Senior Java Ai Engineer

Location:
Hybrid, MississaugaLanguage:
Strong written and verbal English communication skills are required.Duration:
ContractBackground Check Requirement:
Background check is required prior to onboarding.About the Opportunity
Are you passionate about combining enterprise Java development with the latest advancements in Generative AI? This is an exciting opportunity to help shape intelligent, secure, and scalable applications by integrating AI capabilities into modern Java and Spring Boot microservices running on Microsoft Azure.You will collaborate with experienced engineers, cloud specialists, and AI practitioners within a technology-driven environment where innovation, knowledge sharing, and continuous improvement are encouraged. Your work will directly influence the delivery of next-generation enterprise solutions that enhance business outcomes through AI.Whats In It for You
Join a collaborative team focused on innovation and continuous learning.Gain hands-on experience delivering enterprise-grade AI solutions using modern Azure technologies.Work with emerging Generative AI tools and frameworks in a highly technical environment.Contribute to meaningful projects that encourage professional growth and technical leadership.Your Responsibilities
You'll design and develop Spring Boot microservices and REST APIs while integrating Large Language Models using the Spring - AI framework.You'll build, deploy, and operationalize AI solutions using the Azure AI Foundry SDK, including agents, prompts, and evaluation runs.You'll configure Copilot Studio, including user authentication, custom REST actions, and orchestration topics.You'll secure enterprise APIs using OAuth 2.0 and JWT, ensuring compliance with security best practices.You'll manage CI/CD pipelines and application deployments through Azure DevOps.You'll collaborate with cross-functional teams to deliver scalable, intelligent, cloud-native applications.Skills and Qualifications
7+ years of progressive software engineering experience with Java and Spring Boot microservices.Strong experience developing cloud-native applications within Microsoft Azure.Hands-on experience with Spring AI, Azure AI Foundry SDK, and Copilot Studio.Solid understanding of API security, including OAuth 2.0 and JWT authentication.Working knowledge of the Model Context Protocol (MCP), including building and consuming MCP servers and tools for agent-to-system integration.Strong experience with Docker containerization and modern CI/CD practices.Knowledge of prompt engineering and Retrieval-Augmented Generation (RAG) concepts, along with excellent problem-solving and collaboration skills.We appreciate the time and effort all applicants invest in their submissions. Please note that only candidates shortlisted for this role will be contacted directly. However, your profile will remain under consideration for future opportunities that align with your experience and career goals. All qualified applicants will receive fair consideration for employment. We welcome individuals of all backgrounds, experiences, and identities including those who identify as women, members of racialized groups, Indigenous Peoples, persons with disabilities, and 2SLGBTQIA+ communities. If you require an accommodation, please review accessibility policy and reach out to our accessibility officer with any questions. Our human recruiters review all applications and always make the final hiring decision. On occasion, we also use AI-assisted tools to help review applications.
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