AI/ML Engineer - Founding Technical Role
We are spinning off our internally built AI copilot into a standalone startup. The product is launched from UC Launch Accelerator, awarded by UC Berkeley Haas Startup Seed Funding, with experienced distribution partners. Well-positioned for pre-seed. You'll be evaluated as a founding technical engineer or technical co-founder depending on your actual contribution to building and shipping the product. This role is equity + profit sharing — not a 9-to-5 job. It's a rare opportunity to connect directly with investors, accelerators, and enterprise customers, and to grow a team as an owner.
- *Responsibilities:
- Design, build, and optimize ML pipelines — data ingestion, feature engineering, model training, and deployment for production systems
- Build and extend core ML platform capabilities: RAG retrieval, embedding services, model registry, and feature store
- Integrate ML models into user-facing features including document analysis, financial reconciliation, and AI-assisted training
- Conduct model experimentation, A/B testing, and performance analysis to guide production deployment
- Optimize systems for performance, scalability, and reliability
- Ensure data accuracy and quality through automated validation and monitoring
- Manage ML infrastructure in cloud environments including deployment pipelines and security
- Participate in code reviews and uphold engineering best practices
- *Nice to have:
- 5+ years experience in AI/ML with production deployment
- Combination of big tech and entrepreneurial experience preferred
- Familiarity with RAG systems, fine-tuning, LLM APIs, vector databases, or NLP
- *Join us on the entrepreneurship journey.**
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