Summary:

- Duration: 12 months

- Location: Montreal

- Work Mode: Onsite (Day 1 onboarding onsite/in office presence 3x/week)

Responsibilities:

- Design, build, and operate AI-driven applications using LLMs for natural-language interaction, intelligent search, summarization, content generation, and workflow automation.

- Develop retrieval-augmented generation (RAG) solutions connecting models to enterprise data securely.

- Integrate commercial or internally hosted models through secure APIs and implement prompt management, structured outputs, and context management.

- Create evaluation datasets and automated tests for answer quality, groundedness, safety, latency, reliability, and cost.

- Build intuitive Angular interfaces and data visualizations for user interaction 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 security measures.

- Apply software engineering best practices, including code review, automated testing, CI/CD, observability, secure development, and performance tuning.

- Partner with product managers, UX/UI teams, architects, data specialists,



and business stakeholders to translate requirements into technical outcomes.

- For senior candidates, lead solution design, mentor engineers, and influence standards.

Requirements:

- Minimum 5 years of software engineering experience, including hands-on delivery of AI-enabled applications.

- 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, and AI security.

- Hands-on use of AI coding assistants like Claude, GitHub Copilot, with disciplined review and testing practices.

- Strong CI/CD and DevOps experience with automated builds, testing, deployment, 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.

- Robust problem-solving, communication, and stakeholder-management skills.

This role is for an existing vacancy.

📌 Full Stack Engineer (Montreal)
🏢 Axelon Services
📍 Montreal