Senior frontend - focused engineer building Pebl’s conversational AI assistant. Shaping streaming, agentic UX for a platform enabling global hiring and workforce management.
About the role
- Product Engineer building Rails and React/TypeScript features for Great Question’s AI customer research platform. Owning customer problems from discovery through production and validation.
Responsibilities
- Own problems end to end, from customer conversation through production and validation
- Build across Rails APIs, React/TypeScript frontends, video streaming, realtime voice agents, agentic search, product analytics, and related product areas
- Work directly with the founders, designer, and engineering team
- Use customer interviews, transcripts, and product analytics to understand problems
- Build prototypes, create technical plans, and direct AI agents to build and QA work
- Evaluate AI-generated output and own whatever ships
- Build usable, customer-centric products with polished UI and UX
- Design scalable systems using appropriate primitives rather than bespoke solutions
- Ship features rapidly to production and maintain them to assess outcomes
- Engage with customer Slack channels and support queues
- Within 90 days, own a product surface and become accountable for its strategy and results
Requirements
- Strong across the full stack, including APIs and frontend development
- Experience with Rails and TypeScript, although this is not a hard requirement
- Built and run production systems
- Daily experience with an agentic coding harness such as Claude Code, Codex, or Cursor
- Ideally shipped LLM-powered features or understands what it takes to run them in production
- Experience deciding what to build and defending UX opinions
- Clear writing ability
- Approximately 5+ years with real ownership
- Willingness to work PST hours, with flexibility
- Willingness to talk to customers, read transcripts, and participate in the support queue
- Comfortable with ambiguity, shifting priorities, autonomy, and accountability
- Strong commitment to AI-native workflows
Benefits
- Full-time employment with proper benefits
- Remote, anywhere in Canada
- 4 weeks PTO
- Annual team offsite
- Brand new Macbook pro
- Enough tokens that you'll never be left wanting
- Freedom to use the latest technologies and vendors
- Reimbursement of AI credits for the building session
- Competitive compensation & equity
- Health benefits
- Learning stipend
- Virtual events
- Remote-first culture with high trust and high autonomy
Job title
Job type
Experience level
Salary
Degree requirement
No Education Requirement
Tech skills
Location requirements
Report this job
Found something wrong with the page? Please let us know by submitting a report below.
Applied AI Engineer building reliable, evaluated, and monitored production AI systems for Inviso’s enterprise clients. Designing agent runtimes, RAG, guardrails, and model - routing capabilities.
AI Architect designing scalable LLM and multimodal AI infrastructure for CBC/Radio - Canada’s public - service media platforms. Integrating secure AI systems across production workflows, studios and GPU clusters.
LP
Junior AI & Automation Specialist
LinkedIn Recruiter Post
Hiring: Junior AI & Automation Specialist | North York We’re looking for someone early in their AI career to join a growing AI team and help build AI - powered wo
LP
Prompt Engineer
LinkedIn Recruiter Post
Enterprise banking client seeks a Prompt Engineer with Capital Markets/Commercial Banking experience and GenAI expertise. 6 - month contract, hybrid in Toronto, start November 2026.
Senior AI Engineer building autonomous agent features and evaluation infrastructure. Improving Monte Carlo's platform for observing, troubleshooting, and trusting production AI systems.
Sun Life VP leading enterprise data, governance, and agentic AI platforms. Driving global financial - services transformation, responsible AI, and high - performing engineering teams.
Backend AI Engineer building scalable model - serving, RAG, and microservice infrastructure. Powering Nexxa.AI’s autonomous AI systems for manufacturing, infrastructure, logistics, and legacy environments.
AI Engineer embedding LLMs, RAG, and multi - agent systems into compliance training SaaS. Modernizing ASP.NET products and deploying secure AI infrastructure at startup velocity.
Senior AI Software Engineer building production LLM applications, agents, and machine - learning platforms. Calabrio - Verint uses customer experience intelligence and AI analytics to improve business interactions.