At a Glance
- Tasks: Design and build scalable backend services using Python, Django, and FastAPI.
- Company: Join a leading tech company revolutionising AI infrastructure for research and healthcare.
- Benefits: Enjoy a competitive salary, bonuses, equity, and remote work flexibility.
- Other info: Dynamic startup environment with opportunities for growth and innovation.
- Why this job: Make a real impact on AI systems that enhance global research and healthcare.
- Qualifications: 4-6 years of software engineering experience with strong Python skills.
The predicted salary is between 80000 - 100000 £ per year.
The Company - AI systems are only as reliable as the data and feedback loops behind them. We’re partnering with a profitable, globally-used technology company building infrastructure that helps global organisations develop more reliable, trustworthy AI systems. Their platform supports teams working across research, healthcare, and enterprise environments - where accuracy, integrity, and real-world performance genuinely matter. The business has been operating successfully for over a decade and is now scaling rapidly due to accelerating demand in AI. With strong product-market fit and significant growth ahead, they’re investing heavily in senior engineering talent to shape the next phase of the platform.
The Role - You’ll join a senior, product-focused engineering team working in small high performance teams building high-scale backend systems that sit at the core of the company’s platform. This is a backend-first role (Python ≈70%) with meaningful influence across system design, architecture, and product direction. You’ll operate with real ownership - balancing delivery speed, scalability, and long-term maintainability - while contributing to a platform that underpins critical AI-driven applications globally.
What You’ll Be Doing -
- Designing and owning backend services in Python (Django / FastAPI)
- Building scalable APIs and workflows supporting global usage
- Improving reliability, performance, and developer experience
- Working closely with Product and Design to shape features end-to-end
- Contributing across the stack when useful (TypeScript exposure)
- Helping evolve engineering standards as the team scales
This is a pragmatic, fast-moving Product Engineering centric environment - but with a strong emphasis on thoughtful engineering.
Tech Stack -
- Python (Django core)
- FastAPI (in parts)
- PostgreSQL
- TypeScript / Vue.js
- AWS
- Modern CI/CD practices
What They’re Looking For -
- 4–6+ years of professional software engineering experience
- Strong production-grade Python
- Experience building scalable backend systems
- Comfort operating with ambiguity and ownership
- Product mindset - thinking beyond implementation
- Clear communicator, collaborative by nature
- Experience in startup or scale-up environments preferred
- No degree requirements
- Exposure to AI systems, research platforms, or data-intensive products is a bonus — not required.
Interview Process - 30-minute intro (Engineering)
Senior Product Engineer (Python) | Django, FastAPI, TDD, AWS, JavaScript | Building Human Intelligence > AI Infra | Research + Healthcare | Remote (UK) | £80-100k+ Bonus + Equity employer: Owen Thomas | B Corp™
Join a forward-thinking technology company that is at the forefront of building reliable AI infrastructure for research and healthcare. With a strong emphasis on employee growth, you will have the opportunity to work in a collaborative, high-performance environment that values thoughtful engineering and innovation. Enjoy competitive compensation, including bonuses and equity, while working remotely from the UK, allowing for a flexible work-life balance.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Product Engineer (Python) | Django, FastAPI, TDD, AWS, JavaScript | Building Human Intelligence > AI Infra | Research + Healthcare | Remote (UK) | £80-100k+ Bonus + Equity
✨Tip Number 1
Network like a pro! Reach out to folks in your industry on LinkedIn or at meetups. A personal connection can often get you a foot in the door faster than any application.
✨Tip Number 2
Prepare for those interviews! Research the company and its tech stack, especially Python, Django, and FastAPI. Show them you’re not just another candidate but someone who genuinely cares about their mission.
✨Tip Number 3
Don’t shy away from showcasing your projects! Whether it’s a GitHub repo or a personal website, having tangible examples of your work can really set you apart from the crowd.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who take that extra step!
We think you need these skills to ace Senior Product Engineer (Python) | Django, FastAPI, TDD, AWS, JavaScript | Building Human Intelligence > AI Infra | Research + Healthcare | Remote (UK) | £80-100k+ Bonus + Equity
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that align with the role. Highlight your Python, Django, and FastAPI experience, and don’t forget to mention any work with TDD and AWS. We want to see how you can contribute to building reliable AI systems!
Craft a Compelling Cover Letter:Your cover letter is your chance to show us your personality and passion for the role. Explain why you're excited about working in AI infrastructure and how your background in software engineering makes you a great fit for our team. Keep it concise but impactful!
Showcase Your Projects:If you've worked on relevant projects, whether personal or professional, make sure to include them. We love seeing real-world applications of your skills, especially if they relate to scalable backend systems or AI-driven applications. It gives us a glimpse into your hands-on experience!
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, it shows us you’re genuinely interested in joining our team at StudySmarter!
How to prepare for a job interview at Owen Thomas | B Corp™
✨Know Your Tech Stack
Make sure you’re well-versed in Python, Django, FastAPI, and AWS. Brush up on your knowledge of building scalable backend systems and be ready to discuss how you've applied these technologies in past projects.
✨Showcase Your Problem-Solving Skills
Prepare to talk about specific challenges you've faced in previous roles, especially around TDD and improving system performance. Use the STAR method (Situation, Task, Action, Result) to structure your answers effectively.
✨Understand the Company’s Mission
Familiarise yourself with the company’s focus on AI infrastructure for research and healthcare. Be ready to discuss how your experience aligns with their goals and how you can contribute to building reliable AI systems.
✨Ask Insightful Questions
Prepare thoughtful questions that show your interest in the role and the company. Inquire about their engineering standards, team dynamics, and how they approach product development. This demonstrates your product mindset and collaborative nature.
