AI Engineer

AI Engineer

Type: Full-time/ Fixed Term

Work arrangement:
Hybrid

Location:
Toronto, Ontario

Experience: Minimum of 8 years experience

About BrainyYack

Founded in 2006, BrainyYack is a technology, AI, and digital product consultancy headquartered in Toronto. For nearly two decades, we have partnered with growth-focused and enterprise organizations to design and deliver the software, AI systems, and digital experiences that move their businesses forward.

Our work spans custom software engineering, intelligent AI agents and automation, scalable platforms, and enterprise digital transformation. We specialize in turning fragmented, underused data into structured, intelligent systems, enabling clients to operate with greater speed, efficiency, and measurable return, without disrupting what already works. Across financial services, retail, healthcare, education, manufacturing and more. Organizations trust us to bring complex, high-stakes ideas to life.

At our core, we are a firm where engineering excellence, creativity, and genuine business impact meet and where the people who build with us do work that reaches real users and real outcomes.

The people who thrive here

We look for professionals who take ownership of their work, hold a high bar for quality, and care about the outcome a client is trying to achieve not just the task in front of them. Our strongest people are clear communicators who work well directly with clients, perform across multiple projects, and bring both craft and judgment to everything they build.

About the Role

We are assembling a specialist team focused on AI-driven workflow transformation, and we are looking for a hands-on Agentic AI Engineer to help lead it. This is a software engineering role not a research or model-training position. You will build production agents on top of foundation models, not train models from scratch.

You will design, build, and operate AI agents capable of autonomous decision-making, planning, and tool use to execute complex customer and internal workflows. The work spans agentic AI engineering, full-stack development, and AI-assisted delivery - applied to real product problems in an enterprise environment where reliability, security, and performance are non-negotiable.

This role is for someone who writes the code and leads the work - architecting a solution and shaping technical direction in the morning, and shipping a reliable, observable agent into production in the afternoon.