Forward Deployed Engineer

Role overview

Build and deploy AI agents and applications that address real customer needs, working directly with users from discovery through production handoff. You’ll connect customer systems and workflows to a shared AI platform, evaluate how solutions behave in practice, and turn successful deployments into reusable product capabilities. Hiring spans mid, senior, and staff levels, with scope reflecting experience and ownership.

Responsibilities

- Map customer workflows and agree on solution scope, success measures, and acceptance criteria. - Build production-quality agents, applications, APIs, and integrations, including backend services and user interfaces as needed. - Connect customer data sources, business systems, and identity providers; help deploy in customer or managed environments. - Lead testing, deployment, customer validation, and operational handoff, raising risks and dependencies early. - Add evaluations, automated tests, monitoring, and human review or escalation paths to agent workflows; assess quality, speed, cost, and reliability. - Troubleshoot issues across software, data, integrations, and infrastructure, and contribute reusable components and platform feedback.

Requirements

- Experience building and shipping production software, with strong coding, testing, debugging, and API design skills. - Proficiency in a modern programming language such as Python, Java, or TypeScript, plus experience with databases, backend services, and external integrations. - Working knowledge of cloud infrastructure, containers, CI/CD, and monitoring. - Practical understanding of LLM applications or AI agents, including evaluation, limitations, and safe handling of customer data and systems. - Ability to translate incomplete customer requirements into implementable work and communicate clearly with varied stakeholders. - A strong sense of ownership, curiosity about customer operations, and comfort troubleshooting deployed applications.

Nice to have

Experience in forward deployed, product, full-stack, or solutions engineering; familiarity with healthcare, government and education, financial services, or retail; or experience with agent orchestration, retrieval, LLM evaluation, enterprise identity, and complex integrations.

Benefits and work setup

Some customer travel may be required. Full-time benefits described in the source include employer-paid medical, dental, and vision coverage, paid parental leave, flexible paid time off subject to approval, professional development, and optional retirement, spending, and equity programs.