The Role
Build and own backend services, APIs, and data pipelines powering an AI automation engine for enterprise hardware engineering. Implement scalable, secure infrastructure for high-volume LLM calls, design-tool integrations (PLM, CAD, CAE), document and design data ingestion, and work directly with founders and customers to rapidly prototype and ship production features.
Summary Generated by Built In
About the Role
We're looking for a high-agency Backend Engineer to define and build features and foundations powering our AI automation engine for hardware engineering, used by global enterprise customers. You’ll implement scalable, secure infrastructure layers that support agent workflows for processing large volumes of engineering data including millions of technical requirements. You’ll also create systems to connect, filter and sort critical information for our customers' product development workflows - building extensible interfaces between enterprise hardware design tools and our own systems.
This is a deeply technical, high-impact role. You’ll be joining as one of the first technical hires, working directly with the founders to build mission-critical systems driving the future of engineering in complex physical industries. If you excel under ambiguity, have a knack for thinking across systems and want to do it while working directly with early customers to understand their needs and rapidly ship product features, this is your role.
Key Responsibilities
- Ship Product Features: Own backend services, APIs and storage components that help automate complex processing tasks across thousands of documents and engineering design data.
- Infrastructure Ownership: Lead efforts in enterprise-grade infrastructure to support high volumes of LLM calls, RBAC, security, and deployment for AI products.
- Design Tool Integrations: Build interfaces to connect existing enterprise design tools including product life management (PLM), CAD and CAE (simulation) directly to our agents
- Data Ingestion Pipelines: Build robust pipelines to handle PDFs, spreadsheets, engineering drawings, 3D models, structured/unstructured data, and convert them into usable formats.
- Move Fast, Learn Fast: Prototype rapidly, validate ideas with real users, and ship frequently.
- Help Shape the Company: Influence engineering culture, architecture decisions, and the future of the product.
Required Qualifications
- Strong programming skills (Python, SQL, Rust etc.) and experience building APIs, services, and data pipelines
- Proficient in API creation, data-schema and system design, concurrency and data-structures
- Track record of shipping production features
- Excellent problem-solving abilities and comfort with ambiguity
- Strong communication skills and ability to work directly with customers or stakeholders
Preferred Qualifications
- 2+ years experience in backend, or ML infra engineering roles
- Experience with CAD or other design data
- Previous experience building integrations to enterprise software
- Exposure to enterprise security, SSO, RBAC, or interest in learning fast
- Familiarity with NLP/LLM tooling and document processing workflows
- Familiarity with Docker, CI/CD pipelines and cloud-native infrastructure
The base pay range for this role is $180 – $250 per year.
Skills Required
- Strong programming skills (Python, SQL, Rust)
- Experience building APIs, services, and data pipelines
- Proficient in API creation, data-schema and system design, concurrency and data-structures
- Track record of shipping production features
- Excellent problem-solving abilities and comfort with ambiguity
- Strong communication skills and ability to work directly with customers or stakeholders
- 2+ years experience in backend or ML infra engineering roles
- Experience with CAD or other design data
- Experience building integrations to enterprise software
- Exposure to enterprise security, SSO, RBAC
- Familiarity with NLP/LLM tooling and document processing workflows
- Familiarity with Docker, CI/CD pipelines and cloud-native infrastructure
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The Company
What We Do
Antes is a San Francisco–based AI startup (founded 2024) that builds AI-driven compliance software for complex manufacturers. Its platform automates interpretation of regulations and bridges engineering and legal workflows, helping in-house teams align product specifications with regulatory requirements. The company blends hardware-aware engineering with machine intelligence and raised a $4.6M seed round to grow its team and product.
