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- Tasks: Lead product engineering, build features, and ship user-friendly apps across web and mobile.
- Company: Join Affinity Labs, a pioneering AI venture studio in London.
- Benefits: Equity stake, rapid shipping with AI, and hands-on experience in a dynamic environment.
- Other info: Collaborate with creators and industry experts to launch multiple products each year.
- Why this job: Be a founding engineer, make a real impact, and grow your skills fast.
- Qualifications: 3-6 years of full-stack experience, strong Python and React Native skills.
The predicted salary is between 36000 - 60000 £ per year.
At Affinity Labs, we’re building a full-stack AI venture studio that partners with content creators to co-found authentic, scalable software businesses. By combining AI-native development with creator-led distribution, we are pioneering a new model of monetisation by rapidly building, launching, and scaling digital ventures alongside creators and their audiences.
We aim to launch ventures 10x faster and cheaper than traditional methods using our internal "AI factory": a multi-agent architecture, reusable component libraries, and a growing knowledge graph that learns from every product we ship.
You’ll lead end-to-end product engineering across our portfolio: scoping features, designing APIs and data models, building backend services, and shipping polished user-facing experiences across web and mobile. This is an early-stage, hands-on role with significant autonomy and responsibility. You will own full-stack product delivery, from infrastructure and AI integrations through to React / React Native interfaces, collaborating closely with founders, creators, product, and design to turn lean specs into scalable, user-loved software.
We’re looking for a strong generalist with backend depth and real mobile experience.
Responsibilities- Implement features end-to-end (mobile + web frontend → APIs → data models → integrations) while maintaining quality and velocity.
- Build React Native mobile apps and shared component systems across products.
- Design and ship scalable backend services (APIs, integrations, AI workflows).
- Run tight build → test → iterate → ship loops; provide realistic estimates and surface blockers early.
- Manage tech debt pragmatically.
- Participate in daily standups and weekly planning; contribute to technical strategy and execute from Linear tickets.
- Contribute meaningfully to product and architecture discussions; be heard in debate and align to unified decisions.
- Own operability: CI/CD, monitoring/alerting, performance optimisation, safe rollbacks.
- Build and integrate AI features (LLM/agent workflows, RAG/vector DB integration, eval hooks, cost/safety guardrails).
- Help evolve our reusable product templates and shared architecture across the portfolio.
- 3-6+ years building production-grade full-stack applications, with clear ownership.
- Strong backend experience in Python (FastAPI preferred) and solid database skills (PostgreSQL/MongoDB).
- Proven experience building and shipping mobile apps with React Native.
- Strong React fundamentals (Next.js experience a plus).
- Solid API design and systems thinking.
- Familiarity with AWS serverless patterns and Docker; basic CI/CD concepts.
- Comfortable with Redis (caching/sessions) and queue/messaging patterns.
- Startup mindset: high ownership, comfort with ambiguity, bias toward shipping.
- Growth mindset & flexibility: open to feedback; not rigid about stack/tools.
- Clear communicator & collaborator; able to guide product decisions from engineering perspective.
- Evidence of shipping quickly in small teams (links to apps, repos, case studies, live products).
- Node.js alongside Python for services or integrations.
- App Store / Google Play release experience.
- Experience with vector databases (e.g., Chroma) and embedding pipelines.
- LangChain or CrewAI for orchestration; MCP servers for integrations.
- Security hygiene (secrets, permissions, least-privilege) and practical data-privacy basics.
- Planning & execution in Linear (or similar).
- Backend/Runtime: Python (FastAPI), Node.js.
- Frontend: React/Next.js Mobile: React Native.
- Datastores: PostgreSQL, MongoDB (as appropriate), Redis (caching/sessions).
- Vectors/Embeddings: Chroma (or similar).
- AI Models & APIs: Claude (Anthropic), Gemini (Google); Amazon Nova Canvas (vision), Deepgram (audio).
- AI Dev Tools: LangChain or CrewAI (orchestration), MCP servers (integration), GitHub Copilot / Claude Code.
- Infrastructure: AWS (serverless functions), Docker (primarily for custom MCPs).
- Communicates clearly with technical and non-technical teammates.
- Takes ownership from concept to deploy and through maintenance.
- Thinks in systems + design for reuse across a portfolio.
- Balances technical excellence with pragmatic delivery to meet business needs.
- Adapts quickly to changing requirements and emerging tech; applies AI learnings.
- Sets clear goals, tracks progress, and hits commitments; collaborates across disciplines.
Why this role is a career launchpad: Own the code & the company. You step in as a Founding Engineer with a meaningful equity stake from day one. Ship faster with AI at your side. Our workflow bakes in AI so you spend your time solving real problems—not boilerplate. Ride a rocket. Our wider vision is big and the bar is high; we need driven people who can help us achieve an ambitious roadmap. Grow like crazy. You’ll architect, build, and launch multiple products each year. The shipping reps you’ll get in 12 months here would take 3–4 years in a typical startup. There’s a lot of work, it’s high intensity, and the expectation is to ship extremely quickly. Learn from builders, not bosses. Work shoulder-to-shoulder with a team that has scaled VC-backed startups, closed multi-million-pound term sheets, and collaborated with 1,000+ creators across formats and categories.
Product Engineer in London employer: Affinity Labs
Contact Detail:
Affinity Labs Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Product Engineer in London
✨Tip Number 1
Network like a pro! Get out there and connect with people in the industry. Attend meetups, webinars, or even just grab a coffee with someone who works at Affinity Labs. You never know who might put in a good word for you!
✨Tip Number 2
Show off your skills! Create a portfolio that highlights your best work, especially any projects related to full-stack development or AI. Make sure to include links to apps or repos that demonstrate your expertise—this is your chance to shine!
✨Tip Number 3
Prepare for the interview like it’s the Super Bowl! Research Affinity Labs, understand their products, and think about how your experience aligns with their mission. Be ready to discuss your past projects and how you can contribute to their rapid growth.
✨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, it shows you’re genuinely interested in being part of the Affinity Labs team!
We think you need these skills to ace Product Engineer in London
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your CV and cover letter for the Product Engineer role. Highlight your experience with full-stack applications, especially in Python and React Native, as these are key for us at Affinity Labs.
Showcase Your Projects: Include links to any apps or projects you've built, especially those that demonstrate your backend and mobile skills. We love seeing real examples of your work, so don’t hold back!
Be Clear and Concise: When writing your application, keep it straightforward. Use clear language to explain your experience and how it aligns with our needs. We appreciate a well-structured application that gets to the point.
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 the role. Plus, it shows you’re keen on joining our team!
How to prepare for a job interview at Affinity Labs
✨Know Your Tech Stack
Make sure you’re well-versed in the technologies mentioned in the job description, especially Python, React Native, and AWS. Brush up on your backend skills and be ready to discuss how you've used these tools in past projects.
✨Showcase Your Projects
Bring along examples of your previous work, especially any production-grade applications you've built. If you have links to apps or repositories, share them! This will demonstrate your hands-on experience and ability to ship quickly.
✨Prepare for System Design Questions
Expect questions around API design and system architecture. Think through how you would approach building scalable services and be ready to discuss your thought process. Practising with mock interviews can help you articulate your ideas clearly.
✨Emphasise Collaboration Skills
Since this role involves working closely with founders and creators, highlight your communication and collaboration experiences. Be prepared to discuss how you’ve contributed to team discussions and aligned on technical decisions in the past.