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For Companies At a Glance
- Tasks: Build full-stack features and shape the product from day one.
- Company: Join a pioneering AGI safety research company focused on reducing AI risks.
- Benefits: Enjoy unlimited holiday, catered office meals, and paid team retreats.
- Why this job: Be the first full stack hire and directly impact AI safety tools.
- Qualifications: 5+ years as a Full Stack Engineer with strong Python and JavaScript skills.
- Other info: Work mostly in-person in London with some remote flexibility.
The predicted salary is between 120000 - 180000 £ per year.
Job Description
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 full-stack development. Being well-versed in current technologies and methodologies will not only help you during interviews but also demonstrate your genuine interest in the role.
✨Tip Number 2
Network with professionals in the AI and tech industry, especially those involved in safety research. Attend relevant meetups or conferences to connect with potential colleagues and gain insights into the company culture and expectations.
✨Tip Number 3
Prepare for the coding task by practising real-world problems that involve both backend and frontend development. Focus on building scalable systems and designing APIs, as these are crucial skills for the role.
✨Tip Number 4
Showcase your passion for usability and user experience in your discussions. Be ready to share examples of how you've built intuitive tools in the past, as this aligns closely with the company's mission to create meaningful products.
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 work in startups or on 0-1 projects, as this is crucial for the role.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for AI safety and your desire to build meaningful tools. Mention specific experiences that relate to the job description, such as building scalable systems or designing APIs.
Showcase Relevant Projects: If you have worked on developer tools, AI/ML systems, or B2B SaaS products, make sure to include these in your application. Provide links to your GitHub or portfolio to demonstrate your technical capabilities.
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
Make sure to highlight your experience with both backend and frontend technologies, particularly Python and React. Be prepared to discuss specific projects where you've built full-stack features from concept to launch.
✨Demonstrate Problem-Solving Abilities
Expect real-world coding tasks during the interview. Practice solving problems that involve designing APIs and working with cloud infrastructure, as these are key components of the role.
✨Understand AI Safety Concepts
Familiarise yourself with AI safety principles and the challenges faced in the field. Being able to discuss how your work can contribute to reducing risks in AI systems will set you apart.
✨Emphasise Collaboration and Communication
This role involves working closely with researchers and engineers. Be ready to share examples of how you've successfully collaborated in cross-functional teams and contributed to product direction.