Customer Engineer, Agent Builder

David Joseph & Company; San Francisco (CA); On-site; USD 175,000 - 230,000; Full time

Benefits offered by this job

Equity

Job summary

David Joseph & Company seeks a technically adept, customer-facing delivery lead to own end-to-end AI agent builds for enterprise clients.

The role emphasizes Python development, API integrations, and close collaboration with senior technical stakeholders across on-site offices in San Francisco, New York, Toronto, and London.

Qualifications

• 3–5 years in a technical customer-facing role (5–7 years for the Toronto seat).
• Strong Python proficiency (hard requirement).
• End-to-end API integration experience.
• Willingness to work on-site five days a week in San Francisco, New York, Toronto, or London.

Responsibilities

• Own end-to-end delivery of enterprise AI agent builds from scoping to launch and iteration.
• Write and configure components, validate integrations, and interface with senior technical stakeholders.
• Balance technical build with customer-facing work, roughly 50/50 or 60/40.

Skills

Python

APIs & Integrations

Technical Delivery

Customer-facing

Education

CS degree or quantitative degree

Tools

LLM tooling

Job description

San Francisco, CA (also New York / Toronto / London) · On-site · Full-time Compensation: $175,000–$230,000 + competitive equity

About the Company

Our client is a category-leading conversational-AI platform that helps major enterprises deploy AI agents across voice, chat, email, SMS, and every other customer channel. It’s a later-stage, well-funded company (Series D+) with strong enterprise traction and marquee customers across consumer and financial services, and an in-office culture built around speed, ownership, and craft.

Founded 2023 · 201–500 people (Series D+) · Industry: Conversational AI

The Role

Own end-to-end execution of AI agent builds for enterprise customers, from initial scoping through launch and iteration. A highly technical delivery role: write and configure key components, validate integrations, and interface directly with senior technical stakeholders on the customer side. The split between technical build and customer-facing work is dynamic — generally close to 50/50 or 60/40 technical-to-customer-facing — and sits exclusively on the post-sales side.

Tech stack: Python (hard requirement); APIs / integrations; LLM / agent tooling (prompting, evaluation, guardrails, workflow design).

Requirements

• 3–5 years in a technical customer-facing role (5–7 years for the Toronto seat)
• Strong Python proficiency (hard requirement)
• End-to-end API-integration experience
• On-site five days a week in San Francisco, New York, Toronto, or London

Nice to Haves

• A software-engineering background with a genuine, demonstrated pull toward customer-facing work
• Started in software or forward-deployed engineering, then pivoted toward customer-facing technical delivery
• A strong quantitative or CS degree from a well-regarded program
• Comfortable owning both the technical build and the customer relationship without splitting the two apart
• A post-sales orientation, since this seat sits exclusively on the post-sales side

Why Join

• A category leader with elite backing, live at scale with marquee enterprise customers
• Own the whole thing: end-to-end delivery of enterprise AI agent builds, not split into two half-roles
• Genuine technical depth alongside direct senior-stakeholder ownership

Details

• Location — San Francisco, CA (also New York / Toronto / London)
• Work policy — On-site, 5 days/week
• Compensation — $175,000–$230,000 + competitive equity
• Visa sponsorship — Varies by location; H-1B available for US-based hires
• Employment type — Full-time