At a Glance
- Tasks: Design and build scalable backend systems using Python, Django, and FastAPI.
- Company: Join a leading tech company focused on reliable AI infrastructure for research and healthcare.
- Benefits: Competitive salary, bonuses, equity, and a strong benefits package.
- Other info: Collaborative team culture with opportunities for growth in a fast-paced environment.
- Why this job: Make a real impact on AI systems that matter globally while working remotely.
- 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 & Talent)
- 60-minute collaborative Python pairing session
- Product & architecture discussion
- Final conversation with senior leadership
Structured, respectful, and focused on real-world thinking.
Why Join -
- Globally used platform with strong product-market fit
- Direct impact on how modern AI-enabled systems perform in the real world
- Senior hiring bar - high quality, low ego
- Fully remote within the UK, with a London office
- Engineering team scaling from ~60 → 100+
- £80–100k base + bonus + equity
- Strong benefits package
If you're a senior Python engineer who enjoys building robust, high-scale systems and wants your work to contribute to more reliable, real-world AI applications - this is a genuinely meaningful opportunity. Apply with your CV and we'll be in touch if there's alignment :)
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 CorpTM
This company stands out as an exceptional employer, offering a unique opportunity to work on a globally used platform that directly impacts the performance of AI systems in critical sectors like research and healthcare. With a fully remote working environment within the UK, a strong emphasis on employee growth, and a competitive compensation package including bonuses and equity, you will be part of a high-calibre engineering team that values collaboration and innovation.
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 friendly chat can lead to opportunities that aren’t even advertised yet.
✨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 a coder but someone who understands their mission.
✨Tip Number 3
Practice coding challenges! Brush up on your Python skills and get comfortable with TDD. Websites like LeetCode or HackerRank can help you get into the groove.
✨Tip Number 4
Don’t forget to 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 highlights your experience with Python, Django, and FastAPI. We want to see how your skills align with our tech stack and the role's requirements, so don’t be shy about showcasing relevant projects!
Showcase Your Problem-Solving Skills:In your application, give examples of how you've tackled challenges in previous roles. We love seeing a product mindset, so share instances where you thought beyond just coding to improve user experience or system performance.
Be Clear and Concise:When writing your application, keep it straightforward. We appreciate clear communication, so avoid jargon and get straight to the point about your achievements and how they relate to the role.
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 this exciting opportunity to shape AI infrastructure!
How to prepare for a job interview at Owen Thomas | B CorpTM
✨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 real-world scenarios.
✨Show Your Product Mindset
During the interview, demonstrate that you think beyond just coding. Talk about how you’ve contributed to product design and architecture in previous roles, and how you balance delivery speed with long-term maintainability.
✨Prepare for Collaborative Sessions
Expect a collaborative Python pairing session. Practice coding with someone else, focusing on clear communication and problem-solving together. This will help you showcase your teamwork skills and technical expertise.
✨Understand the Company’s Mission
Familiarise yourself with the company’s focus on AI infrastructure in research and healthcare. Be prepared to discuss how your experience aligns with their goals and how you can contribute to building reliable AI systems.
