, custom evaluation frameworks, AWS, EC2, DynamoDB
- React frontend, REST APIs, FastAPI (or Flask/Django)
- Focus on usability, performance, and security
About You
- 5+ years of experience as a Full Stack Engineer
- Ideally, worked in a startup working on 0-1 as a founding engineer, tech or lead engineer
- Strong skills in both Python (backend) and JavaScript/TypeScript (frontend)
- Comfortable designing APIs and working with cloud infrastructure
- You care about usability, love building things from scratch, and want your work to matter
- Bonus points if you’ve worked on developer tools, AI/ML systems, or B2B SaaS
Why This Role?
- You’ll be the first full stack hire on a mission-critical product team
- Work directly with leading AI safety researchers
- Help create tools that address some of the biggest risks in AI today
- Shape the roadmap, stack, and culture from the start
The Details
- Start date: Ideally 2–3 months from interview
- Location: London office
- Work style: Mostly in-person, remote flexibility considered case-by-case
- Interview process: Real-world coding task + technical and product-focused interviews
- Benefits include:
- Unlimited holiday & sick leave
- Fully catered office (lunch/dinner/snacks)
- Paid team retreats, conferences
If you’re excited about AI, safety, and building meaningful tools, this is your chance to help shape the future. Drop us a message to learn more or apply directly with your CV.
Founding Engineer / Lead Engineer | AI Safety employer: WeEngage Group | B Corp™
Contact Detail:
WeEngage Group | B Corp™ Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Founding Engineer / Lead Engineer | AI Safety
✨Tip Number 1
Familiarise yourself with the latest trends in AI safety and the specific challenges faced by AI systems. This knowledge will not only help you during interviews but also demonstrate your genuine interest in the field.
✨Tip Number 2
Network with professionals in the AI and tech industry, especially those involved in safety research. Attend relevant meetups or conferences to make connections that could lead to valuable insights or referrals.
✨Tip Number 3
Prepare for the coding task by brushing up on your Python and JavaScript/TypeScript skills. Consider working on personal projects that showcase your ability to build full-stack applications, as this will give you practical examples to discuss during interviews.
✨Tip Number 4
Understand the company's mission and values, and think about how your experience aligns with their goals. Be ready to articulate how you can contribute to shaping the product and team culture from day one.
We think you need these skills to ace Founding Engineer / Lead Engineer | AI Safety
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience as a Full Stack Engineer, particularly focusing on your skills in Python and JavaScript/TypeScript. Emphasise any previous startup experience or roles where you contributed to building products from the ground up.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for AI safety and your understanding of the challenges involved. Mention specific projects or experiences that demonstrate your ability to build scalable systems and collaborate with cross-functional teams.
Showcase Relevant Projects: Include links to any relevant projects or portfolios that demonstrate your full-stack capabilities. Highlight any work related to AI/ML systems or developer tools, as this will resonate well with the hiring team.
Prepare for Technical Interviews: Since the interview process includes a real-world coding task, brush up on your coding skills in Python and JavaScript. Be ready to discuss your thought process and decision-making when it comes to technical architecture and tool selection.
How to prepare for a job interview at WeEngage Group | B Corp™
✨Showcase Your Full Stack Skills
Be prepared to discuss your experience with both backend and frontend technologies, particularly Python and React. Highlight specific projects where you've built full-stack features from concept to launch, as this role requires a strong understanding of both areas.
✨Understand AI Safety Concepts
Familiarise yourself with the principles of AI safety and the challenges faced in the field. Being able to discuss how your work can contribute to reducing risks in advanced AI systems will demonstrate your alignment with the company's mission.
✨Prepare for Real-World Coding Tasks
Since the interview process includes a coding task, practice solving problems that reflect real-world scenarios you might encounter in this role. Focus on building scalable systems and designing APIs, as these are key components of the job.
✨Emphasise Collaboration and Cross-Functionality
This position involves working closely with researchers and engineers. Be ready to share examples of how you've successfully collaborated in cross-functional teams, and express your enthusiasm for contributing to product direction through user feedback.