What does a Forward Deployed Engineer do at David Joseph & Company?

Forward Deployed Engineers at David Joseph & Company are embedded directly with enterprise customers to implement and customize the platform, build integrations, and solve technical problems in real-world client environments. They combine software engineering skills with direct customer interaction, writing production code while also serving as the primary technical point of contact.

What skills are required for this Customer Engineer, Agent Builder role?

The Customer Engineer, Agent Builder role at David Joseph & Company typically requires strong software engineering skills (Python, TypeScript, SQL), experience with APIs and system integration, comfort with cloud platforms, and the ability to communicate complex technical topics to non-technical stakeholders. Most FDE roles require 3-7 years of engineering experience.

Is this Forward Deployed Engineer position at David Joseph & Company remote?

Remote availability varies by David Joseph & Company FDE role. Some positions are fully remote, others require travel to customer sites, and some are hybrid. Check the full job description above for the specific location requirements for this posting.

David Joseph & Company

Customer Engineer, Agent Builder

$175K - $230K San Francisco, CA, US Mid Posted July 16, 2026

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Role Description

San Francisco, CA (also NY / Toronto / London) · On-site (5 days) · Full-time

Compensation: $175,000–$230,000 + competitive equity

About the Company

A category-leading conversational AI platform that helps major enterprises deploy AI agents across voice, chat, email, SMS, and every other customer channel. Series D+ with strong enterprise traction and marquee customers across consumer and financial services. In-office culture built around speed, ownership, and craft.

Founded 2023 · 201–500 people · Industry: Conversational AI / Consumer Tech

The Role

Own end-to-end execution of AI agent builds for enterprise customers, from initial scoping through launch and iteration. This is a highly technical delivery role: you'll 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.

What you'll be doing

End-to-end execution of AI agent builds for enterprise customers, from scoping through launch and iteration
Write and maintain key agent-building artifacts and configure agent behavior for quality, reliability, and business outcomes
Configure and validate guardrails for safe, compliant, predictable agent performance
Set up, test, and validate customer integrations (ticketing systems and comparable), building any tools or workflows needed
Interface directly with senior technical stakeholders at customers to define success criteria and drive delivery against timelines
Partner closely with Agent PMs, Engineering, Design, and GTM teams to deliver consistent, repeatable agent builds

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

Requirements

3-5 years technical customer-facing (5-7 for Toronto)
Strong Python proficiency (hard requirement)
API integration experience end to end
SF / NY / Toronto / London, 5 days in-office

Green Flags

Software engineering background with a genuine, demonstrated pull toward customer-facing work
Started in software engineering or forward-deployed engineering, then pivoted toward customer-facing technical delivery
Strong quantitative or Computer Science degree from a well-regarded program
Comfortable owning both the technical build and the customer relationship without needing the two responsibilities split apart
Post-sales orientation and interest, since this role sits exclusively on the post-sales side

Red Flags

Background as an IT manager or in IT operations without transferable hands-on technical build experience
Interested only in pre-sales work; this role's lane is exclusively post-sales
Career built entirely in a single large enterprise without independent technical delivery signal

Why Join

Category leader in conversational AI with strong enterprise traction across consumer and financial services
Top-tier venture backing and a Series D+ balance sheet
Own the full lifecycle of enterprise AI agent builds — technical build and customer relationship together, not split into two half-roles

Details

Location: San Francisco, CA (also NY / Toronto / London)
Work policy: On-site, 5 days in-office
Compensation: $175,000–$230,000 + equity
Visa sponsorship: H-1B
Employment type: Full-time

About Forward Deployed Engineering

Forward Deployed Engineers are embedded directly with customers to build custom solutions, integrate products into existing infrastructure, and bridge the gap between product engineering and customer success. The role combines deep technical skills with the ability to operate in client environments and translate business requirements into working software.

Originally pioneered by Palantir, the FDE model has spread across AI, enterprise SaaS, and cloud infrastructure companies. FDEs write production code, architect integrations, train customer teams, and feed product insights back to the core engineering organization. At companies like OpenAI, Salesforce, and Databricks, FDE teams are treated as elite engineering units that can ship custom solutions in days rather than quarters.

Typical FDE stack: Python, TypeScript, SQL, REST/GraphQL APIs, cloud platforms (AWS/GCP/Azure), and increasingly LLM APIs and AI orchestration frameworks. Strong communication and the ability to context-switch between technical and business conversations are as important as coding ability.