AI Engineer - Sack Developer

Role: AI Engineer - Full Sack Developer

Location:

Toronto, ON (4 days onsite, 1 day remote)
Job Type: Contract

Overview of the Role
As a Senior Java Engineer specializing in GenAI and AI-Driven Software Development Lifecycle (SDLC), you will play a pivotal role in designing, developing, and modernizing enterprise-grade applications. Leveraging cutting-edge technologies such as Java, Spring Boot, Apache Kafka, and AI-assisted development tools like Copilot, you will accelerate software delivery, embed GenAI capabilities across the SDLC, and champion an AI-first engineering culture.

This role offers the opportunity to drive innovation, foster technical excellence.

Detailed Responsibilities
Core Engineering (Java / Microservices)

• Design, develop, and maintain high-performance microservices using Java, Spring Boot, and RESTful APIs.
• Architect and implement event-driven and streaming solutions with Apache Kafka.
• Ensure scalability, resilience, security, and superior performance for enterprise workloads.
• Adhere to clean code standards, design patterns, and microservices best practices.

AI-Driven SDLC & Copilot Integration

• Utilize Git Hub Copilot or similar AI coding assistants for code generation, refactoring, unit tests, and documentation.
• Implement GenAI across all SDLC stages-requirements, design, coding, testing, Dev Ops, and L2/L3 support.
• Advocate for and promote AI-assisted code reviews, defect reduction, and productivity enhancement.
• Act as an AI evangelist by coaching and mentoring teams on effective Copilot and GenAI utilization.
• Apply advanced expertise in Agentic Frameworks, Model Context Protocol implementation, multi-agent orchestration, context handling, and related AI domains.

GenAI & Intelligent Automation

• Integrate GenAI models or AI services into applications to enable intelligent workflows, recommendations, and process automation.
• Support AI-enabled testing, defect triage, and root cause analysis (RCA).
• Collaborate with AI platform teams to uphold governance, security, and Responsible AI practices.

Delivery & Collaboration

• Operate within Agile/Scrum teams to deliver incremental business value.
• Partner with architects, product owners, QA, and Dev Ops teams to ensure seamless delivery.
• Mentor and guide junior engineers on modern Java, Kafka, and AI-enabled development methodologies.

Skill Requirements
Must Have

• 6+ years of hands-on experience in Java application development.
• Strong expertise in Java 8+, Spring Boot, and Microservices architecture.
• Proven experience with Apache Kafka (producers, consumers, event streaming).
• Practical use of Git Hub Copilot or similar AI coding tools.
• Deep understanding of AI-Driven SDLC (AIDLC) concepts and productivity acceleration.
• Experience with REST APIs, JSON, and SQL/No
  
  SQL databases.
• Exposure to Agile and Dev Ops practices.
• Demonstrated proficiency with AI development tools such as Git Hub Copilot, GPT, and Claude.
• Advanced technical knowledge in Agentic Frameworks, Model Context Protocol and its implementation, multi-agent orchestration, context handling, or closely related domains.
• Bachelor's or Master's degree in Computer Science, Engineering, or a related technical field.

Other Requirements (Optional)

• Experience integrating GenAI/LLM-based services into enterprise applications.
• Exposure to cloud platforms (AWS, Azure, GCP).
• Familiarity with CI/CD pipelines, automated testing frameworks, and observability tools.
• Experience in the Banking or Financial Services domain.
• Relevant certifications in Java, cloud technologies, or AI/ML.