AI/ ML Engineer with Google Cloud Platform

Propertyvalue Quantum Technologies Llc

United States

5 days ago

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Role details

Contract type

Temporary contract

Employment type

Full-time (> 32 hours)

Experience level

Expert

Experience required

3 years minimum

Compensation

$166,400.0

Working hours

Regular working hours

Job source

www.dice.com

Tech stack

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

+1 more

Microservices

Requirements

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.