Senior AI Java Application Developer

Job Title:

Senior AI Java Application Developer (Java Stack)

Location:

Toronto, ON (Hybrid – 4 Days Work From Office)

Job Summary We are looking for a

Senior AI Application Developer

with

8+ years of experience

in Java-based enterprise application development and AI-powered solutions. The ideal candidate will have strong expertise in

Java, Spring Boot, AI application development, Agentic AI workflow orchestration, TypeScript, REST APIs, Microservices, and relational databases . Experience with cloud platforms, containerization, and CI/CD is highly preferred.

Required Skills

8+ years of experience in Java application development.

Strong expertise in

Java, Spring Boot, and Microservices Architecture .

Experience developing

AI-powered enterprise applications .

Hands-on experience with

AI Agentic Workflow Orchestration

and multi-agent systems.

Strong experience in

TypeScript

and modern UI frameworks.

Experience designing and developing

RESTful APIs .

Strong knowledge of

Oracle, SQL Server, and PostgreSQL

databases.

Experience with asynchronous/background task processing (Django background tasks or similar workflow automation tools).

Experience with

GitHub Actions

and CI/CD pipeline implementation.

Experience with cloud platforms ( Azure, AWS, or GCP ).

Hands-on experience with

Docker and Kubernetes .

Strong understanding of Agile/Scrum methodologies.

Excellent communication and collaboration skills.

Key Responsibilities

Design, develop, test, and maintain AI-enabled enterprise applications using

Java and Spring Boot .

Build scalable AI application architectures and implement enterprise-grade solutions.

Develop and orchestrate

AI Agentic workflows

for complex multi-agent systems.

Design and develop RESTful APIs and Microservices integrating enterprise and AI platforms.

Build responsive user interfaces using

TypeScript

and modern front-end technologies.

Develop and optimize asynchronous/background processing workflows.

Design, optimize, and maintain Oracle, SQL Server, and PostgreSQL databases.

Implement CI/CD pipelines using GitHub Actions for automated testing and deployment.

Deploy applications across on-premise and cloud environments using Docker and Kubernetes.

Perform code reviews and ensure application quality, scalability, performance, and maintainability.

Participate in Agile ceremonies including sprint planning, stand-ups, retrospectives, and backlog refinement.

Create and maintain technical documentation for applications, deployments, and operational procedures.

Preferred Qualifications

Experience delivering enterprise AI solutions in the Banking or Financial Services domain.

Exposure to cloud-native architectures and AI integration frameworks.

Strong problem-solving, analytical, and debugging skills.

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