Customer Engineer, Agent Builder

David Joseph & Company; New York (NY); On-site; USD 175,000 - 230,000; Full time

Benefits offered by this job

Competitive equity

Job summary

David Joseph & Company seeks a post-sales, forward-deployed engineer to own end-to-end AI agent builds for enterprise customers in New York City. The role blends hands-on technical work with customer delivery on a newly formed Agent Builder team.

You will design agent logic, build integrations with CRM/ticketing systems, and work with senior stakeholders to define success criteria, in a fast-moving, in-office environment.

Qualifications

• 3+ years in a technical, customer-facing role.
• Strong Python proficiency and API integrations.
• Post-sales focus, hands-on delivery.
• Excellent communication with senior stakeholders.
• Able to work in fast-moving, ambiguous environments; in-office 5 days/week.

Responsibilities

• Own end-to-end AI agent builds for enterprise customers.
• Design core agent logic and guardrails for safe performance.
• Architect and test integrations with customer systems.
• Interface with senior stakeholders to define success criteria.
• Diagnose issues and build regression testing frameworks.

Skills

Python proficiency

Customer-facing experience

Strong communication

Education

CS/Engineering/Math degree or equivalent

Tools

REST APIs

Job description

New York City, NY · On-site · Full-time
Compensation: $175,000–$230,000 + competitive equity

About the Company

A leading conversational AI platform whose technology lets enterprises deploy AI agents across voice, chat, email, and SMS — replacing support tickets and hold music with faster resolutions and richer conversations. Well-funded and deployed at recognizable consumer and enterprise brands, the company is in‑office and built around velocity and technical excellence.

Founded 2023 · 201–500 people · Industry: Conversational AI · Customer Support · Enterprise SaaS

The Role

A post‑sales, forward‑deployed engineer who owns end‑to‑end execution of AI agent builds for strategic enterprise customers — roughly a 50/50 split of hands‑on technical build work and customer‑facing delivery, on a newly formed Agent Builder team. Ideal for a software or forward‑deployed engineer who wants to pivot into customer‑facing delivery and thrives in fast‑moving, ambiguous environments.

What you'll be doing

• Own end‑to‑end architecture and execution of AI agent builds for enterprise customers, from systems design and scoping through implementation, evaluation, and production deployment
• Design and engineer the core agentic logic governing agent behavior, plus layered guardrails and supervisory controls for safe, compliant, predictable performance across non‑deterministic outputs
• Architect, build, and test integrations with customer systems (data pipelines, CRMs, ticketing systems), including the tools, APIs, and workflows needed for reliable deployment at scale
• Interface with senior technical stakeholders at customers to define success criteria and system requirements, and drive technical delivery against timelines
• Diagnose, debug, and resolve probabilistic and technical failures through root‑cause analysis, and design evaluation and regression‑testing frameworks that guard against performance drift

Tech stack: Python (primary; assessed via a live Python round and case study), REST APIs, LLM / agentic tooling, enterprise integrations (CRMs, ticketing systems, data pipelines)

Requirements

• 3+ years in a technical, customer‑facing role (solutions engineering, forward‑deployed engineering, technical consulting, implementation engineering, or technical product)
• Strong Python proficiency — comfortable writing code, working with APIs, and building and validating integrations end‑to‑end (assessed via a live Python round and case study)
• Genuine post‑sales interest — wants to go deep on hands‑on technical delivery and customer engagement, not pivot toward pre‑sales
• Exceptional communication skills and executive‑ready presence, credible with senior technical stakeholders
• Comfort working in fast‑moving, ambiguous environments, shaping solutions as much as implementing them, and available in‑office 5 days per week

Green Flags

• Experience building with or around LLMs and AI agents (prompting, evaluation, guardrails, tooling, workflow design)
• Experience with enterprise SaaS integrations (ticketing systems, CRM, data pipelines) and associated security and compliance considerations
• A Computer Science, Engineering, or Math degree, or equivalent technical background (CS strongly preferred; other quantitative degrees such as Data Science or Data Engineering acceptable)
• Strong product instinct: crisp PRDs, clear success metrics, and customer insight fed back into the product roadmap

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

Why Join

• Ground‑floor role on a newly formed Agent Builder team — you help shape how the company's agents are built, validated, and delivered
• Genuine technical depth: roughly 50/50 hands‑on build and customer‑facing delivery, owning agents end‑to‑end from design through production
• Strong comp and benefits: competitive equity, take‑what‑you‑need vacation, full medical/dental/vision for you and family, life + disability, retirement plan, parental leave, fertility/family‑building benefits, and daily in‑office lunches

Details

• Location — New York City, NY
• Work policy — In‑office 5 days per week
• Compensation — $175,000–$230,000 + competitive equity
• Visa sponsorship — H-1B
• Employment type — Full‑time