Secure Gov Cloud AI/ML Engineer (Remote)

YO AI Labs; North Carolina; Remote; USD 120,000 - 180,000; Full time

Job summary

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

You will design and implement AI solutions, orchestrate agents with LangGraph/LangChain, and deploy across secure cloud environments such as AWS GovCloud, Google GovCloud, Azure IL5+, Vertex AI, and Bedrock.

Qualifications

• Strong Python for AI/ML development and REST API integrations.
• Hands-on experience with LLMs, RAG, and prompt engineering.
• Experience orchestrating multi-agent systems using LangGraph and LangChain.
• Deep knowledge of cloud AI services across GovClouds and cloud platforms.
• Experience building data pipelines, ETL processes, metadata catalogs, and ontologies.
• Strong understanding of secure coding and CI/CD 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 (GovClouds, Vertex AI, Bedrock).
• Build robust ETL pipelines, metadata catalogs, and ontologies for training and inference.
• Develop and maintain REST APIs and SDK integrations.
• Collaborate with product, security, and engineering teams to ensure secure, scalable delivery.
• Adhere to modern secure coding, DevOps, and CI/CD practices.

Skills

Python

LLMs

RAG

Prompt engineering

Multi-agent orchestration

LangGraph

LangChain

Cloud AI services

AWS GovCloud

Google GovCloud

Azure IL5+

Vertex AI

AWS Bedrock

ETL pipelines

Data catalogs

Ontologies

Secure coding

CI/CD

REST APIs

Tools

LangGraph

LangChain

Job description

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

You will design and implement AI solutions, orchestrate agents with LangGraph/LangChain, and deploy across secure cloud environments such as AWS GovCloud, Google GovCloud, Azure IL5+, Vertex AI, and Bedrock.