Position: Full Stack Engineer with AI
Location: Montreal, QC (3 days onsite must)
Duration: 12+ Months Contract
Interview Mode: Video + Face 2 Face
Position Summary
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.
- 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.
Skills & 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.
- Strong problem-solving, communication, and stakeholder-management skills; senior candidates should also demonstrate architecture leadership, delivery ownership, and mentoring experience.
