Remote AI/ML Engineer — LLMs, RAG & Secure Cloud

YO AI Labs; Chicago (IL); 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 while contributing to proprietary AI infrastructure. You will work with LLMs, RAG, prompt engineering, multi-agent systems, and cloud AI platforms to develop production-grade machine learning applications.

You will design, implement, and operate end-to-end data pipelines, REST APIs, and SDKs, collaborating with product, security, and engineering teams to deliver

Qualifications

• Strong Python proficiency for AI/ML development.
• Hands-on production experience with LLMs and RAG.
• Experience with multi-agent orchestration and tooling (LangGraph, LangChain).
• Cloud AI services experience (GovCloud, Vertex AI, Bedrock).
• Experience building data pipelines, ETL, metadata catalogs, and ontologies.
• 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 using LangGraph and LangChain.
• Deploy AI solutions across secure cloud environments (AWS GovCloud, Google GovCloud, Azure IL5+, Vertex AI, AWS Bedrock).
• Build robust ETL/data pipelines, metadata catalogs, and ontologies for training/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 to stakeholders.

Skills

Python

LLMs

RAG

Prompt engineering

Multi-agent orchestration

REST APIs

CI/CD

Secure coding

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 build and deploy secure, scalable AI solutions for mission-critical initiatives while contributing to proprietary AI infrastructure. You will work with LLMs, RAG, prompt engineering, multi-agent systems, and cloud AI platforms to develop production-grade machine learning applications.

You will design, implement, and operate end-to-end data pipelines, REST APIs, and SDKs, collaborating with product, security, and engineering teams to deliver