Remote AI/ML Engineer – Secure Cloud & LLM Systems

YO AI Labs; Miami (FL); Remote; USD 120,000 - 180,000; 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 applications.

You will design and implement AI services, deploy across secure cloud environments, and collaborate with product, security, and engineering teams to deliver robust, compliant systems.

Qualifications

• Strong Python proficiency for AI/ML development.
• Production experience with LLMs, RAG, and prompt engineering.
• Experience with multi-agent orchestration and LangGraph/LangChain.
• Experience with cloud AI services (GovCloud, Vertex AI, Bedrock).
• Experience building data pipelines, ETL processes, metadata catalogs, and ontologies.

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 such as AWS GovCloud, Google GovCloud, Azure IL5+, Vertex AI, and AWS Bedrock.
• Build robust ETL and data pipelines, metadata catalogs, and ontologies for AI 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 effectively to technical and non-technical stakeholders.

Skills

Python

LLMs

RAG

LangChain

LangGraph

REST APIs

CI/CD

Cloud platforms

Security best practices

Data pipelines

Tools

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 applications.

You will design and implement AI services, deploy across secure cloud environments, and collaborate with product, security, and engineering teams to deliver robust, compliant systems.