Remote AI/ML Engineer for Secure GovCloud & LLMs

YO AI Labs; San Jose (CA); Remote; USD 140,000 - 190,000; Full time

Job summary

YO AI Labs is seeking an experienced AI/ML Engineer to build and deploy secure, scalable AI solutions for mission-critical initiatives. You will work with LLMs, RAG, prompt engineering, multi-agent systems, and cloud AI platforms to develop production-grade machine learning applications.

Responsibilities include designing, implementing, and optimizing AI/ML solutions, deploying across secure cloud environments such as AWS GovCloud, Google GovCloud, Azure IL5+, Vertex AI, and AWS Bedrock,

Qualifications

• Strong Python proficiency for AI/ML development.
• Production experience with LLMs, RAG, and prompt engineering.
• Experience with multi-agent orchestration and LangGraph/LangChain.
• Knowledge of cloud AI services and secure coding practices.

Responsibilities

• Design, implement, and optimize AI/ML solutions using LLMs, RAG, and prompt engineering.
• Develop and orchestrate multi-agent systems with LangGraph and LangChain.
• Deploy AI solutions across secure cloud environments (GovCloud, Vertex AI, Bedrock).
• Build robust ETL/data pipelines, metadata catalogs, and ontologies.
• Develop and maintain REST APIs and SDK integrations.
• Collaborate with product, security, and engineering teams; follow CI/CD practices.
• Document decisions and communicate complex concepts clearly.

Skills

Python

LLMs

RAG

Prompt engineering

Multi-agent orchestration

REST APIs

SDK integrations

Tools

LangGraph

LangChain

AWS GovCloud

Google GovCloud

Azure IL5+

Vertex AI

AWS Bedrock

Job description

YO AI Labs is seeking an experienced AI/ML Engineer to build and deploy secure, scalable AI solutions for mission-critical initiatives. You will work with LLMs, RAG, prompt engineering, multi-agent systems, and cloud AI platforms to develop production-grade machine learning applications.

Responsibilities include designing, implementing, and optimizing AI/ML solutions, deploying across secure cloud environments such as AWS GovCloud, Google GovCloud, Azure IL5+, Vertex AI, and AWS Bedrock,