AI Software Engineer, Firebase, GCP, COR7557E
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
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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