Summary:

- Location: Montreal

- Work Mode: Hybrid (day 1 onboarding onsite, in-office presence required 3x/week)

- This role is for an existing vacancy.

Responsibilities:

- Work on multiple initiatives within the Research Technology department.

- Develop new applications based on a microservices architecture designed for cloud-native deployments.

- Collaborate with Agile/Scrum teams to deliver solutions efficiently.

- Integrate AI capabilities into business workflows and applications.

Requirements:

- Minimum 5 years of hands-on experience with Java.

- Strong knowledge of Spring Framework and Spring Boot for enterprise application development.

- Experience with Spring Web Services and understanding of Apache CXF framework.

- Strong unit testing and Test-Driven Development (TDD) experience using JUnit.

- Valuable understanding of relational database concepts, SQL optimization, and data modeling with PostgreSQL.

- Good knowledge of NoSQL concepts and CRUD operations with MongoDB.

- Understanding of Generative AI concepts, Large Language Models (LLMs), and AI-assisted software development.

- Experience using AI coding assistants such as GitHub Copilot or Microsoft Copilot.

- Familiarity with Prompt Engineering and effective AI interaction techniques.

- Experience integrating applications with AI services and APIs (e.g., Azure OpenAI, OpenAI, Anthropic).





- Knowledge of AI governance, responsible AI principles, and secure handling of enterprise data.

- Robust understanding and practical application of SOLID principles in software design.

- Familiarity with key Java design patterns such as Singleton, Factory, Template, and Strategy.

- Understanding of microservices architecture, event-driven systems, API-first design, and scalable cloud-native applications.

- Excellent communication and stakeholder collaboration skills.

- Strong work ethic and ownership mindset.

- Continuous learning mindset with interest in emerging technologies, particularly AI and automation.

- Strong problem-solving and analytical skills.

Preferred Skills:

- Experience with Docker and Kubernetes.

- Familiarity with Cloud Technologies (Azure preferred), Git, Angular, Ext JS, CI/CD Pipelines (Jenkins, GitHub Actions, Azure DevOps).

- Experience with AI/ML Platforms and Services.

- Experience with design patterns such as Observer, Builder, Adapter, Facade, Dependency Injection.

- Experience with LangChain, Semantic Kernel, AutoGen, MCP (Model Context Protocol), or similar AI frameworks.

- Exposure to vector databases, embeddings, and semantic search technologies.

- Experience implementing AI-powered automation, observability, or operational intelligence solutions.

📌 Application Development (Montreal)
🏢 Axelon Services
📍 Montreal