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Back end developer

London
Stealth AI Startup in Capital Markets
Developer
Posted: 9h ago
Offer description

Job Description

Who We Are

We are a stealth AI startup in capital markets building the next generation of tools for fundamental investors.


While industries such as software development and biotechnology have been transformed by artificial intelligence, the day to day workflow of professional stock market investors remains surprisingly manual. Much of the work still relies on PDFs, spreadsheets and legacy terminals.


Our founding team brings together deep experience from both finance and AI, including the founder of a well recognised hedge fund, the leader of a highly respected independent fund management firm and one of the early pioneers in applied AI whose previous company became globally recognised for developing the first widely known AI system capable of synthesising realistic speech and video content, before being acquired by a major NASDAQ listed business.


We are not applying AI as a surface level enhancement. We are rebuilding the system from the ground up to help investors think more clearly, move more quickly and act with greater conviction.


The Role

We are looking for a backend engineer to help build and scale the infrastructure behind our first product. This product combines portfolio analytics, real time chat and intelligent news workflows in a single platform designed for professional investors.


You will join a small, fast moving team working with high levels of ownership and trust. You will contribute to core architectural decisions and take responsibility for major backend systems.


What You Will Do

-Design and maintain scalable APIs and backend services using PostgreSQL, pgvector and modern TypeScript

-Build and optimise vector search pipelines and background jobs for processing large volumes of unstructured data

-Implement comprehensive testing across unit, integration and end to end levels

-Establish and maintain reliable continuous integration and deployment workflows

-Ensure system performance, reliability and observability in production

-Create and maintain clear internal documentation to support future onboarding and scaling


Our Tech Stack

-We use TypeScript and Node.js

-Our data infrastructure includes PostgreSQL with pgvector, Redis, and BullMQ

-We use tRPC, Express, Kysely, Vitest, and Jest

-We deploy using Docker, Fly.io, and Vercel

-We integrate with large language model APIs including OpenAI and Anthropic

-We use GitHub Actions for continuous integration


Nice to Have

-Experience working with retrieval augmented generation pipelines, embedding workflows or large language model tooling

-Familiarity with containerised systems and cloud platforms such as Amazon Web Services or Google Cloud Platform


What Success Looks Like in Six to Twelve Months

-You will have delivered a backend capable of processing over one hundred thousand news articles each day

-Chat queries will return results in under two hundred milliseconds for most users and the system will maintain over ninety nine percent uptime

-You will have implemented high test coverage and a reliable build and deployment pipeline

-You will have helped define a robust schema and migration history with no data loss incidents

-New engineers will be able to deploy confidently to production in their first week


Who You Are

-You are a backend engineer who cares about quality, performance and clarity

-You want your work to matter and your systems to scale

-You are energised by working with smart, focused peers in a high trust environment

-You are excited about the possibilities of AI and the opportunity to help shape a new generation of financial tools


Why Join

-You will be working with experienced founders and collaborators from top tier backgrounds in both finance and artificial intelligence

-You will help define a product with the potential to transform how some of the world’s most sophisticated investors work

-You will join early and help shape the architecture, direction and culture of the company

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