Description
About Us
At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world's largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies.
We protect and accelerate any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks.
Cloudflare was named to Entrepreneur Magazine's Top Company Cultures list and ranked among the World's Most Innovative Companies by Fast Company.
Why This Role Matters
At Cloudflare, we're building industrial-scale AI agents that support customers directly. This isn't research theater. Your code will power real customer interactions from day one, at global scale. Cloudflare already has the parts. You will assemble Workers, Durable Objects, KV, R2, D1, Vectorize, Workers AI, AI Gateway, and the Agent SDK into real agents customers use every day.
Role Intent
Ship production agents on the Cloudflare stack. Build, deploy, learn, repeat. Your code is the front door for Cloudflare customers.
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 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
- Observability mindset. Logs, traces, metrics, redlines
- Experience with a2a/multi-agent frameworks
- Experience developing LLM evaluation frameworks; automated scoring systems, CI-integrated quality gates.
Nice to Have
- 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.
Why Join Cloudflare in India?
Impact at global scale: Your code will serve Cloudflare's customers across every region. Tens of millions of Internet properties depend on us.
Work on the edge: Few companies give engineers the chance to build AI directly into an edge platform that runs in 300+ cities worldwide.
Career growth: As one of the early engineers in our India based AI team, you'll have visibility, leadership opportunities, and a direct hand in shaping Cloudflare's AI roadmap.
Culture of ownership: We believe in autonomy, accountability, and trust. Engineers here own outcomes, not just tickets.
Learn and grow fast: Collaborate with peers across Support, Product, Security, and AI Platform teams. We encourage knowledge sharing, mentorship, and continuous learning.
Interview Signal
Expect to demonstrate your ability to:
- 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