At a Glance
- Tasks: Build AI products that connect expertise with opportunities and automate processes.
- Company: Join a dynamic early-stage team at Ethos, backed by top investors.
- Benefits: Enjoy high autonomy, impactful work, and a flat hierarchy.
- Other info: Perfect for entrepreneurial spirits looking to build something meaningful.
- Why this job: Shape the future of AI while making a real difference in human opportunity.
- Qualifications: AI-native with hands-on experience in LLMs and full-stack development.
The predicted salary is between 60000 - 80000 € per year.
We’re building AI to make humans irreplaceable. Ethos is the platform that matches human expertise to paid opportunities, from advisory roles to consulting opportunities and full-time positions, backed by a16z, General Catalyst and other top investors. Small team. Flat hierarchy. High ownership. We build first, experiment rapidly, and automate every process after mastering it once. We lead with taste, clarity, and empathy. We are looking for winners with a heart of gold.
The Role
- You will build the products that define how knowledge flows between people and organizations.
- User-facing: The research and sourcing platform used by investors, consultants, and enterprises to find and engage experts at scale - search, matching, autonomous agents, report generation.
- Developing and evolving the Ethos voice agent into a true companion that can help match experts to economic opportunities at scale.
- Internal-facing: The systems that automate how we source, screen and match experts across every opportunity on the platform.
- You will own full slices of product end-to-end - from problem definition through deployment.
Why Ethos
- Early-stage team where your work directly shapes the product and company trajectory.
- Mission that matters: advancing human opportunity in the age of AI.
- Backed by tier-one investors who believe in what we’re building.
- No bureaucracy. High trust, high autonomy, high impact.
Key requirements
- You are truly AI-native. You build all day long - switching between Claude Code, Cursor, Codex, and whatever ships next week.
- You have an open-source repo.
- You build products for yourself and for your friends on weekends.
- People describe you as restless and entrepreneurial.
- You’ve probably tried to start a company already, but it’s not the right time to go permanent on your own - so you want to build something that matters with a team that moves as fast as you do.
- You write clean, production-grade code and ship daily, not quarterly.
- You have deep hands-on experience with LLMs - prompt engineering, RAG, agents, evaluation, fine-tuning. Reinforcement Learning and RL environments is a bonus!
- You build full-stack: backend services, APIs, data pipelines, and enough frontend to ship a complete feature.
- No one hands you a spec. You find the problem, scope the solution, and deliver it.
- You have taste - you care about the details that separate a good product from a forgettable one.
Artificial Intelligence Engineer in London employer: Ethos
At Ethos, we pride ourselves on being an exceptional employer that fosters a dynamic and innovative work culture. As part of our early-stage team, you'll enjoy high ownership and autonomy while directly influencing the product and company trajectory. With a mission that advances human opportunity in the age of AI, we offer meaningful work backed by top-tier investors, ensuring you have the resources and support to grow your skills and make a significant impact.
StudySmarter Expert Advice🤫
We think this is how you could land Artificial Intelligence Engineer in London
✨Tip Number 1
Network like a pro! Reach out to people in the AI space, attend meetups, and connect on LinkedIn. The more you engage with the community, the better your chances of landing that dream role.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving LLMs and AI. This is your chance to demonstrate your hands-on experience and creativity to potential employers.
✨Tip Number 3
Prepare for interviews by practising problem-solving on the spot. Companies like Ethos want to see how you think and approach challenges, so be ready to showcase your thought process and coding skills.
✨Tip Number 4
Apply through our website! We love seeing candidates who are genuinely interested in what we do. Tailor your application to highlight how your skills align with our mission of advancing human opportunity in the age of AI.
We think you need these skills to ace Artificial Intelligence Engineer in London
Some tips for your application 🫡
Show Your Passion for AI:When writing your application, let your enthusiasm for AI shine through! Share specific projects or experiences that highlight your skills and passion for building innovative solutions. We want to see how you live and breathe AI!
Be Clear and Concise:Keep your application straightforward and to the point. Use clear language to describe your experience and skills. We appreciate clarity, so avoid jargon and make it easy for us to understand your journey and what you bring to the table.
Highlight Your Ownership Experience:Since we value high ownership, make sure to showcase instances where you've taken charge of a project from start to finish. Describe how you identified problems, scoped solutions, and delivered results. We love seeing candidates who take initiative!
Tailor Your Application:Don’t just send a generic application! Tailor your CV and cover letter to reflect the specifics of the role and our mission at Ethos. Show us why you’re the perfect fit for our team and how you can contribute to making humans irreplaceable!
How to prepare for a job interview at Ethos
✨Know Your AI Inside Out
Make sure you’re up to speed with the latest in AI, especially LLMs and prompt engineering. Be ready to discuss your hands-on experience and any projects you've worked on. This shows you’re not just familiar with the theory but can apply it practically.
✨Showcase Your Projects
Bring along your open-source repo or any personal projects that highlight your skills. Talk about the challenges you faced and how you overcame them. This gives a glimpse into your problem-solving abilities and entrepreneurial spirit.
✨Emphasise Your Ownership Mindset
Since the role involves high ownership, be prepared to share examples of when you took charge of a project from start to finish. Discuss how you defined problems, scoped solutions, and delivered results. This will resonate well with their flat hierarchy and trust-based culture.
✨Demonstrate Your Taste and Attention to Detail
Discuss how you ensure quality in your work. Whether it's through clean code or thoughtful design, show that you care about the finer details that make a product stand out. This aligns perfectly with their emphasis on taste and clarity.
