Artificial Intelligence Engineer

The ReWork Group is recruiting for an unnamed client building customer-facing and internal AI agents embedded in payments software. The engineer will develop production agent harnesses, enforce policies and security, build integrations, and lead projects, including internal agents for Risk.

Responsibilities:

• The agent harness. Build and evolve the harness behind our customer-facing and internal agentic products, taking them from working prototype to production system serving many customers
• Domain expertise as agent capability. Translate deep payments knowledge (disputes, chargebacks, refunds, payouts, merchant onboarding, KYB/KYC) into skills, knowledge bases, and runbooks agents can rely on in specific situations
• Policy enforcement before execution. Enforce rules at the harness level so every action an agent attempts is checked against clear, auditable policy before it runs. Think idempotency, permission scopes, spend limits, and human-in-the-loop checkpoints where money moves
• MCP connectors. Build agentic connectors with MCP, including authentication and permissioning for agents acting on behalf of merchants and platform users
• Security and data governance. Manage data retention, isolation, and security using AWS Bedrock AgentCore, in an environment shaped by PCI DSS, SOC 2, and the expectations of our banking partners
• Scale before it hurts. Anticipate the failure modes that only appear at volume: drift, cost blowups, cascading tool errors, latency under load, and the long tail of weird merchant data
• Internal agents. Build agents for teams across the company, starting with Risk, where faster, well-reasoned decisions on fraud and underwriting have direct P&L impact
• Project leadership. Scope and lead projects within the squad and partner closely with an incoming product manager to define what we build and why