AI​/ML Engineer; GenAI, LLM, Java

Location:

Toronto, ON

Role Overview

We are seeking a highly skilled Senior AI Developer to join the technology team and drive the acceleration of AI-driven solutions. The ideal candidate should have expertise in AI/ML, Large Language Model (LLM) integration, and workflow automation, combined with hands-on experience in Java and Spring Framework.

This role focuses on designing, implementing, and scaling AI agents and intelligent workflows to enhance product capabilities and operational efficiency.

• Lead the design and development of AI-powered solutions including:

  • AI agents
  • Chatbots
  • Intelligent automation workflows

• Integrate LLMs such as:

  • GPT
  • Cohere
  • Open-source models

• Enable advanced capabilities in:

  • Natural Language Processing (NLP)
  • Decision-making
  • Predictive analytics
• Integrate AI capabilities into existing Java/Spring-based applications

• Collaborate with:

  • Developers
  • Data Scientists
  • Product Managers
• Define AI strategy, roadmap, and technical requirements

• Optimize AI workflows for:

  • Scalability
  • Performance
  • Cost-efficiency
• Leverage Oracle databases for data management and retrieval
• Mentor junior developers and promote AI/ML best practices
• Stay updated on emerging AI technologies and assess applicability

• Ensure compliance with:

  • Data privacy standards
  • Security requirements
  • Ethical AI practices

• Strong expertise in:

  • AI/ML
  • Generative AI
  • LLM integration
  • Workflow automation

• Hands-on experience with:

  • Java
  • Spring Framework

• Experience integrating:

  • GPT models
  • Cohere
  • Open-source LLMs

• Strong understanding of:

  • NLP
  • Predictive analytics
  • AI workflow orchestration

• Experience with :

  • MLOps
  • CI/CD pipelines
  • Production model deployment

• Knowledge of:

  • Microservices architecture
  • Event-driven systems
• Oracle database experience
• Strong collaboration and mentoring skills

• Understanding of:

  • Data privacy
  • Security
  • Ethical AI standards

• Contributions to open-source AI projects
• Publications or research in AI
• Exposure to enterprise AI governance frameworks
• Experience building scalable AI platforms