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# Full Stack Engineer

- **Company:** limitless
- **Location:** Greater London, UK
- **Experience:** Experienced
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Spreadsheets, Continuous Integration, Database Design, Software Debugging, Python (Programming Language), PostgreSQL, Redis, Next.js, Twilio, TypeScript, Unstructured Data, WebRTC, Datadog, Google Cloud, ReactJS, Large Language Models, Backend, Fastapi, Event Driven Architecture, Sentry, Front End Software Development, Webhooks, Api Management
- **Published:** September 9, 2026
- **Apply:** https://www.collegerecruiter.com/job/2842869938-full-stack-engineer

## About the Role

* Have 3+ years of Python with genuinely strong FastAPI experience - async APIs, event-driven services, and solid fundamentals underneath (database design, queuing, CI/CD), not just surface familiarity
 * Have 2+ years building and shipping AI agents or LLM-powered systems in production - real end-to-end orchestration (LangGraph or similar), not just having called an LLM API
 * Have strong, evidenced RAG experience - structuring unstructured data, hands-on with vector databases (Pinecone, pgvector or similar)
 * Can go equally deep on TypeScript/React/Next.js in production, not side projects
 * Know your way around Postgres, Redis, and GCP or AWS in a live environment, with real observability and debugging chops (Datadog, Sentry, LangSmith or similar)
 * Have genuinely taken something from 0 to 1 - built and owned an entire system from scratch, ideally at an early-stage startup or solo on your own product
 * Are a fast, sharp thinker who can talk product as naturally as code - this is a founding seat, and we're looking for outsized impact, not just competent delivery
 * Want a founding seat and the equity that comes with it, not a job spec someone else already wrote

Nice to have: voice AI / real-time communication experience (LiveKit, Twilio, WebRTC, STT/TTS)

## Description

Property still runs on scribbles, spreadsheets and "sorry, we missed your call." My client is fixing that - building AI workers that handle tenant engagement, landlord outreach, compliance and maintenance autonomously, replacing decades-old agency workflows.

$5.5m+ raised from top-tier VCs, already live with agencies across the UK and gaining traction in the US.

Now they need founding-level Full-Stack Engineers to own the whole stack, not a slice of it.

You'll build the Python/FastAPI backend that orchestrates the AI agents - telephony and real-time voice, LLM orchestration, RAG pipelines, and the event-driven architecture tying it all together. Just as much of this is traditional backend engineering too: API integrations with CRMs and property platforms, data modelling, webhooks, the plumbing that makes the AI actually work in production. You'll also touch the Next.js/TypeScript frontend the operators and customers use directly.

Concept to production in days, not sprints. You're making the architecture calls, not waiting for someone else to.


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