Senior AI Platform Engineer Contract

NextData
San Francisco
Workplace: OnsiteFull timeFunction: DevOps, Cloud & InfrastructureSkills: ["Ability to become productive quickly","Good judgment","Production readiness","Scope trade-offs"]

Build and validate an AI-enabled data platform capability in a hands-on implementation role. You’ll ramp up quickly on an existing codebase to create backend services, AI agents, tools, and APIs for governed data access. Work across SQL, documents, metadata, semantic models, and vector search, implementing MCP-compatible endpoints and retrieval/grounded response flows. Add access controls, policy enforcement, audit logging, tests, and observability, delivering a documented system within the initial 3–4 month scope.

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FursaFursa
NextData
NextData
1 month ago

Senior AI Platform Engineer Contract

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 18 hours agoStatus: Live

Job Summary

Build and validate an AI-enabled data platform capability in a hands-on implementation role. You’ll ramp up quickly on an existing codebase to create backend services, AI agents, tools, and APIs for governed data access. Work across SQL, documents, metadata, semantic models, and vector search, implementing MCP-compatible endpoints and retrieval/grounded response flows. Add access controls, policy enforcement, audit logging, tests, and observability, delivering a documented system within the initial 3–4 month scope.
Location: San Francisco
Workplace: Onsite
Employment Type: Full time · 4 months
Job Function: DevOps, Cloud & Infrastructure
Seniority: Mid level

Key Responsibilities

  • •Quickly ramp up on an existing codebase to understand requirements and technical direction.
  • •Build backend services, AI agents, tools, and APIs for governed data access.
  • •Implement MCP-compatible endpoints or similar agent interfaces.
  • •Integrate SQL, documents, metadata, semantic models, and vector search to support retrieval and grounded response flows.
  • •Add access controls, policy enforcement, audit logging, tests, and observability; deliver a reliable, documented system within scope.

Key Requirements

  • •Strong experience with backend systems, data platforms, or distributed systems.
  • •Practical experience building agentic AI applications using LangChain, LangGraph, or similar frameworks.
  • •Experience with RAG, retrieval, semantic search, tool calling, and multi-step agent workflows.
  • •Strong Python and API development skills.
  • •Experience with SQL, documents, metadata systems, and vector search.
Skills:Ability to become productive quicklyGood judgmentProduction readinessScope trade-offs
Tech Stack:PythonAPI developmentSQLLangChainLangGraphMCPVector searchSemantic modelsRetrievalTool callingMulti-step agent workflowsMetadataDocumentsAPIsDatabricksSnowflakeBigQuerySparkDuckDBPostgres

Company Brief

NextData
Builds Nextdata OS, a data-mesh-native platform that creates, shares and manages autonomous data products to enable decentralized, AI-ready data for enterprise analytics and agents.
Industry: Data Infrastructure
Company Size: Small (11 to 50 employees)
Growth: Early Stage Startup
Funding: Seed
Headquarters: San Francisco, United States
Founded: 2022
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