AI/ML Engineer Job Type: Full-Time Location: Remote Job Summary We are 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.

Key Responsibilities Design, implement, and optimize AI/ML solutions using LLMs, RAG, and prompt engineering .

Develop and orchestrate multi-agent systems using Lang

Graph and Lang

Chain .

Deploy AI solutions across secure cloud environments such as AWS Gov

Cloud, Google Gov

Cloud, 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, Dev

Ops, and CI/CD practices.

Document technical decisions and communicate complex concepts effectively to technical and non-technical stakeholders.





Required Skills & Qualifications Strong Python proficiency for AI/ML development, including REST APIs and SDK integrations.

Hands-on production experience with LLMs, RAG, and prompt engineering .

Experience with multi-agent orchestration , tool use, Lang

Graph, and Lang

Chain.

Robust knowledge of cloud AI services, including AWS Gov

Cloud, Google Gov

Cloud, Azure IL5+, Vertex AI, and AWS Bedrock .

Experience building data pipelines, ETL processes, metadata catalogs, and ontologies .

Strong understanding of secure coding and CI/CD practices .

Excellent written and verbal communication skills.

Preferred Qualifications Experience with enterprise AI platforms such as Anthropic for Gov, OpenAI Enterprise, Gemini Enterprise, or Grok Enterprise .

Knowledge of MCP, metadata catalog platforms, and advanced API development .

Experience working in government, regulated, or security-sensitive cloud environments .

Familiarity with relevant compliance and security standards.

📌 AI/ML Engineer - Remote (Vancouver)
🏢 YO AI Labs
📍 Vancouver