AI Platform Engineer

Polygon Labs is hiring an AI Platform Engineer to build and operate the platform powering its agents. The role develops production agent workflows, MCP servers, security guardrails, evaluation and observability systems, and AI spend tracking while helping teams automate company-wide processes.

Responsibilities:

• Move agentic workflows into production, taking prototypes to robust systems for real users and owners, with SLAs (e.g. spec-to-PR agents, AI code review, incident triage, KYB review)
• Build and manage MCP servers, including system design, hosting, security, authentication (e.g. per-user OAuth), and keeping a clean connector inventory for Slack, GitHub, Jira, HubSpot, and internal services
• Develop autonomous agents that act and plan across tools through trust stages: shadow, suggest, execute, and autonomous
• Embed guardrails into the platform, providing each agent its own identity, scoped credentials, audit logs, CI checks, approval gates, allowlists, and least-privilege access
• Build evaluation frameworks (test sets, regression suites, live scoring in production) so every agent releases with quality metrics tied to business outcomes
• Instrument agents for observability: tracing, logging, latency, cost, drift detection, and daily dashboards for Operators
• Track AI spend across providers (Anthropic, OpenAI, OpenRouter), setting budgets, alerts, and spend attribution to teams, agents, and workflows
• Support Operators by developing features from their requests, writing documentation, running enablement sessions, and building self-service tools
• Create skills and plugins centralizing company knowledge (processes, standards, security, brand), versioning and reviewing these to ensure consistent, repeatable agent output
• Proactively find and automate manual, repetitive processes across the company, measuring outcomes and iterating rapidly