Remote AI/ML Engineer: LLMs, RAG & GovCloud Systems

YO AI Labs; Houston (TX); Remote; USD 140,000 - 190,000; Full time

Job summary

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

Responsibilities include building data pipelines, REST APIs, and SDK integrations, while collaborating with product, security, and engineering teams to ensure robust, scalable deployment.

Qualifications

• Proficient in Python for AI/ML development and REST APIs.
• Hands-on experience with LLMs, RAG, and prompt engineering.
• Experience orchestrating multi-agent systems with LangGraph and LangChain.
• Strong knowledge of cloud AI services (GovCloud, Vertex AI, Bedrock).
• Experience building data pipelines, ETL, catalogs, and ontologies.
• Understanding of secure coding and CI/CD practices.
• Excellent written and verbal communication.

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 (AWS GovCloud, Google GovCloud, Azure IL5+, Vertex AI, Bedrock).
• Build robust 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.
• Follow modern secure coding, DevOps, and CI/CD practices.
• Document technical decisions and communicate complex concepts clearly.

Skills

Python

LLMs

RAG

LangGraph

LangChain

AWS GovCloud

Google GovCloud

Vertex AI

REST APIs

CI/CD

Tools

LangGraph

LangChain

AWS GovCloud

Google GovCloud

Vertex AI

AWS Bedrock

Job description

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

Responsibilities include building data pipelines, REST APIs, and SDK integrations, while collaborating with product, security, and engineering teams to ensure robust, scalable deployment.