Sr. Ai Java Developer

Explicitly requires vibe coding skills — mentions AI-assisted development workflows and AI coding assistants.
About the RoleSenior AI Java Developer to design and build AI-powered enterprise applications using Java, Spring, and modern microservices architectures. The hybrid role (downtown Toronto) emphasizes integration of LLMs, Generative AI, cloud AI services, and AI-assisted development workflows while maintaining production-grade engineering standards.
Job DescriptionRoleWe are seeking a Senior AI Java Developer to design, develop, and integrate AI-powered enterprise applications. The role focuses on leveraging Large Language Models (LLMs), Generative AI frameworks, and cloud AI services while building scalable Java-based microservices and backend services.
Key Responsibilities
Design, develop, and deploy AI-powered enterprise applications using Java.
Build intelligent applications utilizing Generative AI and LLMs.
Use AI-assisted development tools (AI coding assistants and code generation agents) to accelerate development while ensuring code quality, security, and maintainability.
Integrate AI capabilities with enterprise systems through REST APIs and microservices.
Develop backend services using Spring Boot and Spring AI.
Implement prompt engineering, AI orchestration, and agent-based workflows.
Build scalable APIs to consume OpenAI, Azure OpenAI, Google Vertex AI, AWS Bedrock, or similar platforms.
Collaborate with business analysts, architects, UX teams, and DevOps engineers.
Optimize AI application performance, scalability, security, and cost.
Participate in code reviews, testing, and CI/CD implementation.
Stay current with emerging AI technologies and recommend improvements.
RequirementsMust have / Core technical skills
Hibernate / JPA
REST APIs, Microservices
Maven or Gradle
Experience with LLMs, Generative AI, Prompt Engineering, AI Agents
Experience with OpenAI / Azure OpenAI APIs
CI/CD and automation: GitHub Actions or Jenkins;
Terraform preferred
Qualifications
Bachelor’s degree in Computer Science or related field
3-8+ years of Java development experience
2+ years working on AI/GenAI solutions preferred
Strong knowledge of software architecture and distributed systems
Excellent analytical and communication skills
Preferred / Nice-to-have
Kafka / event streaming
Elasticsearch
AWS Bedrock
Observability tools: Grafana, Prometheus
Experience with Git and Agile/Scrum methodologies
Understanding of AI governance, responsible AI, data privacy, model monitoring, AI observability
CI/CD pipelines and DevSecOps practices
Familiarity with enterprise integration patterns and API management
Location & Schedule
Hybrid: must be in downtown Toronto and/or client office a minimum of 4 days per week (subject to change).
SkillsSoftware Architecture Distributed Systems System Design Prompt Engineering AI-assisted Development Analytical Skills Communication Collaboration CI/CD DevOps DevSecOps practices Performance Optimization Scalability Observability Agent-based Workflows
Experience LevelSenior
USD 80,000 - 130,000/year
Employment TypeFull-time
Hybrid - downtown Toronto (minimum 4 days/week)
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