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Founding Engineer - WarrenAI

Founders Factory Ltd.

City Of London

On-site

GBP 80,000 - 100,000

Full time

Today
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Job summary

A progressive tech company in London seeks a talented AI Developer to build and optimize AI features for their platform. You will work with modern technologies like Python and Next.js, shaping product direction while maintaining a strong focus on user experience. Ideal candidates are mission-driven and excited about AI-powered solutions.

Benefits

Meaningful equity stake
Massive autonomy

Qualifications

  • Experience building with AI and LLM features.
  • Ability to work with modern backend LLM tooling.
  • Passionate about B2C challenges and product development.

Responsibilities

  • Build, optimise, and connect our ecosystem of AI features.
  • Prototype new capabilities and iterate based on user feedback.
  • Help shape product direction and engineering culture.

Skills

AI building
Python
Lightweight frontends (Next.js)
Product direction shaping
B2C experience

Tools

FastAPI
AWS
Job description

Warren AI is your personal AI financial coach - making expert financial planning accessible to everyone, not just the wealthy few. Forget £2,000-a-year human advisors with clipboards or the endless DIY rabbit hole online. With Warren, you have honest, human-like conversations about your money - and get personalized, step-by-step plans to achieve your financial goals, plus instant projections for life's big decisions. This isn't another chatbot. It's a trusted partner that cuts through jargon and gives you the clarity that normally costs thousands - now available 24/7, for a fraction of the price. Check it out here: https://meetwarren.co.uk/

Why This Matters Only 1 in 10 people ever use a financial advisor. That leaves millions of successful professionals stressed, stuck, and financially under-optimized. The result? A generation that earns well but feels behind. We believe that's unacceptable - and solvable. By using AI to deliver personalized, judgment‑free coaching at scale, we're democratizing financial clarity and confidence. If we succeed, we'll fundamentally change how an entire generation builds wealth.

Why Now Breakthroughs in AI and changing market dynamics have created a once-in-a-decade opportunity. People are turning to generic chatbots for financial advice - even though those tools were never built for such a high‑stakes, deeply personal domain. The gap between what people need and what's available has never been wider. And we're here to bridge it.

We're looking for someone who loves building with AI and had the experience to do it well. What matters is that you care deeply about what we're building, and you're excited to shape the future of AI‑powered finance from the ground up. Maybe you've shipped production LLM features before. Maybe you've been tinkering with agents on weekends. Maybe you're early in your career but fearless about jumping into the deep end. If you're mission‑driven, curious, and biased to ship - we want to talk.

Responsibilities
  • Build, optimise, and connect our ecosystem of AI features - from RAG pipelines to agents to evaluation tooling.
  • Prototype new capabilities fast measure impact iterate.
  • Work across Python and lightweight frontends (Next.js) to bring complex backends to life.
  • Explore ways to make AI advice more contextual, more personalised, and more human.
  • Help shape product direction and engineering culture from day zero.
  • Comfortable working with modern backend LLM tooling: APIs, agents, prompt engineering, context management, evals.
  • Passionate about building and optimising agentic, LLM‑first products.
  • Bonus: experience with voice AI or multimodal interfaces.
  • A strong bias to ship fast and learn from users.
  • Excited by the challenge of B2C: big reach, messy data, rapid iteration.
Our Stack (So Far)
  • FastAPI · Python (AI) · LiveKit · Next.js + TypeScript · Vercel AI SDK · AWS
  • A meaningful equity stake as part of the founding team
  • Freedom to build and scale the product your way - with massive autonomy.
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