Remote AI/ML Engineer — GovCloud & Production AI

YO AI Labs; Toronto; Remote; CAD 110,000 - 160,000; 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.

Design, implement, and operate production-grade ML apps, develop REST APIs and SDKs, and collaborate with product, security, and engineering teams to deliver robust, compliant solutions.

Qualifications

• Experience in AI/ML development with Python and REST APIs.
• Production experience with LLMs, RAG, and prompt engineering.
• Experience with multi-agent orchestration and LangGraph/LangChain.
• Strong knowledge of secure coding and CI/CD practices.
• Experience with enterprise/cloud GovCloud environments is a plus.

Responsibilities

• Design and optimize AI/ML solutions using LLMs, RAG, and prompt engineering.
• Develop and orchestrate multi-agent systems with LangGraph and LangChain.
• Deploy AI solutions across secure cloud environments (GovCloud, Vertex AI, Bedrock).
• Build robust ETL/data pipelines, catalogs, and ontologies for 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 decisions and communicate complex concepts to stakeholders.

Skills

Python

LLMs & RAG

Prompt Engineering

Multi-Agent Orchestration

REST APIs & SDK Integrations

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. You will work with LLMs, RAG, prompt engineering, multi-agent systems, and cloud AI platforms.

Design, implement, and operate production-grade ML apps, develop REST APIs and SDKs, and collaborate with product, security, and engineering teams to deliver robust, compliant solutions.