Customer Engineer, Agent Builder

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