AI Engineer - Recommendation Engine

GuruLink; Montreal; On-site; CAD 90,000 - 140,000; Full time

Job summary

A tech company focused on AI in Montreal is seeking an experienced AI Engineer to develop recommendation engines for their next-generation social platform. The ideal candidate has over 3 years of experience in applied ML/AI, specifically in recommendation systems, and is skilled in Python. This role involves collaboration with leadership to deliver innovative features for users.

Qualifications

• 3+ years of applied ML/AI experience, especially in recommendation systems.
• Experience with world-class recommendation engines.
• Clean Python code and familiar with the full ML lifecycle.

Responsibilities

• Architect and deploy recommendation engines for various systems.
• Design and optimize personalization pipelines.
• Collaborate with CTO and product managers for live features.

Skills

Applied ML/AI experience

Real-time recommender systems

Collaborative filtering

Content-based filtering

Python programming

Job description

Location: Montreal, Quebec

Overview

Our client is building a next-generation, AI-native social platform designed with safety and creativity at its core. Their mission is to provide a secure environment where young audiences can create, collaborate, and grow. The client’s next phase is building personalized experiences that evolve with each user’s interests and moods. Backed by top investors with a $5 million USD Seed, the client is hiring a mission-aligned AI engineer to help power the future of personalized content and community.

Responsibilities

• Architect, build, and deploy recommendation engines for video feeds, livestreams, and other systems.
• Design and optimize personalization pipelines (embeddings, clustering, collaborative filtering, etc.).
• Collaborate with the CTO, AI engineers, and product managers to deliver live features.
• Contribute to shaping the early technical foundation of the AI team, including tools, processes, and experimentation frameworks.

Tech Stack

• Languages: Python, Node.js
• AI & Personalization: Python, HuggingFace Transformers, FastAPI
• AI Integration: OpenAI, Anthropic Claude, and custom LLM pipelines
• Clients: Native iOS & Android apps via secure backend APIs

Must Have Skills

• Bring 3+ years of applied ML/AI experience, particularly in recommendation and personalization systems.
• Have contributed to applications known for world-class recommendation engines (e.g., video, social, streaming, or e-commerce platforms).
• Have built or contributed to real-time recommender systems (feeds, match suggestions, etc.).
• Possess a track record of creating production-ready AI pipelines.
• Are experienced in collaborative filtering, content-based filtering, RNNs, and hybrid approaches.
• Have worked with Transformers (generative/session-based recommenders), reinforcement learning-based recommenders, or federated recommender systems.
• Write clean Python code, are comfortable with modern tooling, and have owned the full ML lifecycle from prototype through production deployment.