Platform Backend Engineer (Rust, AI Infra)

Archetype AI Inc.; San Mateo (CA); On-site; USD 150,000 - 210,000; Full time

Job summary

Archetype AI is seeking a Backend Engineer to architect, build, and scale foundational platform domains—ranging from public APIs/SDKs and agent runtimes to multi-tenant ingestion paths and orchestration engines for high-performance GPU jobs.

You will translate frontier AI capabilities into resilient production infrastructure. Mid-level candidates will own core backend services; seniors will drive architecture and elevate engineering standards across the organization.

Qualifications

• 4–8+ years of professional engineering with a backend, distributed systems, or developer-platform track record.
• Strong production experience in Rust, Python, Go, or C++. Rust strongly preferred; be ready to work in it daily.
• Have designed, built, and operated production services in the cloud (AWS, GCP, Azure) with Kubernetes and CI/CD.
• Distributed systems in practice: concurrency, consistency, backpressure, retries, idempotency, 10× load.
• Product judgment: has shipped APIs or infrastructure other engineers chose to use, and cares about the contract.
• AI-assisted development is part of your workflow: coding agents daily, without lowering the quality bar.

Responsibilities

• Own backend product capabilities end to end: design, build, ship, iterate. REST/Python APIs, agent runtimes.
• Make research usable. Turn a new Newton capability into a versioned, observable, multi-tenant production path.
• Build for more than one deployment model: our cloud, a customer VPC, on-prem, and increasingly the edge.
• Treat developers as customers. API shape, error messages, SDKs, and internal tools should make the next team faster.
• Operate what you build: SLOs, tracing, metrics, logs, on-call. Debug across code, datastores, queues, and Kubernetes.

Skills

Backend engineering

Distributed systems

Rust

Python

Go

Kubernetes

REST APIs

Tools

AWS

GCP

Azure

CI/CD

Job description

Archetype AI is seeking a Backend Engineer to architect, build, and scale foundational platform domains—ranging from public APIs/SDKs and agent runtimes to multi-tenant ingestion paths and orchestration engines for high-performance GPU jobs.

You will translate frontier AI capabilities into resilient production infrastructure. Mid-level candidates will own core backend services; seniors will drive architecture and elevate engineering standards across the organization.