
About the Role
At Cloudflare, we are building industrial-scale AI agents that support customers directly. This is not research theater; your code will power real customer interactions from day one at a global scale. You will assemble Cloudflare's stack—including Workers, Durable Objects, KV, R2, D1, Vectorize, Workers AI, and the Agent SDK—to build production-ready agents.
What You Will Do
- Build agents on Workers with Durable Objects for state and short-term memory.
- Wire tools using the Agent SDK, MCP, and function calling.
- Utilize Vectorize, KV, R2, and D1 for semantic memory, caching, and configuration.
- Run models through Workers AI and AI Gateway, integrating third-party services as needed.
- Create evals, guardrails, and audits; measure, tune, and re-ship rapidly.
- Build agents that summarize, propose fixes, and escalate to humans.
- Expose agent health and metrics via transparent dashboards.
- Integrate with queues and webhooks; publish events on Queues or Pub/Sub.
- Architect security boundaries for agent-led operations, including secure credential handling and multi-layer approval gates.
- Design robust observability for distributed AI workflows, including structured logging and end-to-end tracing.
Requirements
- 5-10 years of experience with a demonstrated history of shipping production systems.
- Strong proficiency in TypeScript or Rust on Workers (HTTP, queues, async, performance).
- Fluency with Durable Objects, KV, R2, and either D1 or Postgres.
- Hands-on experience with model tooling: prompt I/O, tool calling, evals, and safety checks.
- Experience with a2a/multi-agent frameworks and LLM evaluation frameworks.
- Observability mindset: logs, traces, metrics, and redlines.
- Bias for simple, scalable designs.
Nice to Have
- Experience with Workers AI, AI Gateway, and Vectorize in production.
- Salesforce or Service Cloud experience (Webhooks/Case APIs).
- Security depth: prompt injection protection, secrets detection, and PII handling.
- Familiarity with OSS agent frameworks.
Why Join Cloudflare in India?
- Impact at global scale: Serve customers across every region.
- Work on the edge: Build AI directly into an edge platform running in 300+ cities.
- Career growth: Shape the AI roadmap as an early engineer in the India-based AI team.
- Culture of ownership: Autonomy, accountability, and trust in a collaborative environment.
Culture
Async-friendly
Open to
Bangalore · India
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