AI Engineer

Zafin is an AI platform company helping regulated institutions modernize how critical work is designed, governed, and delivered. Our technology enables organizations to move faster while maintaining the governance, accountability, and control required in highly regulated environments.

Our portfolio includes Zafin AIOS
, an agent orchestration platform for governed AI work; the Zafin Banking Platform
, which helps banks modernize product, pricing, offers, billing, loyalty, and relationship management; and Zafin IO
, an integration platform that connects data, systems, and workflows across complex enterprise environments.

Headquartered in Toronto, Canada, Zafin partners with leading financial institutions across North America, Europe, the Middle East, Africa, and Asia-Pacific. As AI transforms the future of financial services, we're building the platforms that help regulated organizations adopt AI responsibly and at scale.

As an AI Engineer, part of Zafin's AIOS Platform or Forward Deploy Units, you'll help turn practical AI ideas into reliable software that customers can use every day. You'll work across the lifecycle: understanding a problem, experimenting with an approach, building the product, shipping it, and improving it once it is in use. The work includes AI-powered workflows, conversational experiences, search, automation, and the data systems behind them.

This role is for someone who enjoys tackling new challenges and creating solutions from the ground up. You are curious enough to explore unfamiliar problems, resourceful enough to find a path through them, and accountable enough to see the work through.

• Build and support AI-powered product features.
• Develop workflows, conversational experiences, search, and automation that solve real customer problems.
• Design the data pipelines, integrations, APIs, and application components that make AI features useful and dependable.
• Write clear, tested, maintainable code and contribute to code reviews, debugging, and production support.
• Work with product, engineering, subject matter experts, and customers to turn business needs into working software.
• Run experiments, learn from results, and improve features after launch.
• Participate in customer workshops, technical discussions, demos, and knowledge-transfer sessions when your perspective can help move a solution forward.
• Create practical technical documentation, implementation guides, and runbooks.
• Continuous learning. AI tooling, customer needs, and the best way to solve a problem will change, and you'll help the team adapt.

• Experience building and shipping complex software in an enterprise environment.
• 2+ years of experience with AI applications, such as LLM-based workflows, conversational interfaces, search, or automation.
• Solid understanding of generative AI, LLMs, and the trade-offs involved in putting AI features into production.
• Strong software engineering fundamentals, including APIs, databases, testing, debugging, and system design.
• Ability to take an ambiguous problem, ask good questions, and turn it into a sensible technical plan.
• Excellent communication skills, with the ability to effectively collaborate and communicate complex concepts to both technical and non-technical audiences.
• Ownership-driven mindset with a track record of identifying opportunities, taking initiative, and delivering results end-to-end.
• Hands on experience using Git
• Bachelor's degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience.
• While Python and React are widely used within our environment, we place greater value on strong engineering fundamentals, sound technical judgment, and the ability to…