AI Software Engineer, Firebase, GCP

Salary: £40,000 - 80,000 per year

Requirements

• We have deep Firebase expertise, including Firestore, Cloud Run, Auth, and Security Rules, with experience building production systems rather than prototypes.
• We have demonstrable experience building and deploying complex AI applications using LLMs and, ideally, agentic workflows.
• We have familiarity with vector databases such as pgvector, ChromaDB, Pinecone, or similar, which is a plus.
• We are an experienced AI software engineer who wants to progress into a CTO role as the company scales.

Responsibilities

• We will build on Firebase using the Claude API and leading LLMs.
• We will design and own the end-to-end architecture, security, performance, and integration of the platform.
• We will take well-defined specs and prototypes and turn them into production-quality code.
• We will work closely with the Head of Product to deliver the product roadmap.
• As we grow, we will help build the engineering function through hiring, structuring, and mentoring.
• We will grow into a lead engineering and future CTO role as the team and product scale.

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 opportunity with a clear path to CTO as we scale. We work fully remotely, with frequent meetups to share ideas, and offer stock options plus strong opportunities for progression and development as part of a rapidly scaling company.

last updated 28 week of 2026