Applied AI Engineer

About the role

As a Applied AI Engineer, you will be instrumental in designing, building, and scaling our enterprise-level systems. Your expertise will be crucial in developing cutting-edge solutions that leverage the latest in AI and machine learning.

• Lead the design and development of robust, scalable, and cloud-native software architectures.
• Implement complex features and functionalities using Python and modern development frameworks and best practices.
• Develop sophisticated Agentic Workflows leveraging leading industry frameworks.
• Apply your deep understanding of Deep Learning concepts (e.g., Stochastic Gradient Descent, Back propagation) and Machine Learning fundamentals (e.g., clustering, classification, regression, tree-based algorithms) to solve real-world problems.
• Design scalable user interface using latest JavaScript frameworks.
• Leverage your knowledge of Natural Language Processing (NLP) fundamentals (e.g., BERT, Bag-of-Words, Part-of-speech tagging, entity recognition, sentiment analysis) to extract insights from diverse datasets.
• Drive the implementation of Generative AI solutions, demonstrating expertise in Transformer models, embeddings, tokenization, prompt engineering, prompt tuning, and a thorough understanding of Retrieval Augmented Generation (RAG) pipelines.
• Strategize and implement various data chunking strategies and work with diverse vector database technologies and their underlying similarity search techniques.
• Optimize RAG pipelines and ensure system observability and monitoring using MLOps practices and relevant tools.
• Utilize and evaluate solutions with various AI model evaluation methodologies and tools.
• Navigate and prioritize multiple complex requirements in a fast-moving environment.
• Contribute to a positive and collaborative team culture, driving innovation and continuous improvement.

• Junior & Mid-level experience as a hands-on software engineer, with a proven track record of building and deploying enterprise-level, cloud-native, and scalable systems.
• Advanced proficiency in Python and its associated development ecosystem.
• Demonstrable experience developing Agentic Workflows using industry-leading frameworks.
• Solid understanding of Deep Learning and Machine Learning fundamentals.
• Strong grasp of Natural Language Processing (NLP) fundamentals.
• In-depth knowledge of Generative AI fundamentals, particularly RAG pipelines and related technologies (e.g., transformer models, embeddings, tokenization, prompt engineering/tuning, chunking strategies, vector databases, similarity searches).
• Experience with RAG pipeline optimization techniques and familiar with MLOps, observability, and monitoring tools.
• Proficiency in using evaluation metrics for AI models.
• Exceptional problem-solving skills and the ability to adapt to evolving project requirements.
• A positive attitude, a drive for continous learning, and a desire to grow with a disruptive company.
• Ability to effectively manage and navigate multiple concurrent projects and priorities.

• Experience developing multi-agent systems and implementing Agentic reasoning design patterns like ReAct, Plan and Solve Prompting, or Program Aided Reasoning (PAR).
• Demonstrated work on Text-to-SQL, function/tool calling, and integrations with external third-party tools.
• Experience with Small Language Model (SLM) fine-tuning on domain-specific data and embedding model tuning.
• Understanding of agentic protocols like Model Context Protocol (MCP) and A2A.
• Experience with web development using latest JavaScript frameworks for building robust user interfaces.

Employment Type: Full-Time

Years of

Experience:

2 - 5 Years

Work Location: 1275 Av. des Canadiens-de-Montréal L'Avenue, Montreal, Canada - Hybrid (2 days a week in office)

We offer a collaborative and dynamic work environment where your contributions will directly impact our business. You'll have the opportunity to grow professionally and gain valuable hands-on experience in AI and machine learning.