Navier AI

Backend Engineer

San Francisco

Sponsorship not specifiedDetected 351 days ago

PythonFastAPIDistributed SystemsDockerKubernetesMachine LearningAgentic AIAI OrchestrationFEACFDCommunicationCollaboration

About the role

You'll work across model serving, simulation orchestration, multi-agent coordination, and developer-facing APIs.

Own core backend systems for serving AI agents and managing their compute, data, and model coordination
Design and implement APIs that expose agent functionality-simulation control, CAD operations, optimization workflows-to internal tools and customer integrations
Build secure, scalable infrastructure for multi-agent orchestration, including support for containerized workloads, caching, and distributed compute
Collaborate closely with ML, frontend, and simulation engineers to create a cohesive, performant product experience
Support agent development workflows, including tooling for versioning, introspection, and reproducibility
Comfort building infrastructure that supports AI/ML systems or computational workflows
Prior experience building developer tools or working in high-trust customer-facing roles

Experience designing and maintaining production APIs
Familiarity with containerized development and deployment (e.g., Docker, Kubernetes)
Strong systems thinking and ability to reason across compute, data, and model interactions
Experience in fast-paced environments where end-to-end ownership is expected
Expertise in FastAPI
Experience integrating with scientific software (e.g., CAD, FEA, CFD tools)
Familiarity with model serving (e.g., TorchServe, Triton) or simulation backends

Engage directly with early customers to support integration, identify infrastructure needs, and gather feedback

This listing is sourced directly from Navier AI's careers page and normalized into a canonical job model.