Lead AI Software Engineer - Firebase, GCP (CTO Track)

AI Software Engineer, Firebase, GCP, COR7557

An exceptional opportunity for an AI Software Engineer to join 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 the company scales - an Engineer who wants to lead.

What will I be doing?

Building on Firebase, using Claude API and leading LLMs, the AI Software Engineer will build the end-to-end architecture, security, performance and integration. Working closely with the Head of Product, the AI Software Engineer will take well-defined specs and prototypes (Replit) and turn them into production-quality code. As the company grows, the AI Software Engineer will start building the engineering function - hiring, structuring, mentoring. The expectation is that the AI Software Engineer will grow into the CTO role as the team and product scales.

What do I need?

• Deep Firebase expertise (Firestore, Cloud Run, Auth, Security Rules), having built production systems, not just prototypes
• Demonstrable experience of building and deploying complex AI applications using LLMs and ideally, agentic workflows
• A familiarity with vector databases (pgvector, ChromaDB, Pinecone or similar) is a plus

Benefits include:

• Flexibility - the team works fully remotely, albeit with frequent meetups to share ideas
• Stock options

Browse our curated collection of remote jobs across all categories and industries, featuring positions from top companies worldwide.

• Excellent opportunities for progression and development, as part of a rapidly scaling company

So What's Next?

If you are an experienced AI Software developer, keen to progress into a CTO role and would like to learn more, please apply below and I will be in touch with you shortly to discuss the role further

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