AI Software Developer
RouteThis
What You'll Do:
- 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.
What You Bring:
- Practical experience working with LLMs, including prompt engineering, structured outputs, tool use, or RAG-based systems.
- Working knowledge of solution evaluation concepts such as grounding, hallucination detection, safety considerations, latency optimization, and cost-performance tradeoffs.
- 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.
- Experience integrating AI systems into real products, including backend services, APIs, data pipelines, or customer-facing workflows is beneficial.
- Clear communication skills and a collaborative mindset; able to partner across disciplines and incorporate feedback effectively.
- Comfort working in modern AI development environments, and familiarity with cloud platforms such as AWS is beneficial.
- Previous experience in software testing or product design may be beneficial.
Not the Right Fit If...:
- You’re primarily interested in training foundational models or conducting academic AI research rather than applying models to real customer problems.
- You’re focused exclusively on infrastructure, ML Ops, or backend systems without interest in the product and user-facing impact of AI.
- You thrive in highly structured enterprise environments with long planning cycles rather than fast-moving, iterative product teams.
Package Overview:
- The expected total compensation for this role is $120,000 - $150,000 CAD.
- Benefits through Manulife - 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
