Lead Engineer, Applied AI (Customer Agent)

What you'll do

• Set direction for a core product area, from architecture through production, and contribute to platform direction.
• Build, evaluate, and improve agent orchestration, guardrails, memory and context, and failure handling; ship code and debug production issues.
• Establish reusable engineering patterns, mentor through design reviews, and partner with product, design, data science, and go-to-market teams.

What they ask for

• Built, scaled, and supported production agentic systems through launch and ongoing operations, including orchestration, evaluations, guardrails, and non-deterministic failure handling.
• Experience securing production agents against misuse and abuse and maintaining reliability as usage grows.
• Owned technical and product direction for a significant area, with a shipped design adopted by other engineers.
• Hands-on engineering experience, including coding, architecture reviews, and debugging production issues; able to communicate trade-offs and turn ambiguous problems into plans.

Nice to have

• Experience with a production-scale multi-tenant agent platform or building 0-to-1 products / working in startups.
• Track record with production evaluation systems, AI observability, or human-in-the-loop workflows for LLM-powered products.

Pay

$176,000 — $264,000 USD (base salary)

Tools

AI, LLM

AI focus

Build and operate a conversational AI customer-support agent, including orchestration, evaluation, guardrails, memory and context, reliability, and production deployment.