Founding Engineer
Embedding VC
full-time
Posted on:
Location Type: Hybrid
Location: San Francisco • California • United States
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About the role
- Design and implement agentic AI systems that reason about large sets of unstructured data
- Ship full-stack features with direct user feedback
- Contribute to the product experience so agents aren’t just smart, but usable and trusted by engineers
- Build systems to automatically evaluate LLM outputs and improve agentic reasoning through self-play and feedback loops
- Construct ML pipelines, including data ingestion, feature generation, embedding stores, RAG pipelines, vector search infra, and graph databases
- Explore and prototype with open-source and frontier LLMs to evaluate tradeoffs
- Build scalable infra to support long-running multi-step agents, including memory, state management, and async workflows
- Participate in everything from company strategy to customer calls to office snacks
Requirements
- Has a valid US Visa or work permit
- Work in SF in person 3 days a week
- 5+ years of experience
- Expertise in React and Python
- Thrives in ambiguity
- Is product minded & customer first thinking
- Interested in working with LLMs, MCPs, Cloud Infrastructures, and Observability tools
- Worked at a startup before and survived
Benefits
- Medical, Dental, Vision insurance, commuter, FSA/HSA
- 401(k)
- Lunch & Dinner in the office
- Snacks and drinks
- Latest macbook + iPad Air
- Cursor, Claude Code, Windsurf, and near unlimited budget to test out new software and models
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
PythonReactML pipelinesdata ingestionfeature generationembedding storesRAG pipelinesvector searchgraph databasesagentic AI systems
Soft Skills
product mindedcustomer first thinkingthrives in ambiguity