高级 AI 平台工程师

#### 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.