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 make a difference.
- Why this job: Shape the future of AI while advancing 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. This means two things:
- 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 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
✨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 will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by practising common AI-related questions and coding challenges. We recommend doing mock interviews with friends or using platforms that simulate real interview scenarios.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are genuinely interested in being part of our mission.
We think you need these skills to ace Artificial Intelligence Engineer
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 experiences and skills. We appreciate clarity, so make sure your message is easy to understand and gets straight to the heart of what you can bring to our team.
Highlight Your Ownership Experience:Since we value high ownership, share examples where you've taken charge of a project from start to finish. Describe how you identified problems, scoped solutions, and delivered results. This will show us you're ready to own your slice of product at Ethos!
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re proactive and keen to join our team!
How to prepare for a job interview at Ethos
✨Know Your AI Inside Out
Make sure you’re well-versed in the latest AI technologies and trends. Brush up on your experience with LLMs, prompt engineering, and any relevant projects you've worked on. Be ready to discuss how you’ve applied these skills in real-world scenarios.
✨Showcase Your Projects
Bring along your open-source repo or any personal projects that highlight your coding skills and creativity. This is your chance to demonstrate your hands-on experience and entrepreneurial spirit, so make it count!
✨Emphasise Problem-Solving Skills
Prepare to talk about how you identify problems and scope solutions. Ethos values autonomy and initiative, so share examples of how you’ve taken ownership of a project from start to finish, especially in fast-paced environments.
✨Demonstrate Your Taste and Attention to Detail
Discuss what makes a product stand out to you and how you ensure quality in your work. Ethos is looking for candidates who care about the finer details, so be prepared to explain how you balance functionality with user experience.
