Customer Engineer, Agent Builder

📍 San Francisco, CA or New York, NY
🕒 Full-Time | 5 Days On-Site

About the Role

We are seeking a highly technical, customer-facing builder to lead end-to-end delivery of AI agents for strategic enterprise customers.

As a Customer Engineer, Agent Builder, you will own the full lifecycle of agent implementation — from discovery and scoping to launch, optimization, and scale. You will translate complex business requirements into production-grade AI agents that drive measurable impact.

This role sits at the intersection of engineering, product, and customer success. You will work closely with Agent PMs, Engineering, Agent Success, and GTM teams to create tight feedback loops that continuously improve both customer outcomes and our agent-building platform.

This is an ideal opportunity for someone who thrives in fast-paced environments, enjoys shipping real customer-facing solutions, and can combine hands-on execution with structured thinking.

What You’ll Do

• Own end-to-end execution of enterprise AI agent builds — from initial scoping through launch and post-launch iteration.

• Design, configure, and optimize agent behavior to drive quality, reliability, and business impact.

• Develop and maintain core agent-building artifacts (e.g., AOPs, workflows, evaluation frameworks).

• Implement and validate guardrails to ensure safe, compliant, and predictable agent performance.

• Build, test, and deploy enterprise integrations (e.g., ticketing systems, CRMs, internal tools).

• Partner with senior technical stakeholders to define success metrics, gather requirements, and deliver against timelines.

• Translate customer feedback into clear internal documentation and actionable platform improvements.

• Collaborate cross-functionally with Product, Engineering, Design, and GTM to deliver scalable, repeatable deployment processes.

What You Bring

• 5+ years of experience in a technical, customer-facing role such as Solutions Engineering, Forward-Deployed Engineering, Technical Consulting, Implementation Engineering, or Technical Product.

• Strong engineering foundation — comfortable writing code, working with APIs, and building integrations end-to-end.

• Proven experience delivering production-grade solutions requiring structured testing, validation, and iteration.

• Ability to communicate effectively with senior technical stakeholders and translate business needs into executable implementation plans.

• Comfortable operating in fast-moving, ambiguous environments where you both define and execute solutions.

Nice to Have

• Experience working with LLMs or AI agents (prompt engineering, evaluations, guardrails, workflow orchestration).

• Background integrating enterprise SaaS systems (e.g., ticketing platforms, CRMs, data pipelines) with awareness of security and compliance considerations.

• Degree in Computer Science, Engineering, Mathematics, or equivalent technical experience.

• Strong product instincts — able to write clear PRDs, define success metrics, and contribute customer insight to roadmap strategy.