AI Engineer - Senior
Skills
About the role
Request-ID: 22410-1
Role : Sr AI Platform Engineer
Location: Bellevue, Frisco, Kansas, Atlanta
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
Pay: $55.00 - $60.00 per hour
Experience:
Python: 10 years (Required)
AI: 6 years (Required)
Kafka: 6 years (Required)
Databrick: 6 years (Required)
Work Location: In person
Compensation
This Machine Learning Engineer role pays $55k-$60k/yr. Within typical range for machine learning engineer roles in United States.
Questions about this role
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