Customer Engineer

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 #J-18808-Ljbffr