Software Engineering Intern contributing to Tonal’s product roadmap while developing AI - assisted automation solutions. Collaborating with engineering teams to leverage new technologies and boost productivity.
About the role
- AI Software Developer building AI-powered solutions for ISPs and Smart Home companies. Focused on solving connectivity and WiFi challenges with autonomous agents.
Responsibilities
- Build and ship applied AI features that solve real-world WiFi and connectivity support problems for millions of users.
- Design, implement, and iterate on LLM-powered workflows, including prompt design, retrieval (RAG), tool use, and multi-step reasoning with a focus on reliability and customer impact.
- Own end-to-end delivery of AI features, from prototype to production, including integration with backend services and APIs.
- Evaluate model outputs for correctness, safety, hallucination, contextual grounding, latency, and cost; use those insights to improve system performance.
- Collaborate closely with Product, CX, and Engineering to translate ambiguous support challenges into scalable AI-driven solutions.
- Contribute to shared AI tooling, testing frameworks, and evaluation processes that improve how the team builds and measures AI systems.
- Prototype quickly to explore new approaches and harden successful experiments into production-ready systems.
- Participate actively in design reviews and technical discussions, contributing thoughtful perspectives while continuing to grow your expertise.
Requirements
- 2–5 years of experience building and shipping software.
- Practical experience working with LLMs via APIs (e.g., OpenAI or similar), including prompt engineering, structured outputs, tool use, or RAG-based systems.
- Experience integrating AI systems into real products, including backend services, APIs, data pipelines, or customer-facing workflows.
- Working knowledge of model evaluation concepts such as grounding, hallucination detection, safety considerations, latency optimization, and cost-performance tradeoffs.
- Comfort working in modern AI development environments, and familiarity with cloud platforms such as AWS.
- Experience iterating quickly in startup or product-focused environments where ownership and velocity matter.
- Strong problem-solving ability; able to move from ambiguous problem statements to practical, testable AI solutions.
- Clear communication skills and a collaborative mindset; able to partner across disciplines and incorporate feedback effectively.
Benefits
- Medical, Dental
- Employee Assistance Program
- Equity- Stock Options
- 3 weeks vacation plus an additional 10 days around statutory holidays to make long weekends longer!
- Onsite gym conveniently located downtown Kitchener
- Weekly lunches
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