Senior AI Platform Engineer: Data Infra & ML Pipelines

DOE

City Frisco

State/Province Texas

75033

Location:
Bellevue, Frisco, Kansas, Atlanta (Onsite)

• API development: production Python with FastAPI or comparable; versioned REST APIs, contracts, governance.
• Batch and real-time data pipelines:
  Kafka or comparable streaming, plus CDC or incremental batch; built and operated end-to-end.
• Caching and key-value serving: production Redis or Valkey; cache invalidation, TTL strategies, hot-path serving.
• Vector databases and knowledge graphs:
  Pinecone, Weaviate, pgvector, Neo4j, or comparable; embeddings and retrieval patterns.
• AI software engineering: hands-on building data infrastructure for AI and ML use cases (RAG, agent tooling, feature serving).
• Delta Lake internals: transaction log, time travel, and Change Data Feed (CDF).
• SQL and data modeling: comfortable with point‑lookup vs analytical query patterns.
• CI/CD:
  Git Lab or Git Hub Actions; automated tests for data pipelines.
• Communication: works directly with senior architects, product managers, and domain stakeholders.

• Embedded analytical engines:
  DuckDB or comparable.
• Microsoft Fabric / One Lake / Power BI Semantic Models: production experience.
• SLAs and SLOs: defining and operating for data products or APIs.
• MCP-style tooling: data access for AI agents.
• Enterprise‑scale data serving: prior work on serving infrastructure at large enterprise