Staff Backend Engineer- Agent Experience
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- 31 open roles at this company in 30 days (mass-hiring blitz)
- no salary disclosed (correlates with ghost postings)
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About the role
What you'll do
Build the surfaces agents call directly: API-first account provisioning, machine-to-machine authentication, scoped credentials, and agent-level identity and attribution.
Own our MCP (Model Context Protocol) servers and an agent-first CLI — let coding agents and LLMs discover and invoke Cloudinary reliably, engineered for agentic callers: token-efficient tool schemas, machine-parseable output, and loud, actionable failures instead of silent ones.
Harden the agent media path — make upload and core media operations reliable for non-human callers, eliminating the ambiguity and silent-failure modes that cause agents to drop off mid-task.
Make agent behavior measurable — partner on the instrumentation, signals, and attribution that tell us whether agents are succeeding.
Work across a polyglot backend — Node.js/TypeScript for the agent tooling layer, with Ruby/Rails and Go in the core platform.
Ship, measure, iterate — prototype quickly, dogfood the experience, and represent the agent's perspective in every design decision. Work closely with Product, Ecosystem, and Discoverability across the AX team.
About you
10+ years building and operating production APIs, SDKs and Backend systems and at scale.
Strong in Node.js/TypeScript, and comfortable working in (or quickly ramping on) Ruby/Rails and/or Go.
Deep API and protocol design fundamentals — authentication (OAuth, API keys, scoped permissions), versioning, idempotency, rate limiting, clean contracts.
Genuine curiosity about agents and LLMs and how they're reshaping how software gets built and run.
Solid distributed-systems and cloud instincts (AWS or equivalent).
A bias for ownership in ambiguity — you scope the problem, not just the solution, and you ship.
Strong written communication — it matters more than usual when your consumers are machines and your teammates are distributed.
Advantages
Hands-on experience with MCP, LLM tool/function-calling, or building AI-/agent-native products.
Experience building SDKs, CLIs, or developer tools that other engineers depend on.
Background in media, imaging, or video processing/delivery.
Open-source contributions in the agent or developer-tooling ecosystem.
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