Remote Senior Fullstack Engineer (£110k-£130k) at Midnite in Derby

This is a job that Jill, our AI Recruiter, is recruiting for on behalf of one of our customers. She will pick the best candidates from Jack's network The next step is to speak to Jack . Job Title: Senior Fullstack Engineer - Nucleus Salary: £110k-£130k Company Description: Midnite - Series C betting platform backed by The Raine Group Job Description: Join a greenfield team building Midnite’s internal back-office platform from the ground up. As a player-manager, you will lead three engineers while remaining hands-on with Python and Vue. You will drive AI experimentation, leveraging LLMs and RAG to automate engineering workflows and enhance operational efficiency across this high-growth, Series C startup. Location: Remote, UK Why this role is remarkable: Lead a brand new "Nucleus" team with full autonomy to shape the internal platform and define engineering standards for the entire organization. Work for a well-funded Series C company that has raised over $75M from prestigious investors like The Raine Group, ensuring stability and scale. Drive the practical application of AI, moving beyond chatbots to productionize LLM-powered tools that directly improve developer experience and business operations. What you will do: Design and maintain the backend systems and operational dashboards that power Midnite’s internal platform using Python, Flask, and AWS. Lead and mentor a team of three engineers, managing sprint planning, professional development, and technical direction as a player-manager. Prototype and ship AI-powered improvements such as automated code review tooling, intelligent alerting, and internal assistants for non-technical teams. The ideal candidate: 7+ years of backend engineering experience with strong proficiency in Python and a high bar for software architecture and engineering standards. Proven experience leading or mentoring engineers in a hands-on capacity while successfully delivering complex technical projects in a production environment. Practical experience integrating LLMs and AI APIs into real products, with a curiosity for emerging frameworks like LangChain, LlamaIndex, or RAG pipelines. Who are Jack