Lead AI Product Engineer - AI Agents & Emerging Products
Lead the design, build, and operation of multi-agent AI systems from prototypes to production, owning architecture, reliability, and performance for consumer AI products. Requires strong production experience with LLM-powered systems, agentic workflows, and backend engineering.
Salary not listed
On-siteML Engineering
About the role
Responsibilities
Build and operate multi-agent systems that plan, coordinate, and execute tasks across multiple tools and services
Implement agentic coding workflows where agents generate code, run tests, create diffs or PRs, and iterate autonomously within guardrails
Design agent orchestration layers (planners, supervisors, evaluators) to manage task decomposition, retries, and long-running execution
Instrument and monitor agent behavior across success, failure, latency, cost, and human overrides
Collaborate with Product & Design to translate user problems into shippable agent workflows
Requirements
Strong experience building LLM-powered systems in production, including prompt engineering, structured outputs, tool/function calling, and agentic coding workflows
Solid backend engineering skills with Python and/or Node.js, designing APIs, async services, and background workers
Experience designing multi-step, agent-driven execution loops with explicit state management, idempotency, and failure recovery
Comfort with distributed systems primitives (queues, pub/sub, durable state, rate limiting, concurrency controls)
Proven ability to instrument and observe agent behavior with structured events
Experience deploying and operating systems on cloud infrastructure (AWS or GCP), using Docker and CI/CD pipelines
Familiarity with inter-agent communication patterns (message schemas, shared memory, blackboard systems, or event-driven coordination)
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