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.**
Apply with your resume and cover letter to [email protected]
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.**
Apply with your resume and cover letter to [email protected]