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Added 4 mins ago
Architecte en ingénierie système II – Conception de systèmes refroidisseurs et CVC/R - System Engineering Architect II – Chiller & HVAC/R System Design
Smardt
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Full-time
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Added 18 mins ago
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Java Team Leader
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Scrum Master
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SharePoint / Power Platform Technical Specialist
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Assistant Vice-President, Technology Lead, Health
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Toronto, ON · Waterloo, ON · Montreal, QC · Halifax, NS · NB · AB · BC · Sun Life Waterloo King
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Lead a transformational technology organization powering health and benefits experiences for millions. As the Assistant Vice-President (AVP), Technology Lead, you will own one of Sun Life…
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Sr Analyst, Enterprise IT VMO
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The Sr Analyst, Enterprise IT VMO is a senior individual contributor within McKesson Technology's Vendor Management Office, Operational Excellence & Governance division. The role is…
Added 18 mins ago
Senior Industry Analyst & Public Relations Specialist
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Ottawa, ON · Waterloo, ON
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QNX enhances the human experience and amplifies technology-driven industries, providing a trusted foundation for software-defined businesses to thrive. The business leads the way in…
Added 18 mins ago
Senior Industry Analyst & Public Relations Specialist
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Ottawa, ON · Waterloo, ON
Full-time
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Visionsoft Inc.

Full Stack Engineer with AI

Montreal, QC, Canada

Job type: Contract
Apply by: Oct 28, 2026
Experience: 8+ years of software engineering experience, including hands-on delivery of production or production-like AI-enabled applications.
Posting language: English
Posted: Sep 28, 2026

Apply About employer

Applications open in a new tab.

Original job description

About the Role

We are looking for a mid-level or senior Full Stack Engineer with AI engineering experience to join Client’s team. Angular and Java are the primary technical skills for this role, supported by strong CI/CD and modern software delivery experience. You will design, build, test, deploy, and operate secure, high-quality applications across the full technology stack. The role is primarily focused on Angular front-end development, Java and Spring Boot backend engineering, RESTful APIs, and CI/CD automation, while applying LLM capabilities to deliver AI-driven user experiences. You will translate business problems into pragmatic solutions and collaborate with engineering, product, architecture, cybersecurity, and business teams to ship reliable features.

Responsibilities

Design, build, and operate AI-driven applications that use LLMs for natural-language interaction, intelligent search, summarization, content generation, and workflow automation.
Develop retrieval-augmented generation (RAG) solutions that securely connect models to enterprise data using embeddings, vector search, metadata filtering, citations, and access controls.
Integrate commercial or internally hosted models through secure APIs and implement prompt management, structured outputs, tool or function calling, context management, and streaming responses.
Create evaluation datasets and automated tests for answer quality, groundedness, safety, latency, reliability, and cost; use production telemetry and user feedback to improve the system.
Build intuitive Angular interfaces and data visualizations that allow users to search, filter, review, and interact with risk, metric, policy, and control information.
Design scalable Java and Spring Boot services, RESTful APIs, and event-driven or microservices-based components with appropriate authentication and authorization.
Use Claude, GitHub Copilot, and similar AI engineering tools responsibly for code exploration, implementation, refactoring, test generation, debugging, review, and documentation while independently validating generated output.
Apply software engineering best practices, including code review, automated testing, CI/CD, observability, secure development, performance tuning, and production support.
Partner with product managers, UX/UI teams, architects, data specialists, and business stakeholders to identify high-value use cases and translate requirements into measurable technical outcomes.
For senior candidates, lead solution design, mentor engineers, influence standards, assess trade-offs across model quality, latency, cost, security, and maintainability, and drive delivery across teams.

Qualifications

8+ years of software engineering experience, including hands-on delivery of production or production-like AI-enabled applications.

Required Skills

Primary skills: Strong full-stack development experience with Angular and TypeScript, Java and Spring Boot, RESTful APIs, distributed systems, and secure application design.
Practical experience with LLM application patterns, model APIs, RAG, embeddings, vector search, prompt design, structured outputs, tool calling, evaluation, observability, and AI security.
Hands-on use of Claude, GitHub Copilot, or comparable AI coding assistants, with disciplined review, testing, and security practices.
Strong CI/CD and DevOps experience covering automated builds, testing, code-quality and security checks, deployment, release controls, and production monitoring; familiarity with Docker, Kubernetes, and cloud-native platforms is preferred.
Experience with Python, SQL or NoSQL databases, data integration, caching, and data-intensive applications.
Strong problem-solving, communication, and stakeholder-management skills; senior candidates should also demonstrate architecture leadership, delivery ownership, and mentoring experience.

Apply About employer

More about this job

Responsibilities

Design, build, test, deploy, and operate secure full-stack applications, including Angular interfaces, Java and Spring Boot services, APIs, and AI features using LLMs and RAG. Collaborate across product and engineering teams to deliver reliable solutions, improve them through evaluation and production feedback, and, at the senior level, lead design, mentor engineers, and guide delivery.

Requirements

Requires 8 or more years of software engineering experience, including production or production-like AI application delivery, with strong Angular, TypeScript, Java, Spring Boot, API, distributed systems, and secure application skills. Candidates should have practical LLM and RAG experience, use AI coding assistants responsibly, and bring CI/CD and DevOps expertise; Python, databases, cloud-native platforms, and senior-level leadership experience are also relevant.

Skills

Angular
TypeScript
Java
Spring Boot
RESTful APIs
Large Language Models
Retrieval-Augmented Generation
Embeddings
Vector Search
Prompt Engineering
CI/CD
DevOps
Python
SQL and NoSQL Databases
Docker
Kubernetes

Visa sponsorship

Not detected in the job text

Keywords

Angular
TypeScript
Java
Spring Boot
RESTful APIs
Distributed Systems
Large Language Models
Retrieval-Augmented Generation
Embeddings
Vector Search
Prompt Management
Structured Outputs
Tool Calling
Model Evaluation
AI Security
Claude
GitHub Copilot
CI/CD
DevOps
Docker
Kubernetes
Cloud-Native Platforms
Python
SQL
NoSQL
Data Integration
Caching
Microservices
Event-Driven Architecture
Observability

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