Applied AI Engineer

About Ampliwork, Inc

Ampliwork builds Enterprise-Grade AI Agents that amplify Human Potential™ to drive

business productivity and growth since 2017. Ampliwork’s AI Agents streamline complex

multi-step workflows in highly regulated industries such as Financial Services.

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 continuous 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: Contractor Full-Time 3-6 Months

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.

If you're a motivated and detail-oriented individual who's eager to contribute to cutting-edge technology, we encourage you to apply.