• semantic video search using multimodal embeddings
• multi-agent systems integrating LLMs with internal data, docs, and APIs
Experience helping teams move LLM / agent workflows (incl. LangGraph/Chain) from prototype >> production.
Previously founded and exited a SaaS company serving Fortune 500 brands (pricing intelligence & channel compliance), built and led distributed team of 100+.
jborden13 · · focus · HN ↗
Remote: Yes
Willing to relocate: No
AI Product Engineering: full-stack AI systems, LangGraph/Chain, RAG
Technical: TypeScript, Node.js, Python, React/Vue, PostgreSQL, vector DBs, NoSQL, AWS, GCP
Recent work includes:
• multilingual AI product (26 languages) for search automation
• AI-assisted incident intelligence platform for enterprise security teams
• multi-tenant account management platform (Life Alert providers)
• semantic video search using multimodal embeddings
• multi-agent systems integrating LLMs with internal data, docs, and APIs
Experience helping teams move LLM / agent workflows (incl. LangGraph/Chain) from prototype >> production.
Previously founded and exited a SaaS company serving Fortune 500 brands (pricing intelligence & channel compliance), built and led distributed team of 100+.
LinkedIn: <a href="https://www.linkedin.com/in/jeff-borden/" rel="nofollow">https://www.linkedin.com/in/jeff-borden/
Email: jborden13 [@t] gmail [dot] com
* Open to full-time, fractional, or advisory roles.