Nextdata
Senior AI Platform Engineer Contract
Build backend services, AI agents, tools, and APIs for an AI-enabled data platform. Work with Python, LangChain/LangGraph, RAG, vector search, SQL, and MCP interfaces in a hands-on implementation contract role with no customer-facing responsibilities.
- Compensation
- Not disclosed
- Location
- San Francisco, CA
- Work setup
- Not specified
- Seniority
- Senior
- Employment
- Contract
- Experience
- Not specified
- Category
- Devops
- Posted
Skills
Must have
- 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.
Full description
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.