Summary
✨ AI‑Generated
A technology organization is seeking a mid-to-senior Full Stack Engineer with AI engineering experience and 8+ years of software development experience. You will primarily build Angular frontends and Java/Spring Boot backends, develop REST APIs, automate CI/CD, and apply LLM capabilities to create AI-driven user experiences. The role is full-time and hybrid, with 2–3 days per week in the office.
Highlights
Earn up to $40 USD per hour while working on secure, high-quality applications across the full technology stack. The role combines Angular and Java/Spring Boot with CI/CD automation and LLM capabilities, offering opportunities to collaborate with engineering, product, architecture, cybersecurity, and business teams.
Description
This a Full Time position is Montreal, Quebec, Canada working with US clients.
We offer:
Up to $40 USD per hourWorking 40 hours per weekHybrid work (2-3 days at office)
Title: Full Stack Engineer with AI
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.
Qualifications
8+ years of software engineering experience, including hands-on delivery of production or production-like AI-enabled applications.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.
