Applied AI Engineer

Worky; Montreal (administrative region); Hybrid; CAD 70,000 - 110,000; Full time

Job summary

Worky is hiring an Applied AI Engineer in Montreal, hybrid (2 days in office). The role focuses on designing, building, and scaling enterprise-grade AI-powered systems.

You will implement features in Python, develop Agentic Workflows, and apply deep learning, NLP, and Generative AI techniques to real-world data. You will drive RAG pipelines, tokenization, and embeddings, while ensuring system observability with MLOps practices.

Qualifications

• Experience as a hands-on software engineer building enterprise-scale, cloud-native systems.
• Advanced proficiency in Python and its ecosystem.
• Experience developing Agentic Workflows using leading frameworks.
• Solid understanding of Deep Learning and Machine Learning fundamentals.
• Strong NLP knowledge and Generative AI fundamentals, especially RAG pipelines.

Responsibilities

• Lead design and development of robust, scalable cloud-native architectures.
• Implement features using Python and modern frameworks.
• Develop Agentic Workflows leveraging industry frameworks.
• Apply DL/ML concepts to solve real-world problems.
• Design scalable UIs with modern JavaScript frameworks.
• Leverage NLP for Insights from diverse data sources.
• Drive GenAI solutions with Transformer models, embeddings, and tokenization.
• Optimize RAG pipelines and ensure observability with MLOps tools.
• Evaluate AI models using appropriate metrics.
• Navigate multiple priorities in a fast-moving environment.
• Contribute to a collaborative, innovative team culture.

Skills

Python

Agentic Workflows

Deep Learning

NLP

Generative AI (RAG)

MLOps/Observability

Evaluation Metrics

Project Management

Job description

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.

What you'll do

• 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, Backpropagation) 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.

What we're looking for

• 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.

Even better if you have

• 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)

Why Join Us

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.