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Sr AI Platform Engineer

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Job Description - Sr AI Platform Engineer




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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