AI Developer – Agentic Systems, RAG & AI Infrastructure

Posting Details Job Details Description

This role focuses on building and evolving agentic AI systems that power ChatGPT-like experiences, as part of a highly collaborative engineering environment.

Success in this role depends as much on how you work with others as on technical skills. The AI Developer will work closely with peers across AI, platform, and product teams to deliver shared, reusable AI capabilities, not isolated solutions.

• Build and improve ChatGPT-like RAG systems in collaboration with other engineers
• Develop agents and tools within a shared agentic framework
• Contribute to pluggable agent designs intended for use by multiple teams
• Participate actively in design discussions, reviews, and pairing
• Implement AI services in Python
• Deploy and operate AI workloads on Kubernetes, VMs, and cluster environments with team support
• Collaborate on LLM inference optimization, including use of vLLM and quantization concepts
• Work with vectorization and retrieval pipelines, including LanceDB
• Contribute to CI/CD workflows using Git Hub and Git Hub Actions
• Experiment with new AI models and tools, and openly share learnings and results
• Support teammates by reviewing code, unblocking issues, and improving shared practices

• Solid experience in Python development
• Practical exposure to LLMs, RAG, or agentic concepts
• Experience working in collaborative engineering teams
• Comfortable giving and receiving feedback through code reviews
• Working knowledge of Kubernetes or containerized environments
• Familiarity with Git Hub-based workflows
• Strong communication skills and a low-ego, team-first mindset
• Curiosity and willingness to learn from peers and experiments

• You prioritize team success over individual solutions
• You communicate clearly, early, and constructively
• You seek alignment before making significant changes
• You help others succeed through collaboration, pairing, and knowledge sharing
• You value maintainability, clarity, and shared ownership

• Increasing trust and collaboration within the team
• Positive impact on team velocity and quality, not just personal output
• Contributions that are adopted and reused by others
• Growing influence through collaboration rather than authority

You will be expected to work in a Hybrid environment reporting to our Kanata, Ontario location 2 or more times per week.