AI Fund Logo

AI Fund

Founding Engineer/Senior Software Engineer (Ayama)

Reposted One Month Ago
Remote or Hybrid
7 Locations
Senior level
Remote or Hybrid
7 Locations
Senior level
As a Senior Software Engineer at Ayama, you will build and improve AI-based systems, design data pipelines, and develop full-stack product features. This role requires strong architectural judgment and hands-on experience with optimization problems and large-scale data processing.
The summary above was generated by AI

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.

Responsibilities for the Role Include:

  • 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

Requirements For the Role Include:

  • 5+ years of hands-on software engineering experience
  • Full-stack depth in Python (Django/FastAPI) and modern React/TypeScript
  • Strong architectural judgment
  • Comfort with large-scale data processing and cloud infrastructure (GCP 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)
  • B2B SaaS

Why Join Ayama:

    • 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.

HQ

AI Fund Palo Alto, California, USA Office

Palo Alto, CA, United States, 94303

Similar Jobs

3 Hours Ago
Easy Apply
Remote
United States
Easy Apply
139K-235K Annually
Senior level
139K-235K Annually
Senior level
Cloud • Security • Software • Cybersecurity • Automation
Build GitLab code security capabilities spanning dependency analysis, SBOM and lockfile parsing, vulnerability detection, AI-assisted analyzers, and automated dependency remediation. Design evaluation harnesses, package analyzers for CI and AI workflows, improve security report accuracy, and extend ecosystem coverage. Own initiatives from design through delivery, mentor engineers, collaborate across product and engineering teams, document systems, and participate in on-call support.
Top Skills: AIAstsBundlerCargoCi/CdCweDockerGoLlmMavenNpmOwasp Top 10PipPythonRubyRustSbom
3 Hours Ago
Easy Apply
Remote
United States
Easy Apply
153K-259K Annually
Expert/Leader
153K-259K Annually
Expert/Leader
Cloud • Security • Software • Cybersecurity • Automation
Leads the architecture and delivery of GitLab’s static analysis engine and evaluation tooling. Owns program modeling, vulnerability detection quality, SAST rules, AI-assisted development guardrails, and benchmark validation. Sets technical direction, mentors engineers, coordinates complex initiatives, contributes to research and open source, and participates in on-call rotations. The role requires deep program analysis, application security, systems programming, performance optimization, containerized CI/CD, and experience building trustworthy LLM tooling.
Top Skills: Ai AgentsAstsCall GraphsCi/CdControl-Flow GraphsCweData-Flow AnalysisDockerFuzzingGoIntermediate RepresentationsLlm ToolingMutation TestingOwasp Top 10RubyRustSastSsaStatic AnalysisTaint AnalysisType Inference
4 Hours Ago
Easy Apply
Remote or Hybrid
Easy Apply
143K-185K Annually
Senior level
143K-185K Annually
Senior level
Artificial Intelligence • Cloud • Computer Vision • Hardware • Internet of Things • Software
Lead engineering for AI voice-agent experiences used by drivers. Define product and technical direction, build full-stack services, design agent coordination and memory systems, establish APIs and service boundaries, and evaluate AI behavior in production. Mentor engineers, document architectural tradeoffs, and introduce AI-assisted engineering practices using tools such as Codex, Claude Code, and Cursor.
Top Skills: Ai AgentsClaude CodeCodexCursorGoLlmsPythonRag PipelinesTypescriptVector Databases

What you need to know about the San Francisco Tech Scene

San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.

Key Facts About San Francisco Tech

  • Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Google, Apple, Salesforce, Meta
  • Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
  • Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
  • Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account