Remote AI/ML Engineer for GovCloud Solutions

YO AI Labs; Illinois; Remote; USD 120,000 - 170,000; Full time

Job summary

YO AI Labs is seeking an experienced AI/ML Engineer to design, deploy, and secure scalable AI solutions. You will work with LLMs, RAG, prompt engineering, multi-agent systems, and cloud platforms to deliver production-grade ML applications.

This role emphasizes collaboration with product, security, and engineering teams, developing REST APIs, data pipelines, and ontologies, while adhering to secure coding, DevOps, and CI/CD practices.

Qualifications

• Proficiency in Python for AI/ML development including REST APIs and SDKs.
• Hands-on production experience with LLMs, RAG, and prompt engineering.
• Experience with multi-agent orchestration, LangGraph and LangChain.
• Strong knowledge of cloud AI services (AWS GovCloud, Google GovCloud, Azure IL5+, Vertex AI, AWS Bedrock).
• Experience building data pipelines, ETL processes, metadata catalogs, and ontologies.
• Understanding of secure coding and CI/CD practices.
• Excellent written and verbal communication skills.

Responsibilities

• Design, implement, and optimize AI/ML solutions using LLMs, RAG, and prompt engineering.
• Develop and orchestrate multi-agent systems using LangGraph and LangChain.
• Deploy AI solutions across secure cloud environments (GovCloud, Vertex AI, Bedrock).
• Build ETL/data 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 deliver secure, scalable solutions.
• Adhere to secure coding, DevOps, and CI/CD practices.
• Document technical decisions and communicate complex concepts clearly.

Skills

Python

LLMs

RAG

prompt engineering

multi-agent orchestration

cloud platforms

data pipelines

secure coding

CI/CD

communication skills

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 design, deploy, and secure scalable AI solutions. You will work with LLMs, RAG, prompt engineering, multi-agent systems, and cloud platforms to deliver production-grade ML applications.

This role emphasizes collaboration with product, security, and engineering teams, developing REST APIs, data pipelines, and ontologies, while adhering to secure coding, DevOps, and CI/CD practices.