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
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Quickly understand the existing codebase, requirements, and technical direction.
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Build backend services, AI agents, tools, and APIs for governed data access.
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Implement MCP-compatible endpoints or similar agent interfaces.
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Integrate SQL, documents, APIs, metadata, semantic models, and vector search.
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Build retrieval, tool selection, context construction, and grounded response flows.
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Add access controls, policy enforcement, audit logging, tests, and observability.
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Deliver a reliable, documented system within the three-month project scope.
What We’re Looking For
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Strong experience with backend systems, data platforms, or distributed systems.
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Practical experience building agentic AI applications using LangChain, LangGraph, or similar frameworks.
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Experience with RAG, retrieval, semantic search, tool calling, and multi-step agent workflows.
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Strong Python and API development skills.
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Experience with SQL, documents, metadata systems, and vector search.
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Familiarity with MCP or similar agent interfaces.
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Understanding of access control, policies, lineage, data quality, PII protection, and auditability.
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Ability to become productive quickly in an unfamiliar codebase.
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Good judgment on scope, trade-offs, and production readiness.
Nice to Have
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Experience with data products, data mesh, semantic models, catalogs, or governance platforms.
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Experience with MCP servers, tool registries, or multi-step agents.
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Experience with Databricks, Snowflake, BigQuery, Spark, DuckDB, Postgres, graph databases, or vector databases.
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Familiarity with OAuth, OIDC, SAML, SSO, RBAC, ABAC, SCIM, or policy engines.
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Experience evaluating retrieval quality, tool accuracy, groundedness, and failure modes.