About PureFacts Financial Solutions

PureFacts Financial Solutions is a rapidly growing, market leading WeathTech organization, on an exciting journey committed to becoming a leading Canadian firm with a world class team. At PureFacts, we are on a mission to create meaningful, differentiated wealth solutions that help people live their best life. We use artificial intelligence, big data, and the latest technologies, along with our industry expertise, to help firms grow revenue, reduce costs, manage risk, and delight their customers. Our wealth solutions are mission critical to our clients.  

Combined with our solutions and loyal clients, our hungry, humble & smart team is a cornerstone to our growth.  In addition to our highly valued wealth solutions, we are committed at PureFacts to help create a better life for all. We are focused under our corporate citizenship arm of PurePossibilities to provide food, shelter, education and employment for the less fortunate, enabling one step at a time a leg up for all. 

At PureFacts, we do business differently. We believe in a six-stakeholder model where employees, clients, partners, the community, the environment and the shareholders are beneficiaries of the business. For our differentiated approach and results, PureFacts was selected as one of 100 most innovative WealthTech firms in the world by WealthTech 100. In summer 2024, we announced a partnership with GrowthCurve Capital as a majority investor and are planning to 4-10x our business in the coming 3-5 years. To meet that hyper growth, we our investing in our people, operations and technology to continue to service our clients at the highest level.  

We embody six values – Hungry, Humble, Smart, Purposeful, as well as Teamwork and Radical Candor. If that sounds like you and you want a seat on the rocket ship, then join us at PureFacts! 

About the role

We are seeking a highly skilled and motivated AI Engineer to design and build our next-generation agentic AI platform and intelligent AI agents. You will play a pivotal role in architecting and implementing systems that enable autonomous agents to reason, learn, plan, and interact in real-world and digital environments. This is a hands-on role with a strong emphasis on engineering excellence, creativity, and innovation.

What you'll do

• Design and develop scalable agentic AI frameworks and reusable components for building intelligent agents.
• Build multi-agent systems capable of complex reasoning, memory, tool use, and long-term task execution.
• Integrate industry-standard AI libraries and frameworks such as LangChain, AutoGen, CrewAI, Haystack, or similar.
• Implement and fine-tune Large Language Models (LLMs), retrieval-augmented generation (RAG), and reasoning pipelines.
• Develop capabilities for agents including planning, context management, feedback loops, reflection, and self-improvement.
• Collaborate cross-functionally with product managers, data scientists, and backend engineers to define features and APIs.
• Optimize agents for performance, reliability, and safety in production environments.
• Stay up to date with the latest developments in agentic AI, LLMs, reinforcement learning, and cognitive architectures.

Qualifications

• Bachelor’s or master’s degree in computer science, AI, Machine Learning, or a related field.
• 3+ years of experience in software development with strong proficiency in Python.
• 2+ years of experience working with modern AI/ML frameworks (e.g., PyTorch, TensorFlow, Hugging Face Transformers).
• Deep understanding of LLMs, vector stores (e.g., FAISS, Weaviate), and retrieval-augmented generation (RAG).
• Experience with frameworks such as LangChain, AutoGen, CrewAI, Semantic Kernel, or similar.
• Strong foundation in algorithms, data structures, and systems design.
• Familiarity with prompt engineering, fine-tuning, and agent orchestration techniques.
• Experience deploying AI models and agents in cloud environments (AWS, Azure, GCP).
• Excellent problem-solving, collaboration, and communication skills.

Preferred Experience
- Experience with autonomous or goal-driven agent architectures (e.g., ReAct, AutoGPT, BabyAGI, CAMEL).
- Knowledge of reinforcement learning or neuro-symbolic reasoning.
- Familiarity with observability tools for AI agents (e.g., LangSmith).
- Contributions to open-source agentic AI tools or frameworks.
- Publications or research experience in multi-agent systems or cognitive AI.

What we offer
• Opportunity to be at the forefront of emerging AI technologies.
• Collaborative, innovation-driven work culture.
• Competitive salary and benefits.
• Flexibility to explore and shape the future of agentic AI platforms.