AI/ML Engineer with Google Cloud Platform

Hello,

This is Kumar from Tek Leaders Inc, hope you are doing great. Please find the below Job Description.

Role: AI/ML Engineer with Google Cloud Platform

Location: Remote Position

Duration: Long Term

Job Description:

Experience Level: Lead (8-10+ Years)Core Stack: Google Cloud Platform (Vertex AI, Cloud Run, GKE), Python, Agentic Frameworks (LangChain/LangGraph, LlamaIndex, AutoGen), Vector DBs, Payer Systems (EDI/FHIR, Claims, Prior Auth)

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.

Kumar K

Sr. US IT Recruiter

Email:

LinkedIn: