Founding Backend Engineer (Python / Django)
Summary
A founding backend engineer joins a small AI-native startup in London to build the backend for a proactive AI lifestyle platform for high-performing clients, working directly with the CTO. Core stack: Python, Django/DRF, Celery, PostgreSQL, GCP, Terraform, plus LLM integrations, RAG and agent orchestration.
🚀 Backend Engineer | Founding Engineering Team | AI / LLM
London | 4 days onsite, 1 WFH
£160,000 + meaningful equity
Python | Django | GCP | LLMs | RAG | Agent Orchestration
Pulse Group are proud to be working with an incredibly exciting AI-native startup building a next-generation product that goes far beyond "just another chatbot!"
They’re creating a proactive AI Lifestyle Operating System for some of the world’s highest-performing founders, athletes and creatives, using AI to actually advise, execute and manage across travel, dining, wellness, experiences and more.
The business has already raised $12m from an impressive group of investors and is now expanding its founding engineering team.
This is a genuinely hands-on, high-ownership position working directly alongside the CTO, building the backend infrastructure behind the product and taking features all the way from idea to production.
What we’re looking for:
5+ years building production backend systems
Excellent Python & Django / DRF experience
Strong SQL and PostgreSQL knowledge
Experience with background processing, ideally Celery
Hands-on experience with LLMs or AI infrastructure
Cloud-native production experience, ideally GCP
Exposure to RAG, agent-based systems or orchestration is a big plus
Someone who enjoys ownership, solving difficult engineering problems and shipping
Tech: Python | Django | DRF | Celery | GCP | Terraform | PostgreSQL | LLM Integrations | Agent Orchestration | RAG | REST APIs | CI/CD
This isn't one for someone looking to disappear into a huge engineering organisation. It’s a small, senior founding team where you’ll be close to the CTO, close to the product and have genuine influence over the technical direction as the company scales.
If you’re a seriously good Python/Django engineer who wants to build at the sharp end of applied AI, drop me a message for a confidential chat.
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