Software Engineer-Founding Engineer

• Build and improve production RAG and LLM-based systems
• Design and maintain data pipelines that integrate enterprise data sources at scale
• Develop full-stack product features end-to-end, from Python backend through React/TypeScript frontend
• Work on optimization and scheduling problems with real operational constraints
• Build evaluation frameworks that measure whether AI systems are actually improving

• 5+ years of hands-on software engineering experience
• Full-stack depth in Python (Django/FastAPI) and modern React/TypeScript
• Production experience building RAG and LLM-based systems, not prototypes
• Strong architectural judgment
• Comfort with large-scale data processing and cloud infrastructure (Google Cloud Platform preferred)
• Fluency with AI-assisted development tools

Nice To Haves Include:

• Experience with ERP systems, especially SAP (maintenance workflows, master data, integrations)
• Operations research or constraint programming background
• Data transformation and orchestration tools (dbt, Prefect, Airflow)

• Exclusive Ecosystem: Unparalleled access to AI Fund’s experts and Dr. Andrew Ng’s network of AI luminaries.

• Real-World Impact: We are solving critical performance gaps in energy supply while demand driven by global electrification skyrockets.
• Growth Path: Opportunity to evolve from a lead individual contributor to a team leader as the company scales.

Ayama has partnered with Andrew Ng’s AI Fund and a Fortune 500 energy leader to use AI to reshape how $10+ Trillion of heavy assets operate, are managed, and are maintained. With electrification driving rapid growth in energy and reshoring accelerating the build out of U.S. electronics and IT manufacturing, the company plans to close critical gaps by raising asset uptime & output as well as staff productivity. Ayama is looking for a Senior Software Engineer to help drive the AI revolution into critical assets.

The senior engineer will work across the full stack, including backend, frontend, data pipelines, and AI systems. The problems span optimization, retrieval, and real-time decision support for field teams. This is a 100% hands-on role. You would be in the code and architecture all day, making decisions and shipping. We expect you to be AI-native and use modern AI development tools to move fast while making sound architectural choices.

This is a full-time hybrid role located in the Bay Area. There is no relocation package budgeted for this role.