AI Engineer Full 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 GitHub Copilot or similar AI coding assistants for code generation refactoring unit tests and documentation.
• Implement GenAI across all SDLC stages-requirements design coding testing DevOps 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 DevOps 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 GitHub Copilot or similar AI coding tools.
• Deep understanding of AI-Driven SDLC (AIDLC) concepts and productivity acceleration.
• Experience with REST APIs JSON and SQL/NoSQL databases.
• Exposure to Agile and DevOps practices.
• Demonstrated proficiency with AI development tools such as GitHub 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.
• Bachelors or Masters 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.