Top Tech Jobs & Startup Jobs in Toronto

Build and maintain scalable, responsive frontend applications and key UI modules. Translate designs into high-quality code, create reusable components and libraries, own frontend build and testing systems, ensure UI/UX feasibility, collaborate with backend, data science, and DevOps teams on APIs, and optimize application performance and scalability.

Build and optimize production-grade agentic AI systems for marketing and enterprise customer experience use cases. Responsibilities include agent orchestration, tool use, RAG, embeddings, guardrails, LLM evaluation, observability, performance optimization, and scalable Python services deployed on AWS. The role partners across product and engineering teams and requires hands-on experience with LLM agents, marketing data platforms, retrieval systems, and AI evaluation.

Design, optimize, test, and benchmark prompts and agent tool descriptions to improve AI performance. Collaborate with Customer Success and Data Science, automate evaluation and testing, document prompt practices, and research new NLP and model-specific prompting strategies.

Conduct formative and validation UX research for an enterprise agentic AI platform: recruit customers, run interviews and usability tests, synthesize findings, build repeatable research practices, and influence product and design decisions.