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Senior AI Platform Engineer Contract

Nextdata · San Francisco, CA

Extracted from the posting

Base
Not stated
Remote
On-site
Stack
Python, LangChain, LangGraph, SQL

Contract role for an initial three-month hands-on project building an AI-enabled data platform capability at Nextdata. Work includes backend services, AI agent tools, APIs, and data integrations for governed data access. Stack includes Python, LangChain/LangGraph or similar, RAG, SQL, vector search, and MCP-compatible endpoints.

Nextdata is looking for an experienced AI Platform Engineer for an initial three-month project focused on building and validating an AI-enabled data platform capability.

This is a hands-on implementation role. You will quickly ramp up on an existing project and build backend services, agent tools, APIs, and data integrations. The role has no customer-facing responsibilities and less emphasis on architecture than a principal-level position.

If successful, the project may continue and develop into a broader Nextdata product.


What You’ll Do

  • Quickly understand the existing codebase, 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, APIs, metadata, semantic models, and vector search.
  • Build retrieval, tool selection, context construction, and grounded response flows.
  • Add access controls, policy enforcement, audit logging, tests, and observability.
  • Deliver a reliable, documented system within the three-month project scope.

What We’re Looking For

  • 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.
  • Familiarity with MCP or similar agent interfaces.
  • Understanding of access control, policies, lineage, data quality, PII protection, and auditability.
  • Ability to become productive quickly in an unfamiliar codebase.
  • Good judgment on scope, trade-offs, and production readiness.

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.


Contract Scope

  • Initial term: three to four months.
  • Focus: hands-on implementation and delivery.
  • No customer-facing responsibilities.
  • Potential extension if the project is successful.

Technologies

PythonLangChainLangGraphSQLDatabricksSnowflakeBigQuerySparkDuckDBPostgreSQLOAuthOIDC
Nextdata
Nextdata
Website

Job details

TypeContract
Work ModeOn-site
LevelSenior
Location🇺🇸San Francisco, CA
PostedNov 06, 2026
Apply Now

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