Senior Backend Engineer, AI-Powered Procurement Platform

NegotiateAI Inc.; Menlo Park (CA); Vor Ort; USD 170.000 - 230.000; Vollzeit

Zusammenfassung

NegotiateAI Inc. is building AI-powered procurement for manufacturing and industrial customers in Menlo Park. You’ll join as one of the first engineers, owning substantial backend features end-to-end, including ERP integrations and spend analytics, while shaping the product with customer feedback.

You will work on agentic AI workflows, data privacy, and scalable infrastructure, mentoring peers and driving architectural decisions in a small team.

Qualifikationen

• 5+ years of professional software engineering with end-to-end shipping.
• Strong backend skills, API design, and data pipelines.
• Hands-on experience with LLMs in production and agentic workflows.
• Experience cleaning real-world data and establishing ground truth.
• Cloud infrastructure experience (AWS or GCP) and CI/CD practices.
• Good product sense and ability to translate customer needs into features.
• Desire to improve developer velocity with internal tooling.

Aufgaben

• Build and own core backend services, including ERP integrations and spend analytics.
• Develop agentic pipelines for categorizing spend and sourcing benchmarks.
• Ship real-time spend visibility and supplier benchmarking features and iterate on feedback.
• Create evaluation/monitoring for AI systems to catch regressions.
• Set architectural direction and mentor junior engineers.
• Apply security and data privacy practices, including anonymization and tokenization.

Kenntnisse

Backend engineering

API design

Data pipelines

LLMs in production

Security & privacy

Cloud infrastructure

Product sense

Mentoring engineers

Ambiguity management

End-to-end shipping

Tools

ClickHouse

BigQuery

Snowflake

Databricks

Jobbeschreibung

NegotiateAI Inc. is building AI-powered procurement for manufacturing and industrial customers in Menlo Park. You’ll join as one of the first engineers, owning substantial backend features end-to-end, including ERP integrations and spend analytics, while shaping the product with customer feedback.

You will work on agentic AI workflows, data privacy, and scalable infrastructure, mentoring peers and driving architectural decisions in a small team.