Apply Now

Lead AI/ ML Engineer with Google Cloud Platform and Senior AI/ ML Engineer with Google Cloud Platform - Remote role

Remote • Posted 1 hour ago • Updated 1 hour ago

Contract Independent

Contract W2

12 Months

Remote

Depends on Experience

HPTech Inc.

Fitment

Dice Job Match Score™

🔢 Crunching numbers...

Job Details

Skills

Senior AI/ ML Engineer with GCP
LLM Engineer
RAG
LangGraph
AutoGen
Vertex AI
specific payer workflows
FHIR/X12
HIPAA
Python
FastAPI OR AsyncIO OR Pydantic OR gRPC))
Semantic Kernel
healthcare

Summary

Required Qualifications & Experience

Core AI/ML & Agentic Engineering (Must-Have)

8+ 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.

Nice-to-Have / Force Multipliers

Google Cloud Platform Cloud Architecture: Experience with Terraform, Google Cloud Platform VPCs, and IAM fundamentals.
Fine-Tuning & Small Language Models (SLMs): Experience fine-tuning domain-specific models (PEFT, LoRA) for structured extraction or classification.
Evaluation & Evals Frameworks: Deep experience with automated LLM benching and continuous integration testing for probabilistic software.

Certifications: Google Cloud Platform Professional Machine Learning Engineer or Google Cloud Platform Professional Cloud Architect credential

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: 91162806
Position Id: 9054632
Posted 1 hour ago

Company Info

About HPTech Inc.

HPTech Inc has grown to become a premier provider of IT consulting services for technology. With a specialized niche in transaction and data warehousing applications, HPTech Inc helps clients implement mission-critical, enterprise solutions, speed conversion from legacy environments, and optimize the benefits inherent in their systems. Our consulting solutions range from project strategy and planning, software assessment and selection, to implementation and integration, hosting and change management, support and maintenance translating to higher productivity, lower costs.

Go to company profile

Contact the job poster

Shri Nair

Recruiter @ HPTech Inc.

View Profile

Create job alert

Never miss an opportunity! Create an alert based on the job you applied for.

Remote

•

Today

Role Summary We are seeking a Contact Center Solution Enterprise Architect to lead the strategic design, end-to-end integration, and evolution of our modern contact center ecosystem. In this high-impact role, you will define the enterprise-wide architecture for real-time contact center platforms, combining core telephony, omni-channel routing, and advanced AI specifically Google Contact Center AI (CCAI) and Real-Time Agent Assist. You will bridge the gap between business operations, telephony p

Easy Apply

Contract