Principal AI Platform Engineer
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Job Description
Principal AI Platform Engineer at Nextdata designs interfaces for AI systems using enterprise data. Collaboration across data engineering, AI engineering, and product architecture.
Responsibilities:
- Design agentic data interfaces that let AI agents discover, understand, and safely use data products.
- Build MCP-compatible endpoints, tools, and APIs for governed AI/data access.
- Develop data agents that reason over metadata, semantics, contracts, policies, and data outputs.
- Make data products AI-ready across SQL, documents, vectors, graphs, APIs, and semantic models.
- Build safe query and action flows with access checks, policy enforcement, approvals, and audit trails.
- Work on retrieval, semantic search, tool selection, context construction, and answer grounding.
- Define reusable patterns for agent-readable metadata, structured outputs, observability, and evaluation.
- Partner with product, engineering, and customer teams to turn enterprise AI/data use cases into product capabilities.
Requirements:
- Strong experience in data engineering, data platforms, distributed systems, or enterprise data infrastructure.
- Practical experience building AI-enabled data systems, retrieval systems, semantic layers, or data agents.
- Strong knowledge of SQL, APIs, documents, vector search, knowledge graphs, and metadata systems.
- Experience with agentic interfaces, tool-calling, MCP or similar protocols, function calling, or AI backends.
- Good understanding of governance: access control, policies, contracts, lineage, data quality, PII protection, and auditability.
- Ability to build production systems that are safe, observable, testable, and reliable.
- Strong Python skills and comfort working across backend services, data systems, APIs, and AI frameworks.
- Product-minded judgment: you know the difference between a demo, a customer-specific workaround, and a reusable platform capability.
- Comfort working in ambiguous areas where the patterns are still being defined.
Benefits:
- Health insurance
- Retirement plans
- Paid time off
- Flexible work arrangements
- Professional development
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