Nextdata

Nextdata

Senior AI Platform Engineer Contract

San Francisco, CA · Senior

Sponsorship not specifiedDetected 5 days ago
PythonBackend DevelopmentSQLPostgreSQLBigQuerySnowflakeDatabricksPlatform EngineeringAPI DevelopmentOAuthSparkRAGAgentic AILangGraph

About the role

  • HAS NO CUSTOMER-FACING RESPONSIBILITIES AND LESS EMPHASIS ON ARCHITECTURE THAN A PRINCIPAL-LEVEL POSITION.

Responsibilities

  • Build backend services, AI agents, tools, and APIs for governed data access.
  • Implement MCP-compatible endpoints or similar agent interfaces.
  • Integrate SQL, documents, APIs, metadata, semantic models, and vector search.
  • Build retrieval, tool selection, context construction, and grounded response flows.
  • Deliver a reliable, documented system within the three-month project scope.
  • Practical experience building agentic AI applications using LangChain, LangGraph, or similar frameworks.
  • IF SUCCESSFUL, THE PROJECT MAY CONTINUE AND DEVELOP INTO A BROADER NEXTDATA PRODUCT.

Requirements

  • Strong experience with backend systems, data platforms, or distributed systems.
  • Experience with RAG, retrieval, semantic search, tool calling, and multi-step agent workflows.
  • Experience with SQL, documents, metadata systems, and vector search.
  • Familiarity with MCP or similar agent interfaces.
  • Ability to become productive quickly in an unfamiliar codebase.

Nice to have

  • Experience with data products, data mesh, semantic models, catalogs, or governance platforms.
  • Experience with MCP servers, tool registries, or multi-step agents.
  • Experience with Databricks, Snowflake, BigQuery, Spark, DuckDB, Postgres, graph databases, or vector databases.
  • Familiarity with OAuth, OIDC, SAML, SSO, RBAC, ABAC, SCIM, or policy engines.
  • Experience evaluating retrieval quality, tool accuracy, groundedness, and failure modes.
  • Initial term: three to four months.
  • Focus: hands-on implementation and delivery.
  • No customer-facing responsibilities.
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This listing is sourced directly from Nextdata's careers page and normalized into a canonical job model.