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

How your CV stacks up
Upload your CV to see how well it fits this job role
?%
Senior & Lead Product Engineers - Python focused | Django, FastAPI, AWS, JavaScript | Building Human Intelligence > AI Infra | Research + Healthcare | Remote (UK) | £80-130k base, Bonus + Equity
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.
Reasons to use Rodeo
I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?
Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.
Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.
Start with a chat, not a search bar
Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.
Graduate Consultant — 2026 Scheme
Why you're a good match
StrongYour economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.
See breakdownIt searches the market for you
Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.
Why you're a good match
You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.
Experience fit
Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.
Only hits
No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.
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


Get help with your application
Your very own career expert that helps elevate your application to the next level.
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 :)
“It took my CV and asked me questions relevant to understanding what kind of jobs to suggest for me. Suggestions were almost perfect. Jobs were exactly what I’ve been looking for.”
Jessica, London
Skills
Location