Artificial Intelligence Engineer

Job Title

AI Developer – Business-Focused Agentic AI Specialist

Location

Canada (Remote)

Summary

This role offers a unique opportunity to be at the forefront of agentic AI innovation while delivering tangible business value through intelligent automation and strategic AI implementation.

Position Overview

We are looking for a versatile AI Developer who can bridge advanced AI/ML technologies with real‑world business challenges. This role requires a blend of strong technical expertise and business acumen to design and implement intelligent, autonomous AI agents while defining and tracking meaningful business metrics.

The ideal candidate is passionate about emerging AI architectures such as Model Context Protocol (MCP) and thrives in a fast‑evolving, innovation‑driven environment.

Key Responsibilities

• AI Development & Architecture

  • Design and build autonomous AI agents capable of reasoning, decision‑making, and multi‑step planning
  • Develop and manage multi‑agent systems with inter‑agent communication
  • Integrate large language models (LLMs) and leverage multi‑modal capabilities
  • Utilize industry‑standard APIs to consume AI/ML models
  • Contribute to tool integration within microservice‑based architectures
  • Provide constructive feedback and maintain a solution‑oriented mindset

• Business Analysis & Metrics Definition

  • Understand complex business challenges and identify AI‑driven solutions
  • Define, implement, and monitor KPIs for AI system performance and operational efficiency
  • Collaborate with data teams, DBAs, and business analysts to build dashboards and reporting solutions
  • Translate technical outputs into actionable business insights
  • Ensure ethical implementation and clear communication of AI solutions

• Microservices & System Integration

  • Integrate AI solutions into existing microservice‑based ecosystems
  • Develop scalable APIs for seamless system integration
  • Work with backend technologies including databases, message queues, and cloud platforms
  • Ensure deployment readiness, observability, and security in enterprise environments

• Innovation & Continuous Learning

  • Stay updated with emerging AI frameworks, especially MCP and related advancements
  • Participate in R&D initiatives focused on agentic AI
  • Prototype and evaluate new AI capabilities
  • Document architectures, processes, and best practices

Required Qualifications

Education & Experience

• Bachelor's degree in Computer Science, AI, Data Science, Mathematics, or related field (Master's preferred)
• 3–5 years of experience in AI/ML development
• 1–2 years of experience working with agent‑based systems
• Experience collaborating with business stakeholders or performing business analysis

Technical Skills

• Programming: Python, JavaScript/TypeScript, SQL (plus Java, C++, Rust, or Go is a bonus)
• AI Frameworks: Transformers, OpenAI API, TensorFlow, PyTorch
• Agent Frameworks: CrewAI, LangGraph, Semantic Kernel or similar
• Architecture: APIs, microservices, and system integration
• Cloud & DevOps: Google Cloud, Docker, Kubernetes, MLOps tools
• Databases: PostgreSQL, Oracle, and vector databases (e.g., Qdrant, Turbopuffer)
• Data Analysis: Strong SQL and large dataset handling

Business & Soft Skills

• Strong communication skills with the ability to simplify complex technical concepts
• Analytical thinking and problem‑solving mindset
• Experience defining and tracking KPIs and business metrics
• Collaborative approach to working with cross‑functional teams
• Familiarity with IT service management (ITIL preferred)
• Attention to detail, especially in system design and documentation

Preferred Qualifications

• Experience in telecommunications or enterprise environments
• Familiarity with MCP or similar emerging AI standards
• Certifications in AI/ML or LLM technologies
• Experience with observability tools and security compliance
• Background in business process optimization or digital transformation