Decagon — Customer Engineer, Agent Builder (NYC)
$175,000–$230,000 year
On-siteNew York City, New York, United States or New York, United States
Job Summary
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 core agentic logic, layered guardrails, and supervisory controls for safe, compliant performance. Architect integrations with customer systems including data pipelines, CRMs, and ticketing tools, while interfacing with senior technical stakeholders to define success criteria and drive delivery. Diagnose probabilistic failures through root-cause analysis and design evaluation frameworks to guard against performance drift. This hands-on, post-sales role sits within Decagon's newly formed Agent Builder team, backed by a16z and deployed at major clients like Cash App and Chime.
Required Qualifications
- 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
- 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
- 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
Desired Qualifications
- 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
- Strong product instinct: crisp PRDs, clear success metrics, and customer insight fed back into the product roadmap
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