Sr AI Platform Engineer

Job Description

Job Description

Job Details:

Role : Sr AI Platform Engineer

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

Required experience

• 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).

• Azure Databricks, Delta Lake, Unity Catalog: hands-on production experience.

• 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: GitLab or GitHub Actions; automated tests for data pipelines.

• Communication: works directly with senior architects, product managers, and domain stakeholders.

Nice to have

• Embedded analytical engines: DuckDB or comparable.

• Microsoft Fabric / OneLake / 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