Application Development
axelon services • Montreal, QC
2 hours ago
Job type
- Full-time
Job description
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.
- Good 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.
- Strong 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.