Founding Agentic AI Product Engineer
NegotiateAI3 months ago
San Jose, CA, USASenior / Staff+
Responsibilities
- Build AI agents end to end, including multi-step workflows for taxonomy ingestion and cleanup.
- Architect modular agentic pipelines using LLMs, RAG, embeddings, and deterministic logic.
- Define intuitive product flows that unify data cleaning, benchmarking, and user decision-making.
- Collaborate with the founder and engineering team to translate customer problems into scalable product patterns.
- Design the intelligence layer and core data model, including taxonomies and semantic relationships.
- Implement LLM and RAG pipelines for synonym resolution and attribute extraction.
- Build evaluation and monitoring systems to ensure agent accuracy and compliance with data handling requirements.
- Influence the long-term product direction and evolution into a broader industrial operations AI layer.
Requirements
- 6-8 years of experience in AI engineering, ML systems, or technical product roles.
- Demonstrated ability to build agentic workflows or multi-step AI systems.
- Strong design and product judgment with ownership of major product lines.
- Experience in 0 to 1 startup environments, shipping real products quickly.
- Ability to write production-grade code in Node, Python, or TypeScript.
- Strong product instinct with the ability to design clean, scalable user flows.
- Experience integrating LLMs, RAG, embeddings, and semantic search.
- Desire to build a successful enterprise AI company and take ownership.