Forward Deployed Engineer, AI

Role overview Build and deploy AI agents that handle real operational workflows for large, complex customer organizations. You’ll move between customer discovery and hands-on engineering: configuring agent behavior where possible, writing production code where needed, and improving deployments from initial design through ongoing use.

Responsibilities - Extend AI agent platforms with production features that improve workflow execution, integrations, reliability, and performance. - Work with customer teams to understand operations and turn business processes into agent workflows, tools, and human handoffs. - Own technical deployments from discovery and configuration through rollout and optimization. - Investigate production behavior using transcripts, traces, tool calls, and customer data; address failure modes and measure improvements. - Build integrations with customer systems, APIs, and third-party services, working across the stack as needed. - Identify recurring customer needs and turn them into reusable product capabilities with engineering and product partners. - Lead technical working sessions and explain tradeoffs to executives, operators, and technical teams.

Requirements - At least three years of experience building, shipping, and maintaining production software. - Strong programming fundamentals, with experience in backend systems, APIs, databases, and integrations. - Practical experience with LLM APIs, AI agents, tool calling, or AI-powered applications. - Ability to make AI workflows more reliable through prompt work, evaluations, and engineering changes. - Product-minded problem solving: translate unclear needs into practical solutions that can extend beyond one deployment. - Confidence leading customer discovery, communicating technical concepts, and taking projects through completion.

Nice to have - Experience with voice AI, real-time systems, agent frameworks, or enterprise integrations. - Background in moving, logistics, or field services.