Senior Java Developer (with LLM expertise)

Miratech1; Toronto; Hybrid; CAD 150,000 - 190,000; Full time

Benefits offered by this job

Health insurance

Relocation program

Hybrid work model

Career development

Job summary

Miratech is seeking a Senior Java Developer with GenAI expertise to lead design, development, and integration of core banking systems. You will implement Java/Spring Boot microservices, enable LLM-driven features, and shape AI adoption across the team in a hybrid Toronto setting.

You will drive API-first patterns, secure integrations, and modern data architectures, working with Kafka, containers, and cloud platforms. A strong background in Java and AI tools is essential.

Qualifications

• 7+ years of experience designing and implementing large-scale enterprise applications.
• Deep expertise in Java, Spring Boot, RESTful APIs and gRPC services.
• Strong proficiency in Python, prompt patterns, LLM orchestration frameworks such as LangChain or LlamaIndex, and working with vector databases.
• Hands-on experience with Kafka, RDBMS/SQL, NoSQL and high-performance caching architectures.
• Experience with CI/CD pipelines (Jenkins, GitHub Actions), Docker/Podman, OpenShift/Kubernetes and cloud platforms.
• Solid understanding of application security, including OAuth2 and JWT.
• Bachelor's degree in Computer Science, Software Engineering, Information Technology or a related field, or equivalent practical experience.

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.

Skills

Java

Spring Boot

RESTful APIs

gRPC

Python

LangChain/LlamaIndex

Vector databases

Kafka

CI/CD

Docker/Podman

Kubernetes/OpenShift

OAuth2/JWT

Education

Bachelor’s degree in Computer Science/Software Engineering/IT or related field

Tools

Docker/Podman

OpenShift/Kubernetes

Azure

Job description

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.

• 7+ years of experience designing and implementing large-scale enterprise applications.
• Deep expertise in Java, Spring Boot, RESTful APIs and gRPC services.
• Strong proficiency in Python, prompt patterns, LLM orchestration frameworks such as LangChain or LlamaIndex, and working with vector databases.
• Hands‑on experience with Kafka, RDBMS/SQL, NoSQL and high-performance caching architectures.
• Experience with CI/CD pipelines (Jenkins, GitHub Actions), Docker/Podman, OpenShift/Kubernetes and cloud platforms.
• Solid understanding of application security, including OAuth2 and JWT.
• Bachelor's degree in Computer Science, Software Engineering, Information Technology or a related field, or equivalent practical experience.

Nice to have:

• Experience in banking, financial services or another regulated industry.
• Experience with production GenAI solutions, multiple LLM providers, LLM evaluation and agentic workflows.
• Familiarity with AI governance, model risk management, privacy controls and responsible AI practices.
• Experience with Redis, messaging and streaming services, and Infrastructure as Code.
• Experience with security testing, DevSecOps, Agile/Scrum and GitHub Copilot.
• Experience mentoring developers and contributing to architecture standards, technical governance and engineering strategy.

We offer:

• Culture of Relentless Performance: join an unstoppable technology development team with a 99% project success rate and more than 30% year-over-year revenue growth.
• Competitive Pay and Benefits: enjoy a comprehensive compensation and benefits package, including health insurance, and a relocation program.
• Work From Anywhere Culture: make the most of the flexibility that comes with remote work.
• Growth Mindset : reap the benefits of a range of professional development opportunities, including certification programs, mentorship and talent investment programs, internal mobility and internship opportunities.
• Global Impact: collaborate on impactful projects for top global clients and shape the future of industries.
• Welcoming Multicultural Environment: be a part of a dynamic, global team and thrive in an inclusive and supportive work environment with open communication and regular team-building company social events.
• Social Sustainability Values: join our sustainable business practices focused on five pillars, including IT education, community empowerment, fair operating practices, environmental sustainability, and gender equality.

* Miratech is an equal opportunity employer and does not discriminate against any employee or applicant for employment on the basis of race, color, religion, sex, national origin, age, disability, veteran status, sexual orientation, gender identity, or any other protected status under applicable law.