Enhance explainable semantic matching as an AI Engineer, focusing on retrieval and ranking. Join a team dedicated to producing relevant insights for live RFPs and procurement documents.

We seek an AI Engineer with expertise nurturing semantic matching between company capabilities and live requests. This role emphasizes designing retrieval pipelines, building evaluation sets, and experimenting with innovative re-ranking strategies. Collaborating closely with engineering, you will maintain production monitoring quality and ensure relevance in all evaluations.

Key Responsibilities:
• Design and optimize retrieval pipelines for procurement documents
• Build regression tests for citation accuracy and latency




• Experiment with chunking and metadata filters
• Document model changes for reproducibility
• Improve match explanations to enhance user experience

Requirements:
• 2+ years in applied ML or search engineering
• Proficient in Python with hands-on experience
• Experience with embeddings or hybrid retrieval
• Strong ability to present technical concepts
• Structured approach to offline metrics evaluation

Be part of an creative team applying AI in real-world procurement settings.
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📌 AI Engineer for Semantic Matching (Quebec City)
🏢 RFPs.ai
📍 Quebec City