Remote AI/ML Engineer: Secure Cloud AI & LLM Systems

YO AI Labs; New York (NY); Remote; USD 120,000 - 190,000; Full time

Job summary

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

You will design reusable data pipelines, REST APIs, and SDK integrations, collaborating with product, security, and engineering teams to ensure robust deployments across cloud environments.

Qualifications

• Strong Python for AI/ML development.
• Hands-on production experience with LLMs and RAG.
• Experience with multi-agent orchestration and LangGraph/LangChain.
• Knowledge of cloud AI services and secure deployments.
• Data pipelines, ETL, metadata catalogs, 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 like AWS GovCloud, Google GovCloud, Azure IL5+, Vertex AI, 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 secure coding, DevOps, and CI/CD practices.
• Document technical decisions and communicate complex concepts to technical and non-technical stakeholders.

Skills

Python

LLMs & RAG

Prompt engineering

Multi-agent orchestration

Cloud AI platforms

Data pipelines & ETL

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

You will design reusable data pipelines, REST APIs, and SDK integrations, collaborating with product, security, and engineering teams to ensure robust deployments across cloud environments.