Founding Engineer (AI-Powered Distributor) - San Francisco

inventure • United State

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AI Summary

Join a Kleiner Perkins-backed startup building an AI-driven distributor to automate wholesale inventory transactions. As a founding engineer, you’ll architect core systems, develop AI agents, and own end-to-end problem domains from conception to customer-facing delivery. Requires strong CS fundamentals, hands-on coding, and a passion for seed-stage ownership.

Key Highlights

Founding role in a $20M-backed AI-native wholesale distributor startup

Own entire problem domains (e.g., purchase-order lifecycle, agentic search) with full ownership from day one

Build durable-execution platforms using Python, TypeScript, Postgres, and LLMs for real-world transactions

Key Responsibilities

Design and implement core AI-driven systems for wholesale inventory transactions using LLMs and agentic architectures

Own end-to-end problem domains (e.g., purchase-order lifecycle, entity resolution, agentic search) from ideation to customer delivery

Develop backend systems and product features in Python, TypeScript, and Postgres with direct customer interaction

Set engineering standards and culture as one of the first hires on a fast-growing team

Collaborate with buyers and suppliers to translate real-world needs into shipped product features

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Technical Skills Required

Python TypeScript PostgreSQL

Benefits & Perks

$150K–$250K base salary + founding equity

Relocation support

Visa sponsorship (H-1B, TN)

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Nice to Have

Experience at AI-native startups (e.g., OpenAI, Anthropic, Cursor)

Background in supply-chain or wholesale distribution systems

Prior founding engineer or founder role at a high-growth startup

Job Description

Founding Engineer | Kleiner Perkins-backed startup building an AI that buys and sells inventory | San Francisco (on-site, 5 days) | $150K–$250K base + founding equity

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