Backend Engineer

• 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
• Integrate external tools such as CAD software, simulation backends (e.g., OpenFOAM), and data stores into our pipeline
• Support agent development workflows, including tooling for versioning, introspection, and reproducibility
• Contribute to infrastructure decisions that will shape the technical foundation of our platform as it scales
• Engage directly with early customers to support integration, identify infrastructure needs, and gather feedback, We’re not just building software-we’re building the future of engineering itself. As a backend engineer at Navier, you’ll architect the systems that allow our AI agents to reason, simulate, and design like expert engineers. Your work will directly impact how rockets, cars, aircraft, and next-gen hardware are conceived and built.

Required:

• Strong backend engineering skills in Python or similar languages
• Experience designing and maintaining production APIs
• Familiarity with containerized development and deployment (e.g., Docker, Kubernetes)
• Comfort building infrastructure that supports AI/ML systems or computational workflows
• 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
• Excellent communication and collaboration skills

Preferred:

• Expertise in FastAPI
• Experience integrating with scientific software (e.g., CAD, FEA, CFD tools)
• Exposure to agent frameworks, workflow orchestration, or distributed systems
• Familiarity with model serving (e.g., TorchServe, Triton) or simulation backends
• Interest in physics, geometry, or real-world engineering applications
• Prior experience building developer tools or working in high-trust customer-facing roles

• Competitive compensation, including salary and equity
• Direct exposure to high-impact technical problems in aerospace, automotive, and advanced manufacturing
• Opportunity to help define a new category of engineering software