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# AI/ ML Engineer with Google Cloud Platform

- **Company:** Propertyvalue Quantum Technologies Llc
- **Location:** United States (Remote available)
- **Experience:** Expert
- **Salary:** $166,400.0
- **Contract:** Temporary contract
- **Skills:** Artificial Intelligence, Memory Management, Python (Programming Language), Search Technologies, Google Cloud, Fast Healthcare Interoperability Resources, Large Language Models, Multi-Agent Systems, Indexer, Fastapi, Machine Learning Operations, Serverless Computing, Microservices
- **Published:** August 14, 2026
- **Apply:** https://www.dice.com/job-detail/503e5538-e296-4d71-b300-1b838ccd46f5

## About the Role

* 5+ Years in software/AI engineering, with 3+ years directly building, deploying, and maintaining production-grade LLM applications, RAG pipelines, or autonomous agent frameworks.
 * Agentic Frameworks: Hands-on mastery of multi-agent orchestration patterns, tool calling, stateful graphs, and memory management (e.g., LangGraph, AutoGen, LlamaIndex, Semantic Kernel).
 * Google Cloud Platform AI Ecosystem: Deep experience with Vertex AI (Model Garden, Endpoint Deployment, Vector Search, Workbench) and cloud-native services (Cloud Run, Pub/Sub, Cloud Functions).
 * Production Python Engineering: Advanced Python expertise (AsyncIO, FastAPI, Pydantic, gRPC) writing clean, tested, and containerized microservices.

Domain & Architecture Focus

 * Healthcare / Payer Domain: Proven familiarity with Payer workflows (Prior Authorization, Claims Processing, Appeals, Member Engagement) and health data standards (FHIR, EDI X12, ICD-10/CPT).
 * Data & Retrieval: Experience with vector indexing, hybrid search, reranking strategies, and chunking optimization for massive unstructured document stores.
 * Security & HIPAA: Deep understanding of HIPAA compliance, PHI handling, and data privacy in AI pipelines.



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