We are looking for a Senior Java Developer with LLM expertise to lead the technical design, development and integration of core banking application systems for a major financial services client.
This role bridges high-scale microservices architecture with GenAI. You will help the bank build scalable, resilient, API-driven ecosystems that embed LLMs, agentic workflows, and intelligent automation into business processes. Day-to-day, you will implement solutions designed by the architecture team in Java and Spring Boot, build LLM-powered and agentic features, and shape how the wider developer group adopts AI-assisted engineering.
Working Model: This is a hybrid role requiring 2 days per week in a downtown Toronto office.
Responsibilities:
- Lead the design and delivery of Java/Spring Boot microservices, establishing API-first design principles, service-to-service communication and secure integration patterns.
- Implement solutions designed by architects, turning target designs into production-ready, well-tested services.
- Identify, prototype and build automation using AI technologies, and architect backend systems that support LLM integration, Retrieval-Augmented Generation (RAG) and vector databases.
- Build agentic workflows and design, test and refine prompts for LLM-powered features.
- Design event-driven workflows using streaming platforms such as Kafka.
- Ensure solutions fit containerized, cloud-native deployments on Docker, Kubernetes/OpenShift or Azure, delivered through CI/CD pipelines.
- Drive formal design reviews, contribute to technology stack selection, and define caching and observability strategies.
- Manage application security, including OAuth2/JWT authentication and authorization.
- Promote AI-assisted engineering across the developer group, including prompt engineering and the practical adoption of GitHub Copilot to speed up software delivery.