Remote AI/ML Engineer — Secure Gov Cloud & LLMs

YO AI Labs; Atlanta (GA); Remote; USD 120,000 - 160,000; Full time

Job summary

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

Responsibilities include building data pipelines, ETL processes, REST APIs, and SDK integrations, while collaborating with product and security teams to ensure robust, compliant deployments in secure cloud environments.

Qualifications

• Proven experience building production AI/ML systems with LLMs and RAG.
• Strong Python and API development skills for scalable services.
• Experience in multi-agent orchestration and tool integration.
• Knowledge of secure cloud deployments and compliance basics.
• Hands-on with data pipelines, ETL, and metadata concepts.
• Excellent communication for technical and non-technical audiences.

Responsibilities

• Design and implement AI/ML solutions using LLMs, RAG, and prompts.
• Develop multi-agent systems with LangGraph and LangChain.
• Deploy secure AI solutions across AWS GovCloud, Google GovCloud, Azure IL5+.
• Build ETL pipelines, metadata catalogs, and ontologies for training.
• Develop REST APIs and SDK integrations for external apps.
• Collaborate with product and security teams to ensure robust deployments.

Skills

Python

LLMs

RAG

Prompt engineering

Multi-agent orchestration

LangGraph

LangChain

Cloud AI services

Data pipelines

ETL processes

REST APIs

SDK integrations

CI/CD

Security standards

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 scale secure AI solutions for mission-critical applications. You will work with LLMs, RAG, prompt engineering, multi-agent systems, and cloud AI platforms to deliver production-grade ML applications.

Responsibilities include building data pipelines, ETL processes, REST APIs, and SDK integrations, while collaborating with product and security teams to ensure robust, compliant deployments in secure cloud environments.