Avatar for System1
System1
Actively Hiring
Data Science Company doing innovative, groundbreaking work in the Adtech sphere
  • B2B
  • Public Stage
    Publicly traded company
  • 4.4
    Work / Life Balance
    Employees rate System1 4.4/5 on Glassdoor for work / life balance

Lead AI Product Engineer - AI Agents & Emerging Products

Posted: 7 months ago
Job Location
Remote Work Policy

In office

Visa Sponsorship

Not Available

RelocationAllowed
Skills
Python
Node.js
Distributed Systems
Caching
Docker
Queues
MCP
AWS
Cloud Infrastructure
shared memory
GCP
State Management
APIs
Failure Recovery
Pub/Sub
CI/CD Pipelines
Rate Limiting
Prompt Engineering
Vector Databases
Structured Outputs
Idempotency
RAG Architectures
Batching
Tool/function Calling
Background Workers
Inter-Agent Communication
LLM-Powered Systems
ASync Services
Agentic Coding Workflows
Multi-Step Execution Loops
Durable State
Concurrency Controls
Message Schemas
Blackboard Systems
Event-Driven Coordination
Agent Evaluation Pipelines
Prompt Regression Tests
Simulation-Based Evals
Automated Scoring
Human-in-the-Loop Review
Cost-Aware Execution
Dynamic Model Routing
Budget Constraints
Persistent Memory Strategies
Emerging Agent Protocols
X402 Payment Flows

About the job

System1 is building the next generation of AI Agent–powered consumer products, and we’re looking for a Lead AI Product Engineer to help lead the effort. You’ll design, build, and operate our most ambitious AI agent systems from early prototypes through production, owning core architecture, reliability, and performance as these products scale.

This is a high-impact, hands-on engineering role for a builder who can move quickly from concept to working systems, shipping, iterating, and hardening real agent workflows that deliver consumer value at scale.

This role sits at the intersection of multi-agent orchestration, agentic coding, and production engineering, offering the opportunity to work on cutting-edge AI while directly influencing real-world product outcomes and business performance.

You do not need prior experience with every protocol or framework listed below—we value strong systems thinking, production experience, and the ability to learn fast in emerging domains.

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

System1’s headquarters is located in Marina del Rey, CA with an additional office in Bellevue, WA.

Employees near office locations are returning to the office.

Equal Employment Opportunity:

System1 provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.

About the company

System1 company logo

System1

Actively Hiring
Data Science Company doing innovative, groundbreaking work in the Adtech sphere201-500 Employees
  • B2B
  • Public Stage
    Publicly traded company
  • 4.4
    Work / Life Balance
    Employees rate System1 4.4/5 on Glassdoor for work / life balance
Learn more about System1 image

Funding

AMOUNT RAISED
$270M
FUNDED OVER
1 round
Round
U
$270000000
Unknown - Sep 2017

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