Build and ship production AI agents on Cloudflare's edge platform using Workers, Durable Objects, and AI tools. Requires strong TypeScript/Rust experience, observability expertise, and hands-on LLM tooling for evals, safety, and multi-agent systems.
Salary not listed
On-siteML Engineering
About the role
What You Will Do
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 (with team support)
Design and maintain robust observability for distributed AI workflows, implementing structured logging and end-to-end tracing across async service boundaries
Architect security boundaries for agent-led operations; implementing secure credential handling, multi-layer approval gates, and fine-grained trust scoping for mutative actions.
Must Have
Demonstrated success shipping production systems. Repos and releases that show real work.
Strong in TypeScript or Rust on Workers. HTTP, queues, async, performance
Fluency with Durable Objects, KV or R2, and either D1 or Postgres
Hands on with model tooling. Prompt I/O, tool calling, evals, safety checks
Characterize, analyze, and optimize performance of state-of-the-art AI models on Cerebras' wafer-scale hardware. Build performance models, optimize kernels and compilers, debug runtime behavior, and develop visualization tools to influence next-gen AI architecture.
Salary not listed
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