Software Engineer, AI Agents

Job Description

At Cloudflare, we're building industrial-scale AI agents that support customers directly. Your code will power real customer interactions from day one, at global scale. You'll assemble Workers, Durable Objects, KV, R2, D1, Vectorize, Workers AI, AI Gateway, and the Agent SDK into real agents customers use every day.

Responsibilities

• Build agents on Workers with Durable Objects for state and short-term memory
• Wire tools with the Agent SDK, MCP, and function calling
• Use Vectorize, KV, R2, and D1 for semantic memory, cache, files, and config
• Run models through Workers AI and AI Gateway; integrate third parties when needed
• Create evals, guardrails, and audits. Measure, tune, re-ship fast
• Build agents that summarize, propose fixes, and escalate cleanly to humans
• Expose agent health and metrics in transparent dashboards
• Integrate with queues and webhooks; publish events on Queues or Pub/Sub
• Cut cost per case and time to first response. Prove it with data
• Take end-to-end ownership including on-call for what you ship
• Design and maintain robust observability for distributed AI workflows
• Architect security boundaries for agent-led operations

Requirements

• Demonstrated success shipping production systems
• Strong in TypeScript or Rust on Workers
• Fluency with Durable Objects, KV or R2, and either D1 or Postgres
• Hands-on with model tooling
• Observability mindset
• Experience with a2a/multi-agent frameworks
• Experience developing LLM evaluation frameworks
• Bias for simple, scalable designs

Nice to Have

• Workers AI, AI Gateway, and Vectorize in production
• Salesforce or Service Cloud experience
• Security depth
• OSS agent frameworks

Team Mission

The Agent Tech team owns the end-to-end stack for customer-facing agents on Cloudflare. Everything runs at the edge.