Member of Technical Staff

present of AI; San Francisco (CA); Sur place; USD 180 000 - 240 000; Plein temps

Résumé du poste

present of AI is seeking a founding engineer to build software that converts a customer quote request into a priced quote and an fulfilled order with minimal manual steps.

You will design agent workflows, conduct vendor outreach by email and phone, and maintain a clean parts and pricing database with guardrails to prevent costly mistakes. The ideal candidate has shipped production systems and real experience with LLM agents and evals.

Qualifications

• A strong candidate has shipped full production systems.
• Real experience with LLM agents and evals.
• Stays steady when something breaks and can handle edge cases.

Responsabilités

• Turn customer requests into priced quotes and fulfilled orders with minimal manual work.
• Design agent workflows and orchestration across orders.
• Perform vendor outreach by email and phone; maintain supplier relationships.
• Keep a clean parts and pricing database and implement checks to avoid costly mistakes.

Connaissances

Shipped production systems

LLM agents experience

Evals and guardrails

Description du poste

The role is a founding engineer who builds the software that turns a customer request for a quote into a priced, sent quote and then a fulfilled order, with as little manual work as possible. That means agent workflows, vendor outreach by email and phone, a clean parts and pricing database, and checks that stop costly mistakes like a wrong part number. A strong candidate has shipped full production systems, has real experience with LLM agents and evals, and stays steady when something breaks. Industrial experience is not required.

How it fits the AI era

AI does the heavy lifting here: reading requests, finding parts, chasing vendors and drafting quotes at a speed people cannot match. The engineer's job shifts toward designing the agents, setting guardrails and measuring results each week. Humans stay important for judging edge cases, handling relationships with vendors and customers, and deciding when an agent should hand off to a person.

How it builds AI experience

This is a hands-on chance to build agents that work in the real world, including tool use, orchestration across many orders at once, and evals that catch errors before they ship. The company line also mentions sales agents for distributors, so the work touches quote generation and customer messages, where accuracy matters a lot. Someone preparing could build a small agent that parses a messy request, looks up parts, and tests its own output against a set of known answers.

Worth showing

• End to end production shipping
• LLM agent orchestration
• Evals and guardrails
• Messy data cleanup
• Latency and reliability tuning

This is our own read, written from the employer's posting and the company's Spotlight. The employer's posting is the source of truth for the role.

About Soff

Autonomous sales agents for industrial distributors automating quote generation and customer communications