At a Glance
- Tasks: Design training curricula for AI systems and create structured problem sets.
- Company: Exciting seed-stage AI startup with a high-impact, low-bureaucracy culture.
- Benefits: Competitive salary, per-deliverable bonuses, and exposure to cutting-edge AI work.
- Other info: Ideal for curious minds eager to dive into innovative tech without corporate red tape.
- Why this job: Be part of a small team making a massive impact in the AI field.
- Qualifications: 1+ years of Python experience and a hacker mindset.
The predicted salary is between 30000 - 40000 € per year.
If you’re a curious engineer fresh out of university (or with 1–3 years of experience) and obsessed with AI, you will not find a more exciting position or business than this! We're hiring multiple positions and are open to a range of seniorities.
We’re partnering with an extremely well-funded, seed-stage AI company building something foundational: interactive, resettable digital environments where AI agents learn through experience, not just static datasets. Think: instead of just training on text, AI learns by actively using software, from video editing tools to complex simulation platforms, inside high-fidelity digital sandboxes. This role sits at the heart of that mission.
The Role:You’ll design the actual training curriculum for AI systems. That means:
- Turning real-world software usage into hundreds of structured problems for AI models to solve
- Writing prompts, defining expected behaviours, and building verifiers
- Using Python + LLM APIs + clever tooling to generate tasks at scale
- Experimenting constantly to improve how models learn
It’s hands‑on, experimental, and highly technical. There’s rarely a single “right” answer - progress comes from trying things, iterating fast, and finding leverage. If you like building scrappy prototypes, hacking together clever solutions, and seeing immediate results, you’ll thrive here.
What You’ll Be Doing:- Creating structured problem sets that train AI models on real software
- Building Python‑based verification systems to evaluate AI behaviour
- Collaborating with domain experts to translate messy real‑world workflows into structured learning tasks
- Designing tooling, scripts and agentic workflows that multiply output over time
- Running fast feedback loops and QA to ensure quality before delivery
- 1+ years using Python to solve real problems
- Software engineering fundamentals
- Experience using LLM APIs or working with agent‑style systems
- A hacker mindset - pragmatic, experimental, not obsessed with over‑engineering
- Comfort with shipping fast, learning fast, iterating fast
- Genuine intellectual curiosity - you enjoy diving into new technical domains
This would suit someone:
- Fresh out of university with strong internship experience
- Or 1–2 years into their career and wanting serious responsibility
- Who wants exposure to frontier AI work without 1,000 layers of corporate process
- You’ll work on one of the most technically interesting problems in AI right now
- Small team, massive impact — your work ships directly to leading AI labs
- Seed‑stage but well‑funded and backed by top‑tier founders and investors
- High‑trust, low‑bureaucracy culture
- Competitive salary + per‑deliverable bonuses
This isn’t a “maintenance engineering” role. It’s experimental, foundational, and high‑agency. If you’re the kind of person who:
- Builds side projects for fun
- Breaks tools to understand how they work
- Gets excited about LLMs and agent systems
- Wants to be early in something that could matter
Please apply or DM me for details - they’re still in stealth, so we’ll share more privately.
Software Engineer employer: bloom
Join a pioneering AI startup in London where your contributions will directly shape the future of interactive AI learning. With a high-trust, low-bureaucracy culture, you'll enjoy competitive salaries, per-deliverable bonuses, and the opportunity to work on groundbreaking projects alongside top-tier founders. This is an environment that fosters intellectual curiosity and rapid experimentation, making it an ideal place for engineers eager to make a significant impact in the AI landscape.
StudySmarter Expert Advice🤫
We think this is how you could land Software Engineer
✨Tip Number 1
Network like a pro! Reach out to people in the AI space, attend meetups, and connect on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Python and AI. This is your chance to demonstrate your hacker mindset and problem-solving abilities.
✨Tip Number 3
Prepare for interviews by practising coding challenges and discussing your thought process. Be ready to explain how you approach problems and iterate on solutions, just like you would in the role.
✨Tip Number 4
Don’t forget to apply through our website! We’re looking for curious minds who want to dive into the world of AI. Your next big opportunity could be just a click away!
We think you need these skills to ace Software Engineer
Some tips for your application 🫡
Show Your Curiosity:We want to see your passion for AI and software engineering shine through in your application. Share any personal projects or experiences that highlight your curiosity and willingness to experiment with new technologies.
Tailor Your Application:Make sure to customise your CV and cover letter to reflect the specific skills and experiences mentioned in the job description. We love seeing how your background aligns with our mission and the role's requirements.
Be Clear and Concise:When writing your application, keep it straightforward and to the point. We appreciate clarity, so avoid jargon and focus on communicating your ideas effectively. Remember, less is often more!
Apply Through Our Website:For the best chance of getting noticed, make sure to apply directly through our website. It helps us keep track of applications and ensures you’re considered for this exciting opportunity!
How to prepare for a job interview at bloom
✨Know Your Python Inside Out
Make sure you brush up on your Python skills before the interview. Be ready to discuss how you've used Python in real-world scenarios, especially in problem-solving contexts. They’ll want to see your practical experience, so think of specific projects or challenges you've tackled.
✨Show Off Your Curiosity
This role is all about intellectual curiosity and experimentation. Prepare examples of how you've explored new technologies or solved problems creatively. Whether it’s a side project or a hackathon, share your experiences that highlight your passion for learning and innovation.
✨Understand AI Fundamentals
Since this position revolves around AI, make sure you have a solid grasp of AI concepts, especially related to LLMs and agent systems. Familiarise yourself with how these technologies work and be ready to discuss their applications in real-world scenarios.
✨Prepare for Hands-On Problem Solving
Expect to engage in hands-on problem-solving during the interview. They might present you with a scenario or a coding challenge. Practice coding on the spot and be prepared to explain your thought process as you work through the problem. This will showcase your hacker mindset and ability to iterate quickly.
