Senior AI Platform Engineer: Data Infra & ML Pipelines
Job in
San Francisco, San Francisco County, California, 94199, USA
Listed on 2026-06-07
Listing for:
Appex Innovation
Full Time
position Listed on 2026-06-07
Job specializations:
-
Software Development
Data Engineering, AI Engineer (Applied/Software), Machine Learning/ ML Engineer
Job Description & How to Apply Below
DOE
City Frisco
State/Province Texas
75033
Job DescriptionLocation:
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
Position Requirements
10+ Years
work experience
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