Job Description & Details
This is a heavy-hitting architecture role where you will be bridging the gap between rock-solid distributed backend systems and cutting-edge agentic AI workflows. If you enjoy taking vague requirements and turning them into production-ready autonomous systems that actually scale, this gig is worth your attention. You aren't just writing code here; you're defining how entire cross-functional teams build and orchestrate AI infrastructure.
What You'll Actually Be Doing
You'll spend your days designing and owning complex agentic systems that require deep planning, tool use, memory management, and orchestration. Expect to deal with the messy reality of asynchronous processing, distributed queues, and streaming data pipelines while ensuring your AI agents don't hallucinate or fall over under production loads. You'll work closely with other teams to align technical direction, translating ambiguous problem spaces into reliable, high-throughput backend services.
The Core Tech Stack
You need a battle-tested foundation in backend engineering using Node.js, TypeScript, or Golang, paired with deep production experience running systems on cloud infrastructure with Docker and Kubernetes. On the data side, PostgreSQL, Redis, and MongoDB are your bread and butter. But what really separates you from a standard backend dev here is your hands-on fluency with the Agentic AI stackâframeworks, LLM orchestration, evaluation pipelines, and vector databases.
Interview Expectations
Be ready for deep-dive architectural grilling where they'll ask you to design a fault-tolerant multi-agent workflow that handles rate-limiting, state persistence, and automatic retries against unstable LLM APIs. The hiring manager is secretly looking to see how you handle failure modes and edge cases when non-deterministic components interact with deterministic backend services. They also want to know how you mentor and influence other engineers without relying on formal authority.
Application Advice
Skip the generic template and make sure your resume immediately highlights your heavy-duty backend distributed systems background alongside your modern AI stack experience. Explicitly call out metrics around scale, latency, and throughput in your past roles, and weave in exact keywords from the description like 'agentic workflows', 'orchestration', and 'distributed systems' so you easily clear the ATS filters. Show them you know how to build systems that are both intelligent and robust.