AI Software Engineer - Reading

Salary: £40,000 - 80,000 per year

Requirements

• We need deep Firebase expertise, including Firestore, Cloud Run, Auth, and Security Rules, with experience building production systems rather than prototypes.
• We need demonstrable experience building and deploying complex AI applications using LLMs and, ideally, agentic workflows.
• We would value familiarity with vector databases such as pgvector, ChromaDB, Pinecone, or similar.
• We are looking for an engineer who wants to step into a leadership path and grow toward a CTO role as the company scales.

Responsibilities

• We will have you build on Firebase using the Claude API and leading LLMs.
• We will have you design and deliver the end-to-end architecture, security, performance, and integrations for our platform.
• We will have you take well-defined specs and prototypes and turn them into production-quality code.
• We will have you work closely with our Head of Product to translate ideas into scalable technical solutions.
• As we grow, we will have you help build our engineering function by hiring, structuring, and mentoring the team.
• We will expect you to help establish the technical direction as we scale toward a CTO-level role.

Technologies

• AI
• API
• Cloud
• CTO
• Firebase
• Security
• GCP

More

We are an early-stage start-up building a workflow and intelligence platform powered by agentic AI, multimodal analysis, and domain-specific insight. This is a hands-on lead engineering role with a clear path to CTO as we scale, ideal for an engineer who wants to lead and grow with the business. We work fully remotely, with frequent meetups to share ideas, and we offer stock options along with strong opportunities for progression and development as part of a rapidly scaling company.

last updated 21 week of 2026