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AI Engineer - Senior

Job

Appex innovation

Frisco, TX (In Person)

$119,600 Salary, Full-Time

Posted 4 days ago (Updated 12 hours ago) • Actively hiring

Expires 7/6/2026

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Job Description

AI Engineer - Senior Appex innovation Frisco, TX Job Details Contract $55 - $60 an hour 1 day ago Qualifications AI models Data model design Software engineering Databricks Data lake Azure Data Lake Data modeling projects AI platforms (beyond public GPTs) Schema design SQL Production systems Machine learning cloud services Data caching Model deployment Semantic Web Developing automated testing protocols Developing and maintaining backend systems In-memory caching Kafka DevOps automation Real-time data processing implementation Query management Batch data processing Project stakeholder communication Python MLOps Cross-functional communication Web services design
Full Job Description 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