Customer Service - Bilingual - Work from Home

Arise Virtual Solutions; Ottawa; Remote; CAD 42,000 - 50,000; Full time

Job summary

Arise Virtual Solutions is seeking an experienced AI/ML Engineer to design 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 to build production-grade ML applications.

You will design end-to-end pipelines, ensure secure coding practices, and collaborate with product, security, and engineering teams to deliver robust AI capabilities across cloud environments.

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, LangGraph, and LangChain.
• Strong knowledge of cloud AI services, including AWS GovCloud, Google GovCloud, 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.

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 such as AWS GovCloud, Google GovCloud, 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, DevOps, and CI/CD practices.
• Document technical decisions and communicate complex concepts effectively to technical and non-technical stakeholders.

Skills

Python

LLMs

RAG

Prompt engineering

Multi-agent orchestration

LangGraph

LangChain

Cloud AI services

Data pipelines

REST APIs

CI/CD

Secure coding

Tools

LangGraph

LangChain

AWS GovCloud

Google GovCloud

Vertex AI

AWS Bedrock

Job description

CA$30.76–CA$36.19 hourly

Full-time, Part-time

Remote

CA$30.43–CA$35.11 hourly

Full-time

Remote

CA$48.00–CA$69.00 hourly

Full-time

Permanent, Full-time, Part-time

CA$42.19 hourly

Full-time, Temporary

Part-time

Full-time

CA$23.00–CA$30.00 hourly

Temporary, Full-time

CA$69,000.00 yearly

Remote

Full-time

Full-time

Part-time

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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 LangGraph and LangChain.
• Deploy AI solutions across secure cloud environments such as AWS GovCloud, Google GovCloud, 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, DevOps, 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, LangGraph, and LangChain.
• Strong knowledge of cloud AI services, including AWS GovCloud, Google GovCloud, 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.