2 months ago
Responsibilities
- 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-to-four-month project scope.
Requirements
- Strong experience with backend systems, data platforms, or distributed systems.
- Practical experience building agentic AI applications with 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 regarding scope, trade-offs, and production readiness.
- Preferred experience with data products, data mesh, semantic models, catalogs, or governance platforms.
- Preferred experience with MCP servers, tool registries, or multi-step agents.
- Preferred experience with Databricks, Snowflake, BigQuery, Spark, DuckDB, Postgres, graph databases, or vector databases.
- Preferred familiarity with OAuth, OIDC, SAML, SSO, RBAC, ABAC, SCIM, or policy engines.
- Preferred experience evaluating retrieval quality, tool accuracy, groundedness, and failure modes.
Benefits
- Initial three-to-four-month contract with potential extension if the project is successful.
Tech Stack
Categories
About Nextdata
Nextdata OS turns legacy data pipelines and scattered tools into a unified layer of autonomous data products—AI-ready by design. By making data self-describing, self-governing, and instantly usable by agents and applications, Nextdata OS helps teams move faster, reduce risk, and deliver trusted data for AI, analytics, and innovation.