Owen Thomas | B Corp™
Senior & Lead Product Engineers - Python focused | Django, FastAPI, AWS, JavaScript | Building Human Intelligence > AI Infra | Research + Healthcare | Remote (UK) | £80-130k base, Bonus + Equity
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Senior & Lead Product Engineers - Python focused | Django, FastAPI, AWS, JavaScript | Building Human Intelligence > AI Infra | Research + Healthcare | Remote (UK) | £80-130k base, Bonus + Equity
Senior & Lead Product Engineers - Python Focused
"Building Human Intelligence > AI Infrastructure" Remote (UK) | £80k–£130k base, Bonus + Equity | Django, FastAPI, AWS, JavaScript
The Company: Why This Matters
AI systems are only as reliable as the data and feedback loops behind them. We partner with a profitably growing technology company that develops infrastructure for trustworthy AI platforms. Their solution is widely used globally across research, healthcare, and enterprise, where accuracy, integrity, and real-world impact are critical.
After a decade of success, the company is rapidly scaling due to surging demand in AI. With a strong product-market fit and ambitious growth planned, they’re investing in senior engineering leaders to shape the next evolution of their platform.
The Role
Join a high-performance, product-driven engineering team—small but impactful—collaborating to build high-scale backend systems that form the core of their AI platform.
This is a backend-centred (Python ≈70%) role with direct influence over system design, architecture, and product direction. Expect ownership over delivery, scalability, and maintainability, alongside opportunities to contribute to a trusted infrastructure powering global AI applications.
Key focus: Balancing speed, reliability, and long-term quality while shaping a platform that impacts how real-world AI systems perform.
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What You’ll Do
- Own and design backend services in Python, leveraging Django & FastAPI.
- Build scalable APIs and workflows supporting global deployments.
- Optimise for reliability, performance, and developer experience.
- Collaborate with Product & Design for end-to-end feature delivery (with TypeScript exposure when relevant).
- Help evolve engineering practices as the team grows.
- Thoughtful pragmatism: Fast iterations, but engineering-first mindsets at scale.
Our Tech Stack
- Primary:
- Python (Django core, FastAPI)
- PostgreSQL
- Secondary:
- TypeScript / Vue.js (for frontend components)
- AWS (AWS Lambda, S3, RDS, etc.)
- CI/CD pipelines
Who You Are (Requirements)
- 4–6+ years of professional software engineering experience.
- Production-grade Python expertise; hands-on experience with Django/FastAPI.
- Experience building scalable, high-reliability backend systems.
- Thrives with ownership and operating in ambiguity.
- Product mindset: Aligns engineering with business impact.
- Clear communicator; collaborative and team-driven.
- Preference for startups/scale-ups (experience preferred but not mandatory).
- Degree requirements? Nope. Skills and track record speak louder.
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(Bonus, not required: Prior exposure to AI systems, data-heavy industries, or research platforms.)
What We’re Looking For: The Interview Process
This is a structured yet conversational process:
- 30-minute intro with Engineering and Talent.
- Collaborative Python pairing session (60 mins).
- Product & architecture discussion.
- Final conversation with senior leadership.
Focus: Real-world problem-solving, thoughtful engineering, and alignment with our mission.
Why This Is a Great Opportunity
✅ High-impact work: Directly influence real-world AI performance for global customers. ✅ Senior-first environment: Competitive bar for hiring → low ego, high collaboration. ✅ Remote within the UK (offices available in London). ✅ Team scaling: ~60 engineers → 100+, meaning room to breathe and grow. ✅ Compensation:
- Base: £80–130k
- Bonus + Equity for long-term growth.
- Full benefits package.
Ready to Build Something That Lasts?
If you’re a senior Python engineer passionate about creating solid, scalable, and impactful AI infrastructure—and excited to work remotely while shaping the future of AI reliability—this is an opportunity worth considering.
Apply now with your CV, and we’ll reach out if there’s alignment.
Let’s make AI systems easier to trust, depend on, and scale. 🚀
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