AI Summary
Lead AI engineering, scale Firebase systems, drive technical vision, and grow the team. Path to CTO role in a rapidly scaling startup.
Key Highlights
Firebase expertise (Firestore, Cloud Run, Auth, Security Rules)
AI application development using leading LLMs and agentic workflows
End-to-end architecture, security, performance, and integration
Key Responsibilities
Develop and implement end-to-end architecture, security, performance, and integrations for AI applications
Build production systems leveraging deep Firebase expertise
Work closely with the Head of Product to transform specifications and prototypes into production-grade code
Lead the growth of the engineering function, including hiring, structuring, and mentoring a team
Drive the technical vision and strategy, with a clear trajectory to assume the CTO position as the company expands
Technical Skills Required
Benefits & Perks
Fully remote work flexibility
Significant stock options
Professional development opportunities
Nice to Have
Familiarity with vector databases such as pgvector, ChromaDB, or Pinecone
Job Description
We are working with a lean, rapidly scaling startup that is at the forefront of innovation, building a cutting-edge workflow and intelligence platform. This platform is powered by advanced agentic AI, sophisticated multimodal analysis, and deep domain-specific insights, poised to disrupt its industry.
The Role
- Develop and implement end-to-end architecture, security, performance, and integrations for AI applications.
- Build production systems leveraging deep Firebase expertise (Firestore, Cloud Run, Auth, Security Rules).
- Work closely with the Head of Product to transform specifications and prototypes into production-grade code.
- Lead the growth of the engineering function, including hiring, structuring, and mentoring a team.
- Drive the technical vision and strategy, with a clear trajectory to assume the CTO position as the company expands.
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- Proven expertise in Firebase, having built and scaled production systems, not just prototypes.
- Demonstrable experience building and deploying complex AI applications using leading LLMs and agentic workflows.
- Strong understanding of end-to-end architecture, security, performance, and integration within a cloud environment.
- Ability to translate well-defined specs and prototypes into high-quality, maintainable code.
- Familiarity with vector databases such as pgvector, ChromaDB, or Pinecone is a plus.
Browse our curated collection of remote jobs across all categories and industries, featuring positions from top companies worldwide.
- Opportunity to join an early-stage startup with a clear path to CTO role.
- Fully remote work flexibility with frequent team meetups for collaboration.
- Significant stock options in a rapidly scaling company.
- Excellent progression and professional development opportunities.
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