Cloudflare
Software Engineer, AI Agents
Remote Engineering role with clear candidate location fit.
PostedRecently added
Eligible countries1 accepted country
Seniority signalOpen level
Work settingRemote
Accepted candidate locations
India
Role overview
Software Engineer, AI Agents
Requirements and responsibilities
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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. No mystery boxes
- 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 to ensure visibility into agent reasoning and execution.
- Architect security boundaries for agent-led operations; implementing secure credential handling, multi-layer approval gates, and fine-grained trust scoping for mutative actions.
Must haves
- 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
- Observability mindset. Logs, traces, metrics, redlines
- Experience with a2a/multi-agent frameworks
- Experience developing LLM evaluation frameworks; automated scoring systems, CI-integrated quality gates.
- Bias for simple, scalable designs
Nice to haves
- Workers AI, AI Gateway, and Vectorize in production
- Salesforce or Service Cloud experience. Webhooks and case APIs
- Security depth. Prompt injection protection, secrets detection, PII handling
- OSS agent frameworks. Know what to borrow and what to throw away.
How We Build
- Align fast on what matters.
- Divide and conquer. Own your piece.
- Ship. Watch customers use it.
- Learn and repeat.
Interview Signal
- Build a mini agent on Workers using the Agent SDK
- Store session memory in Durable Objects
- Add semantic recall with Vectorize
- Ship behind a KV flag with traces and observability
- Push to production fast and take ownership
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Stack
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Location eligibility
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Hiring flow
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