Remote AI/ML Engineer: Scalable LLMs & Multi-Agent Apps

YO AI Labs; North Carolina; Remote; USD 120,000 - 160,000; Full time

Job summary

YO AI Labs is seeking an experienced AI/ML Engineer to design and deploy secure, scalable AI solutions remotely 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, implement, and optimize AI/ML solutions across secure cloud environments, build robust data pipelines, and develop REST APIs and SDK integrations.

Qualifications

• Strong Python for AI/ML development.
• Production experience with LLMs, RAG, and prompt engineering.
• Experience with multi-agent orchestration and tooling (LangGraph, LangChain).
• Knowledge of cloud AI services across GovCloud and major providers.

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+).
• Build ETL 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 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

Cloud AI services

Data pipelines

Secure coding

CI/CD

Communication

Tools

LangGraph

LangChain

AWS GovCloud

Google GovCloud

Azure IL5+

Vertex AI

AWS Bedrock

REST APIs

SDK integrations

Job description

YO AI Labs is seeking an experienced AI/ML Engineer to design and deploy secure, scalable AI solutions remotely 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, implement, and optimize AI/ML solutions across secure cloud environments, build robust data pipelines, and develop REST APIs and SDK integrations.