Founding AI Engineer
San Francisco, CA$150k - $250k + equityFull-timePosted 6mo ago
About the role
Founding ML engineer role at Hyperspell, a YC-backed startup building memory and context layers for AI agents. High-autonomy, end-to-end ownership from research to production, with direct collaboration with founders.
Responsibilities
- Within 30 days, own the core agentic query loop — providing AI agents the right context at the right time.
- Within 60 days, work on memory network evolution, procedural memory, and memory for multi-user agents.
- Within 90 days, productionize memory features, present at conferences, and tackle future AI agent challenges.
- Tackle contextual knowledge extraction, smarter retrieval, evolving memory, query understanding, and multi-modal data pipelines.
- Collaborate directly with founders; influence product direction and company strategy.
Qualifications
- 3-5 years of experience in applied machine learning, AI engineering, or Natural Language Processing
- Fluency in Python
- Clarity of thought, excellent communication
- Ability to work on location in San Francisco
Skills
Required:PythonDistributed SystemsMachine LearningNatural Language Processing
Nice to have:Prompt Engineering
Benefits
- Health, dental, and vision coverage and generous health benefits
- $10,000 to build your dream work setup
Last updated Aug 26, 2026. Interested? Apply on the company site.
About Hyperspell
Memory for AI Agents.
Hyperspell (YC F25) gives AI agents memory. It connects to tools like Slack, Gmail, Notion, and Drive so agents can recall, reason, and remember across company knowledge. Developers use Hyperspell’s API to turn disconnected agents into AI coworkers that understand their work. Conor and Manu founded Hyperspell after building their own workplace agent and seeing how limited AI is without memory. They have over 15 years of experience in machine learning and have scaled API-based products to $30M ARR.
artificial-intelligencedeveloper-toolsmachine-learningb2binfrastructure
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