Hive.co

Senior Product Engineer, Agentic AI

Hive.co

full-time

Posted on:

Origin:  • 🇨🇦 Canada

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Salary

💰 CA$123,600 - CA$187,900 per year

Job Level

Senior

Tech Stack

DjangoPythonReactTypeScript

About the role

  • Prototype new AI features: build and ship experimental conversational interfaces and refine quickly based on user feedback.
  • Build production-ready features: take prototypes from concept to reliable production systems that scale to thousands of users.
  • Design and ship new interaction modes: implement frontend components and supporting APIs for natural language commands and guided conversations.
  • Create AI-powered workflows: build end-to-end features where AI agents execute multi-step marketing tasks, including conversation state management, React UI components, and real-time user feedback.
  • Collaborate on architecture: contribute to technical planning for how AI experiences integrate with Hive’s platform, focusing on user-facing product impact.
  • Work across the stack: primarily React and Typescript, with some backend work in Python/Django to build APIs and connect to AI systems.
  • Integrate AI systems with high-volume user and transactional data and marketing channels to drive measurable outcomes.

Requirements

  • 3+ years building modern web applications with strong experience in React and Typescript, and comfort working with Python/Django on the backend.
  • Hands-on experience building polished user-facing features, with an eye for detail and usability.
  • Curiosity about AI systems and excitement to experiment with LLM tools and apply them to real products.
  • Product sense: ability to take a vague problem and turn it into a clear, intuitive feature.
  • Experience working closely with Product and Design to build features and explore new interaction patterns.
  • Ability to clearly explain technical decisions, tradeoffs, and approaches to others.
  • Comfort working in a fast-moving environment where best practices are still being defined.
  • Strong async communication and collaboration skills in a remote team.
  • Must be based in Canada and have legal Canadian work authorization for this role.
  • Bonus (nice-to-have): shipped features that use AI in production; experimented with LLM frameworks like LangChain, LangGraph, or semantic kernel; experience with vector databases (Qdrant, Pinecone, Weaviate) or RAG patterns; experience in marketing tech or SaaS.
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