Job Description
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
- 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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