Design and architect the foundational infrastructure for NegotiateAI’s procurement platform, enabling seamless integration with ERP systems, supplier databases, and spend analytics tools.
Identify key technical requirements to optimize workflows for indirect spend categorization with RAG+LLMs, unique part identification extraction, agentic AI-driven benchmarking strategies, and agentic AI negotiation automation.
Define fundamental platform capabilities that streamline procurement processes, including real-time spend visibility, supplier benchmarking, and automated decision-making.
Implement LLM, RAG, and Agentic AI pipelines to process and analyze large-scale procurement data, generate actionable insights, and power intelligent spend recommendations.
Apply data privacy principles and implement best practices for security, including data anonymization, key obfuscation, tokenization, training models within secure sandboxes, adhering to GDPR standards, and ensuring SOC II compliance.
Train LLMs and implement agentic AI tailored to procurement, creating intelligent agents that find online benchmarks, clean and triangulate dirty data to find critical part information, find contact information from suppliers online, communicate with suppliers, reduce costs, and drive measurable value for enterprises.

Requirements

5+ years experience in full-stack engineering, with senior-level expertise
Experience building 0 → 1 in a startup, earlier stage the better (pre-seed, seed, series A)
Strong track record of iterating quickly on product and growing a customer base
Experience working with modern AI/ML technologies, including Agentic AI, LLMs, RAG and prompt engineering
**Tech Stack**: Next.js (TypeScript), Supabase (PostgreSQL), Node.js, Langsmith
Ability to code and iterate quickly and scrappily, with also being able to step back and architect the stack
Data Science background or familiarity (key: working with large data sets, parsing)
Hungry to build a $B+ VC-backed AI enterprise solution

Benefits

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

full-stack engineeringAI/ML technologiesAgentic AILLMsRAGprompt engineeringdata parsingdata anonymizationtokenizationautomated decision-making

Soft Skills

iterating quicklyarchitecting solutionscommunication with suppliersproblem-solvingcustomer growth