Gen AI Developer

Please note, this role is not able to offer visa transfer or sponsorship now or in the future.

As a Gen AI Developer, you will make an impact by designing, developing, and deploying cutting‑edge generative AI solutions that drive meaningful business outcomes. You will be a valued member of the AI & Data Engineering team and work collaboratively with data scientists, architects, and business stakeholders across the organization.

• Design, build, and fine‑tune generative AI models and LLM‑based applications to solve complex business problems.
• Develop scalable data pipelines and ML workflows using Python and libraries such as PySpark, Tensor Flow, PyTorch, and Scikit‑learn.
• Integrate and optimize AI solutions on cloud platforms (Azure, AWS, or GCP) and big data ecosystems including Hadoop and Spark.
• Collaborate with cross‑functional teams to define AI use cases, evaluate model performance, and iterate on solutions.
• Stay current with advancements in generative AI, contribute to best practices, and support knowledge sharing across the team.

We believe hybrid work is the way forward as we strive to provide flexibility wherever possible. Based on this role’s business requirements, this is a hybrid position requiring 3-4 days a week in a client or the company office in Toronto, Ontario. Regardless of your working arrangement, we are here to support a healthy work‑life balance through our various wellbeing programs.

The working arrangements for this role are accurate as of the date of posting. This may change based on the project you’re engaged in, as well as business and client requirements. Rest assured; we will always be clear about role expectations.

• 5+ years of experience in IT related role
• Proficiency in Python and AI/ML libraries including Tensor Flow, PyTorch, Scikit‑learn, and PySpark.
• Hands‑on experience building or fine‑tuning generative AI models, large language models (LLMs), or related AI applications.
• Experience with big data ecosystems such as Hadoop and Apache Spark for data processing at scale.
• Practical knowledge of cloud platforms (Azure, AWS, or GCP), including deploying and managing ML workloads.
• Strong understanding of MLOps practices, model versioning, and the full machine learning development lifecycle.

• Experience with prompt engineering, retrieval‑augmented generation (RAG), or agentic AI frameworks.
• Familiarity with vector databases, embedding models, and semantic search architectures.
• Exposure to responsible AI principles, model explainability, and governance frameworks.
• Contributions to open‑source AI projects or published research in the generative AI space.
• Strong communication skills with the ability to translate complex AI concepts for non‑technical stakeholders.

We’re excited to meet people who share our mission and can make an impact in a variety of ways. Don’t hesitate to apply, even if you only meet the minimum requirements listed. Think about your transferable experiences and unique skills that make you stand out as someone who can bring new and exciting things to this role.