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Rapid Prototyping Engineer; Junior​/Entry Level

Job in Toronto, Ontario, C6A, Canada
Listing for: Fulfillment IQ
Full Time position
Listed on 2026-02-27
Job specializations:
  • Software Development
    AI Engineer, Python, Full Stack Developer, Software Engineer
Salary/Wage Range or Industry Benchmark: 60000 - 80000 CAD Yearly CAD 60000.00 80000.00 YEAR
Job Description & How to Apply Below
Position: Rapid Prototyping Engineer (Junior / Entry Level)

Overview

About Fulfillment IQ (FIQ)
Fulfillment IQ is redefining what's possible in logistics and supply chain technology. As a leading consultancy and solutions partner, we help brands, retailers, and 3PLs solve complex challenges—from selecting modern tech stacks to building custom software and deploying enterprise platforms.

Our globally distributed team of engineers, strategists, and logistics experts blends deep technical experience with practical industry knowledge. We value experimentation, fast learning, and clear execution. If you're early in your career and want to build real products that make real impact, this is the place to grow.

Role Overview

Rapid Prototyping Engineer (1-3 years experience) who is passionate about building quick, functional prototypes using Python, Next.js, MongoDB
, and modern AI-assisted workflows. This role is ideal for a strong junior developer who loves to explore, assemble solutions quickly, debug across the full stack, and use AI coding tools to accelerate development while maintaining code quality and reliability.

You'll work in short, focused cycles to turn ideas into functional proof-of-concepts that validate technical direction before they evolve into production-grade MVPs.

What You'll Do
  • Rapid Prototyping & Development
    Build quick proof-of-concepts using Python (FastAPI preferred), Next.js/React, Mongo

    DB, REST/Graph

    QL APIs
  • Use AI coding assistants (e.g., Git Hub Copilot, ChatGPT, Claude, Cursor) to accelerate development
  • Integrate data sources, SDKs, and public APIs into working prototype applications
  • Implement simple front-end UIs for demos and functional flows using Next.js, Tailwind, React Hooks, and basic component libraries
  • Debugging & Problem-Solving (Critical Skill)
    Troubleshoot and debug full-stack issues across frontend, backend, API gateways, environment variables, Dockerized services, and Mongo

    DB queries
  • Troubleshoot performance issues, CORS errors, and build/runtime failures in local and cloud environments
  • Use Chrome Dev Tools, Postman/Thunder Client, Mongo

    DB Compass, and logging tools to diagnose problems quickly
  • AI-Assisted Development
    Write structured prompts to generate or refactor code safely; evaluate AI-generated code for correctness, security, and maintainability; document useful prompts and patterns for team reuse
  • Iteration & Feedback
    Work in 1-2 week time-boxed cycles with frequent demos; capture stakeholder feedback and refine prototypes quickly; participate in lightweight peer reviews and code walkthroughs
  • Quality, Security & Best Practices
    Use automated linting, type checking, and simple unit tests to validate prototypes; run dependency checks and basic security scans; follow Git branching workflows, commit hygiene, and documentation standards
  • Documentation & Handoff
    Write clear README files, setup instructions, and notes on design decisions; prepare prototypes so they can transition smoothly into production teams
Requirements

Required Skills & Experience (1-3 Years)

  • Core Technical Skills
    Strong programming skills in:
  • Python (FastAPI, Flask, or similar)
  • Next.js / React (Type Script or JavaScript)
  • Mongo

    DB (queries, indexes, basic schema design)
  • Experience integrating and debugging:
  • REST APIs
  • Webhooks
  • Authentication (Auth0, Keycloak, JWT, OAuth)
  • Ability to debug across the stack:
  • Frontend console errors
  • Backend logs, exceptions, stack traces
  • Database queries
  • Network issues (CORS, headers, environment variables)
  • AI-Assisted Coding (Modern Trend)
    Familiarity with Git Hub Copilot, ChatGPT, Claude, or similar tools; understanding of when to trust vs. verify AI-generated code; ability to write structured prompts for code generation and refactoring
  • Dev Ops & Cloud Basics (Trending for junior roles)
    (Not deep expertise—just working knowledge)
  • Docker fundamentals (build, run, logs, Docker Compose)
  • Git Hub Actions or similar CI basics
  • Cloud familiarity (Azure, AWS, or GCP) is a plus
  • Modern Tooling & Practices
    Experience with:
  • Postman / Thunder Client
  • Chrome Dev Tools
  • Mongo

    DB Compass / Atlas
  • VS Code extensions
  • Understanding of API rate limits, pagination, and caching basics
  • Extra "Nice to Have" Skills (Not required, but strong differentiators)
    Basic ML or LLM usage (Hugging Face,…
Position Requirements
Less than 1 Year work experience
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