AI Engineer (Mid-Level)

About the Role

Trellion is looking for a Mid-Level AI Engineer to design, build, and deploy production-grade machine learning systems that power matching, ranking, and decision engines for hiring. This is applied AI at scale — not a research role — and you will work on models that affect real hiring outcomes.

About Trellion

Trellion builds the intelligence layer for modern hiring using applied AI to decode resumes, job descriptions, and human potential, turning messy signals into actionable hiring decisions. The company values signal over noise, real systems over slideware, and shipping over storytelling.

Responsibilities

• Build production ML systems for resume and job understanding using NLP and LLMs
• Implement embedding systems and vector search for semantic matching
• Develop ranking and scoring models for candidate-job fit
• Extract structured data from unstructured documents
• Perform model evaluation, monitoring, and continuous improvement
• Integrate ML systems into backend services and production workflows

Requirements

Technical Requirements (strong in most of the following):

• Python in production environments
• Machine learning fundamentals: classification, ranking, clustering
• NLP and modern LLM pipelines
• Embeddings, vector databases, and semantic search
• Model evaluation, validation, and performance tuning
• Data pipelines and feature engineering
• REST APIs and ML service integration
• Git, Docker, and deployment workflows

Nice to have (not required):

• PyTorch or TensorFlow
• Experience with retrieval-augmented generation (RAG)
• Recommendation systems or search ranking
• Experience with hiring, HR tech, or marketplaces

What We Care About

• Ability to turn messy data into clean signals
• Understanding tradeoffs between accuracy, latency, and cost
• Clear explanation of model decisions
• Ship, measure, and iterate on production systems
• Ownership and proactivity

Compensation & Benefits

• $120,000+ CAD base salary, based on experience
• Equity participation
• Hybrid work in Montreal
• Real ownership over production systems

How to Apply

Send your resume, GitHub, and 1–2 examples of production systems you’ve built to [email protected]. Note: If your experience is limited to academic projects only, this role is likely not a fit.