Software Engineering

Junior AI Product Builder

at ProjectBoard

📍 Location Toronto, Ontario Remote
📋 Details Full-time
📅 Posted

Direct apply link, refreshed by the daily generator.

About the Role

Build AI features, integrate backend services

About ProjectBoard

AI education platform empowering STEM students

Full Description

Early-career | 0–2 years | Remote-first

About ProjectBoard

ProjectBoard is the global community for STEM students and their projects. We believe that brilliance isn’t rare, access is. Our platform gives students a safe, engaging space to develop ideas, build real projects, and showcase their work as portfolios that open doors to competitions, college, and careers.

We partner with leading STEM organizations around the world to expand access, increase visibility, and help students go further with their projects, no matter where they start.

At the center of this experience is DaVi, our AI coach, designed not to give answers, but to strengthen thinking, guide research, and help students turn ideas into meaningful work.

Watch our vision video: https://www.youtube.com/watch?v=hVxfGGFsIMs  

Learn about our vision for AI: https://www.youtube.com/watch?v=_16P5S33718  

Why this role exists

You’re helping ensure that every student, regardless of background, can turn an idea into a real project

. You’re not just building features, you’re building access.

What you'll do (day-to-day)

Build agentic AI applications using modern full-stack technologies, including Vue 3, Go microservices, gRPC/REST APIs, MySQL, MongoDB, Docker, and Kubernetes. You will also leverage LLM integrations such as Gemini via LangChain, VectorDB-based retrieval/RAG architectures, MCP-based tool integration, developing AI-powered applications or plugins for the Google ecosystem to provide intelligent insights and automation.

Technical Responsibilities

  • Implement and iterate on AI features within existing systems
  • Build and refine prompt flows and structured outputs
  • Integrate with APIs and backend services (Python, Rails, or Go)
  • Support testing, debugging, and improving AI behavior
  • Assist in evaluation workflows (quality, safety, performance)

What you'll bring

  • Eagerness to learn AI systems, backend architecture, and scalable applications
  • Strong foundation in Python / JS + exposure to LLMs (OpenAI, Gemini, etc.)
  • Basic experience with Go (Golang) or another backend language
  • Familiarity with LLMs (Gemini/OpenAI) and prompt engineering
  • Understanding of REST APIs and fullstack development
  • Working knowledge of MySQL and relational databases

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