Lead AI Product Engineer - AI Agents & Emerging Products

Sourced from feeny.ai

System1 is seeking a Lead AI Product Engineer to design, build, and operate AI agent-powered consumer products from prototype through production. The role focuses on multi-agent orchestration, agentic coding workflows, and production reliability at scale. You will own core architecture, performance, and observability while collaborating with Product and Design to ship real agent workflows.

• Build and operate multi-agent systems that plan, coordinate, and execute tasks across tools and services
• Implement agentic coding workflows with guardrails for code generation, testing, and PR creation
• Design agent orchestration layers (planners, supervisors, evaluators) for task decomposition and retries
• Instrument and monitor agent behavior across success, failure, latency, cost, and human overrides
• Collaborate with Product and Design to translate user problems into shippable agent workflows

• Strong experience building LLM-powered systems in production (prompt engineering, structured outputs, tool/function calling)
• Solid backend engineering skills in Python and/or Node.js with APIs, async services, and background workers
• Experience designing multi-step agent execution loops with state management, idempotency, and failure recovery
• Comfort with distributed systems primitives (queues, pub/sub, durable state, rate limiting, concurrency)
• Experience deploying on cloud infrastructure (AWS or GCP) with Docker and CI/CD pipelines
• Experience implementing agent evaluation pipelines and observability

• Familiarity with inter-agent communication patterns and shared memory/blackboard systems
• Experience with RAG architectures, vector databases, and persistent memory strategies
• Understanding of cost-aware execution (dynamic model routing, caching, batching)
• Exposure to emerging agent protocols such as x402 payment flows and MCP