J&M Group
AI Developer
J&M GroupCanada1 day ago
ContractInformation Technology
We are seeking a versatile AI Developer who can bridge the gap between cutting-edge artificial intelligence development and complex business problem-solving. This role combines deep technical expertise in AI/ML with strong business analysis capabilities, focusing on developing intelligent, autonomous AI agents while understanding and defining critical business metrics. The ideal candidate will be passionate about emerging AI architectures like Multi-Modal Communication Protocol (MCP) and committed to continuous learning in this rapidly evolving field.

Key Responsibilities

 AI Development & Architecture

  • Design and develop autonomous AI agents capable of reasoning, decision-making, and multi-step planning
  • Implement multi-agent systems with inter-agent coordination and communication
  • Integrate large language models (LLMs) into agent architectures and leverage multi-modal capabilities
  • Consume AI/ML models using industry standard APIs
  • Participate in tool integration with microservice-based architectures
  • Be willing to provide constructive criticism, honest feedback, and be solution-minded in all activities

Business Analysis & Metrics Definition

  • Understand complex company and stakeholder challenges and identify how AI capabilities can provide solutions
  • Define and implement critical metrics for AI system performance, including KPIs for operational efficiency
  • Collaborate cross-functionally with inhouse data specialists, database administrators, and business analyst teams to create automated reporting solutions and system dashboards that translate complex technical metrics into actionable business insights and measurable value
  • Analyze and explain AI/ML solutions while maintaining high ethical standards

Microservices & System Integration

  • Implement and integrate existing microservice-based tools and architectures
  • Develop robust APIs for agent integration into existing applications and systems
  • Work with backend technologies including databases, message queues, and cloud platforms
  • Ensure proper deployment, observability, and security in enterprise environments

Innovation & Continuous Learning

  • Stay current with emerging AI architectures, particularly Model Context Protocol (MCP) and similar advancements
  • Participate in research and development of new approaches in agentic AI
  • Prototype new agent functionalities and evaluate latest advances in the field
  • Document developed architectures, processes, and lessons learned

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, including 1-2 years working with agent systems
  • Proven experience in business analysis or working closely with business stakeholders

Technical Skills

  • Programming Languages: Fluent in Python, JavaScript/TypeScript, SQL; familiarity with Java, C++, Rust, Go
  • AI Frameworks: Experience with Transformers, OpenAI API, TensorFlow, PyTorch
  • Agent Frameworks: Hands-on experience with AI Agent Ecosystems, such as CrewAI, LangGraph, Semantic Kernel
  • Microservices & APIs: Strong understanding of API development, microservice architecture, and system integration
  • Cloud & Infrastructure: Experience with Google Cloud, Docker, Kubernetes, MLOps tools
  • Databases: Proficiency with PostgreSQL, Oracle, Vector databases (Qdrant, Turbopuffer, etc)
  • Data Analysis: Strong SQL skills and experience with large dataset processing

Business & Soft Skills

  • Excellent communication skills with ability to translate complex technical concepts to business stakeholders
  • Strong analytical thinking and problem-solving orientation
  • Experience defining and tracking business metrics and KPIs
  • Ability to work collaboratively with cross-functional teams
  • Understanding of IT service management principles (ITIL knowledge preferred)
  • Keen attention to detail when creating diagrammatic illustrations of complex systems

Preferred Qualifications

  • Experience with telecommunications or enterprise data analysis
  • Familiarity with Multi-Modal Communication Protocol (MCP) or similar emerging standards
  • Certifications in AI frameworks or specialized LLM training
  • Experience with observability tools and security compliance
  • Background in business process optimization or digital transformation

What We Offer

  • Opportunity to work with cutting-edge AI technologies in a business-critical environment
  • Collaborative, multidisciplinary team environment with executive leadership engagement
  • Continuous learning opportunities in rapidly evolving AI landscape
  • Chance to shape AI strategy and demonstrate real-world business impact through innovative solutions

ther Requirements

  • Commitment to lifelong learning - AI is constantly evolving, requiring candidates to stay current with changes in the AI ecosystem, tools, methodologies, and industry direction
  • Willingness to quickly adapt to and implement newly emerging AI architectures and standards

Key Skills

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