Job Description Core

Factor is searching for a Senior AI Engineer on a permanent/full-time basis.

This position is hybrid and will require the successful incumbent to go into the office four (4) times per week.

We are seeking an experienced and technically strong Senior AI Engineer to join our clients Data, AI & Analytics team.

This role focuses on the applied use of Generative AI and Agentic AI, leveraging existing large language models (LLMs) and platforms—not building models from scratch.

As a senior member of the team, you'll take technical ownership of intelligent applications and automation tools that use LLMs to solve business problems, set best practices for the team, and mentor junior engineers, while partnering closely with business, engineering, and governance stakeholders to bring production-grade AI solutions to life. KEY RESPONSIBILITIES: Applied Generative & Agentic AI: You'll be building the agents and GenAI systems that CI's advisors, analysts, and operations teams actually rely on day to day — not prototypes that stall out after the demo.

Architect and build production-grade intelligent systems and applications using existing LLMs (e.g., OpenAI, Claude, Gemini, etc.) through API integration, prompt engineering, fine-tuning, or Retrieval-Augmented Generation (RAG).

Design, prototype, and lead development of agentic AI systems capable of multi-step reasoning, task decomposition, and tool use to automate and support complex business workflows.

Contribute to the design of a reusable, scalable AI platform (shared tooling, agent frameworks, and infrastructure) rather than one-off point solutions, so capabilities can be reused across use cases.





Building web app AI solutions using frameworks such as React or Streamlit.

Monitoring & Improvement: Set technical direction and best practices for GenAI and agentic solution design, including evaluation methodology, guardrails, and reliability of LLM-powered systems.

Drive continuous iteration and improvement of models and LLM-powered tools based on performance metrics, cost, and user feedback.

Technical Leadership & Best Practices: Lead design and code reviews, championing best practices around experimentation, reproducibility, and responsible AI.

Requirements Education: Bachelor's or Master's degree in Computer Science, Data Science, AI, Machine Learning, Statistics, or a related field.

Experience: 4–8+ years of experience in a data science, machine learning, or AI engineering role, including hands-on experience delivering production systems.

Demonstrated experience designing, building, and shipping agentic AI systems involving multi-step reasoning, task decomposition, and tool use.

Experience designing around real-world infrastructure limitations—such as rate limits, quota management, retries/backoff, and cost-per-call—when architecting LLM-powered systems at scale.

Skills: Deep understanding of prompt engineering, RAG, fine-tuning, and evaluation of generative output, including tradeoffs across approaches.





Proficiency in Python and ML/AI libraries (e.g., Scikit-learn, PyTorch, Tensor

Flow).

Hands-on skills in designing and orchestrating agentic workflows (multi-step reasoning, task decomposition, tool/function calling).

Excellent communication skills; able to present complex technical concepts clearly to both technical and non-technical stakeholders, including senior leadership.

Experience with cloud-based environments (AWS, Azure, or GCP).

Requirements Do you have the skills that will enable you to succeed in this role? You have 10 or more years of software development experience, (conceptualization, design, development and debugging) with at least two years of experience as a technical lead providing hands-on architectural design for software applications with an understanding of design patterns such as MVVM, MVC, Clean Architecture Sound technical knowledge with: Java, J2EE Web Services (REST & SOAP) Angular 8(+) Java Script Spring Boot (Micro Services) You have experience with unit-testing, code for robustness, security, usability and improving performance of the overall application You have a proficient understanding of code versioning tools, such as Git Strong command in Computer Science concepts (SOLID, etc.) Experience in integrating Third Party libraries and SDKs Experience building applications that consume web services and REST interaction with JSON Robust problem solving abilities Evaluate new technologies and participate in the continuous improvement of applications and systems You’re passionate about well-designed products and not afraid to sit with our Design Team to prototype, wireframe, and white-board your ideas

📌 Senior AI Engineer (Permanent) (Toronto)
🏢 CoreFactor
📍 Toronto