AI Engineer / Ingénieur IA

Klever Programmatic Inc. • Montreal, QC

69d • Hybrid

About The Position

Seeking a passionate individual to join our existing team of AI specialists and drive the development of agents and other AI solutions. Leverage diverse datasets to enhance decision-making and commercial focus. Join us to create human-like outputs and be at the forefront of AI innovation. This role is hybrid based in our Montreal office.

Requirements

• Minimum of 3 years of hands-on experience in implementing AI solutions.
• Proven knowledge of MLOps/AI platforms and workflows in real-world applications.
• Proficiency in the Python programming language.
• Familiarity with SQL and data modelling principles.
• Strong understanding of data manipulation, feature engineering, and data preprocessing techniques.
• Experience with developing batch data processing applications, monitoring data processing applications and orchestrating data processing applications.
• Familiarity with software development best practices, version control systems (Git), and agile methodologies.
• Understanding of different data storage formats (JSON, parquet, etc.).
• Good knowledge of concepts and best practices related to ML/AI.
• Proficiency and interest in using coding agents: Claude Code, Codex, Copilot, etc.
• Strong communication skills
• Creative thinker with excellent problem solving abilities
• Ability to work efficiently in a fast-paced, agile environment
• Self-motivated and entrepreneurial, but can also work well in a team.
• Detail-oriented and organised, demonstrated ability to work independently.

Nice To Haves

• Familiarity with Kedro, LangChain, CrewAI, TensorFlow and/or PyTorch.
• Terraform knowledge for infrastructure-as-code.
• Experience with machine learning models and algorithms that address complex business challenges.
• Familiarity with containerization (e.g., Docker).
• Experience with big data technologies and distributed computing.
• Domain knowledge about the advertising and marketing industries.

Responsibilities

• Collaborate with cross-functional teams, including data scientists, domain experts, and software engineers, to understand data requirements and provide the necessary infrastructure and support.
• Implement data pipelines that facilitate preprocess, clean, and prepare large datasets for various purposes: feeding AI agents and our platform’s visualizations.
• Work with agent communication and tool/data access patterns (e.g. Agent2Agent (A2A), MCP, agent skills, or similar emerging standards)
• Build data pipelines hosted in Google Cloud with technologies like BigQuery, Vertex AI, Firestore (NoSQL database), external APIs and other cloud services.
• Develop APIs and MCPs for model-serving and LLM-powered systems.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed