Principal AI Platform Engineer

Job not on LinkedIn

🔥 0 minutes ago

🏄 California – Remote

🏄 California – Remote

⏰ Full Time

🔴 Lead

🏗️ Platform Engineer

Apply Now

Find Similar Remote Jobs

Receive Emails For Remote Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume

Nextdata

WebsiteLinkedInAll Job Openings

1 - 10 employees

☁️ SaaS

🤖 Artificial Intelligence

🏢 Enterprise

SaaS • Artificial Intelligence • Enterprise

Nextdata is a company focused on transforming how data is created, shared, and used through its data mesh platform, Nextdata OS. This platform facilitates the creation, sharing, discovery, and access of data products, making it simple, fast, and secure across multiple data stacks and formats. Nextdata OS introduces data product containers, which allow data to be independently usable and managed through built-in governance and computational policies. By allowing businesses to quickly deploy mesh-native data solutions, Nextdata aims to make decentralized data accessible and reliable, unlocking the AI revolution through decentralization at scale. The company enables seamless analytical and machine learning workloads by bringing processing to data and eliminating the need for data redundancy and busywork. With an innovative approach, Nextdata empowers organizations to treat data products as a first-class concept, fostering a peer-to-peer data product exchange.

📋 Description

• 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