Lead AI Product Engineer - AI Agents & Emerging Products na System1
System1 · Los Angeles, Estados Unidos Da América · On-site
- Escritório em Los Angeles
What You’ll Do:
- Build and operate multi-agent systems that plan, coordinate, and execute tasks across multiple tools and services, to solve real user problems at scale.
- 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, with exposure to agent-to-tool payment flows as the ecosystem evolves.
- Collaborate with Product & Design to translate user problems into shippable agent workflows, iterating quickly based on real-world feedback.
What You’ll Bring:
- Strong experience building LLM-powered systems in production, including prompt engineering, structured outputs, tool/function calling, and agentic coding workflows where agents write, modify, and validate code within guardrails.
- Solid backend engineering skills with Python and/or Node.js, designing APIs, async services, and background workers that support long-running, stateful agent workflows.
- Experience designing multi-step, agent-driven execution loops (plan → act → evaluate → retry), with explicit state management, idempotency, and failure recovery.
- Comfort with distributed systems primitives (queues, pub/sub, durable state, rate limiting, concurrency controls) required to coordinate agents at scale.
- Proven ability to instrument and observe agent behavior, emitting structured events for task success, failures, retries, overrides, and code-generation outcomes.
- Experience deploying and operating systems on cloud infrastructure (AWS or GCP), using Docker and CI/CD pipelines.
- Familiarity with inter-agent communication patterns, including message schemas, shared memory, blackboard systems, or event-driven coordination.
- Experience implementing agent evaluation pipelines (prompt regression tests, simulation-based evals, automated scoring, human-in-the-loop review).
- Understanding of cost-aware execution for agents (dynamic model routing, caching, batching, budget constraints).
- Experience with RAG architectures, vector databases, and persistent memory strategies.
- Exposure to emerging agent protocols (e.g., x402 payment flows, MCP), with the ability to implement evolving specs pragmatically.
Who You Are:
- You operate with high urgency, agency, and a bias for action, translating ideas into working systems quickly, learning from real-world signals, and iterating continuously.
- You pair speed with rigor, bringing strong engineering fundamentals (systems thinking, evaluation discipline, reliability) so each iteration is meaningfully better, not just different.
- You embrace a “long is wrong” mindset, simplifying, automating, and removing bottlenecks to consistently reduce cycle time.
- You think and act like an owner, making sound tradeoffs and taking end-to-end accountability for performance, reliability, cost, and user experience.
- You optimize for technological leverage, building reusable primitives, tooling, and patterns that compound team output over time.
- You are growth-minded, working backward from LTV/CAC and prioritizing engineering work that moves activation, retention, conversion, and cost per successful outcome.
- You excel at constraint removal, unblocking execution and increasing innovation per unit time, including through agentic tool use with clear guardrails and observability.
What We Have To Offer:
- Competitive salary + bonus + equity
- Generous PTO + 11 company holidays
- Open sick time
- 100% covered Medical, Dental, Vision for employees
- 401k with match
- Health & Dependent Care Flex Spending Account
- Paid professional development
- Leadership & growth opportunities
- Virtual company and team building events