As the first engineering hire at cepter, you will architect the systems turning complex energy documents into actionable AI data. You’ll build end-to-end features using FastAPI, React, and Temporal, owning everything from database migrations to LLM pipelines. This high-intensity role offers the chance to define the technical foundation for the energy transition’s AI infrastructure.
Founding Engineer at cepter
Join cepter as our first engineer to build the AI infrastructure powering the global energy transition. Founded by an elite team from Oxford, BCG, and ETH Zurich, we are bridging the gap between unstructured energy data and AI reliability by transforming complex legal documents into machine-ready intelligence. If you have 6+ years of startup experience and a high-agency mindset, this is a rare opportunity to own technical architecture from day one and shape a venture-backed company from the ground up in a high-intensity London environment.
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Location
London, United Kingdom
Compensation
Not Disclosed + Equity
Company
cepter
Role overview
Software
High-value industry data and publications are essential for businesses, yet remain largely inaccessible to the AI tools companies use today. Cepter fixes that.
We give data providers and publishers an out-of-the-box platform to make their proprietary data compliantly usable by AI tools by structuring their content and providing control over access, pricing and billing. For end users, cepter plugs these trusted data sources directly into AI workflows, delivering source-grounded insights instead of generic answers based on broad web searches.
We’re starting with the energy sector - a highly regulated industry that depends on reliable, deterministic insights, with data fragmented across many specialized data providers.
cepter is founded by Kaspar (Oxford / BCG / Chief of Staff at Creandum-backed terralayr) and Duxi (ETH / IBM Machine Learning Engineer).
What you will do
- Ship end-to-end features across a FastAPI and React/TypeScript stack, designing durable domain APIs and data models that work in production-like PR previews.
- Build and debug complex Temporal workflows for long-running AI pipelines, ensuring idempotency, retries, and reliable structured extraction from unstructured documents.
- Own the entire infrastructure and DevOps lifecycle using Docker Compose and Railway, while improving developer experience through robust CI checks and observability.
Who this is a fit for
- Brings at least 6 years of experience at high-performance tech startups with a proven track record of shipping full-stack products from scratch.
- Demonstrates deep expertise in Python/FastAPI, TypeScript/React, and building production-grade LLM/document pipelines using tools like Langfuse for quality diagnosis.
- Possesses a “founding bar” mindset: high agency in ambiguity, a bias toward small and correct changes, and comfort pairing with AI coding agents to accelerate delivery.
Why this role is remarkable
- Shape a company from day one as the first engineer, working directly with founders from Oxford, BCG, and ETH Zurich to define the product architecture and culture.
- Solve critical data bottlenecks in the energy transition by building sophisticated AI pipelines that process high-stakes proprietary documents and complex legal technicalities.
- Join a high-performance, high-intensity culture designed for rapid shipping, utilizing cutting-edge tools like Temporal for workflow orchestration and AI-native development workflows with Cursor and Claude.
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I get to know what you’re great at, then find roles you’d never find yourself.Ok, I'll go first. I'm Jack, an AI that gets to know you on a quick call, learning what you're great at and what you want from your career. Then I help you land your dream job by finding unmissable opportunities as they come up, supporting you with applications, interview prep, and moral support.
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What happens next?
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If your profile’s a match and cepter wants to meet, Jill will make the intro. In the meantime, Jack will send you excellent alternatives.