Senior Full Stack Engineer – AI/LLM

Prolifics; Montreal (administrative region); On-site; CAD 110,000 - 170,000; Full time

Job summary

Prolifics is seeking an experienced engineer with strong full-stack development skills and hands-on experience building AI/LLM-enabled enterprise applications. The ideal candidate combines front-end and back-end expertise with practical knowledge of modern AI patterns to deliver scalable, secure solutions.

You will work with Angular, TypeScript, Java and Spring Boot, develop REST APIs, and apply RAG, embeddings, vector search, prompt engineering, structured outputs and tool calling.

Qualifications

• 8+ years of software engineering experience.
• Hands-on experience delivering production AI-enabled applications.
• Strong full-stack development experience with Angular, TypeScript, Java, Spring Boot, RESTful APIs, and Distributed systems.
• Practical experience with LLM application development, including: RAG, Embeddings, Structured outputs, Tool calling.
• Experience with AI evaluation, observability, and monitoring.
• Understanding of AI application security and secure enterprise application design.

Skills

Angular

TypeScript

Java

Spring Boot

REST APIs

Distributed systems

LLM application development

RAG

Embeddings

Structured outputs

Tool calling

AI evaluation

Observability

Monitoring

AI security

Secure coding

Automation workflows

AI integration

Cloud platforms

AI/ML frameworks

Enterprise LLM platforms

Dev productivity tools

Job description

We are looking for an experienced engineer with strong full-stack development skills and hands-on experience building AI/LLM-enabled enterprise applications.

The ideal candidate will have a strong background in Angular, TypeScript, Java, Spring Boot, REST APIs, and distributed systems, along with practical experience implementing modern AI application patterns such as RAG, embeddings, vector search, prompt engineering, structured outputs, and tool calling.

Required Skills & Qualifications

• 8+ years of software engineering experience.
• Hands-on experience delivering production or production-like AI-enabled applications.
• Strong full-stack development experience with:
• Angular
• TypeScript
• Java
• Spring Boot
• RESTful APIs
• Distributed systems
• Practical experience with LLM application development, including:
• RAG (Retrieval-Augmented Generation)
• Embeddings
• Structured outputs
• Tool/function calling
• Experience with AI evaluation, observability, and monitoring.
• Understanding of AI application security and secure enterprise application design.
• Experience integrating AI capabilities into enterprise applications and automation workflows.
• Strong understanding of software architecture, API design, scalability, and secure coding practices.

Preferred Qualifications

• Experience with cloud platforms such as AWS, Azure, or GCP.
• Experience with AI/ML frameworks and enterprise LLM platforms.
• Experience building automation workflows and AI-powered developer or business productivity solutions.
• Strong communication and problem-solving skills.