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
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