Rapid Prototyping Engineer (Junior / Entry Level)Fulfillment IQ • Toronto, ON, CA

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Rapid Prototyping Engineer (Junior / Entry Level)

Fulfillment IQ • Toronto, ON, CA

Il y a plus de 30 jours

Type de contrat

Temps plein

Description de poste

Rapid Prototyping Engineer (Junior / Entry Level)

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.

Role Overview We are looking for a 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, MongoDB, REST / GraphQL APIs.
Use AI coding assistants (e.g., GitHub 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

Debug full‑stack issues across frontend, backend, API gateways, environment variables, Dockerized services, and MongoDB queries.

Troubleshoot performance issues, CORS errors, and build / runtime failures in local and cloud environments.

Use Chrome DevTools, Postman / Thunder Client, MongoDB 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 so they can be reused by the team.

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

Core Technical Skills

Strong programming skills in Python (FastAPI, Flask, or similar).

Next.js / React (TypeScript or JavaScript).

MongoDB (queries, indexes, basic schema design).

Experience integrating and debugging REST APIs, Webhooks, and authentication (Auth0, Keycloak, JWT, OAuth).

Ability to debug across the stack : frontend console errors, backend logs, database queries, network issues (CORS, headers, environment variables).

AI‑Assisted Coding

Familiarity with GitHub Copilot, ChatGPT, Claude, or similar tools.

Understanding of when to trust versus verify AI‑generated code.

Ability to write structured prompts for code generation and refactoring.

DevOps & Cloud Basics

Docker fundamentals (build, run, logs, Docker Compose).

CI basics with GitHub Actions or similar.

Cloud familiarity (Azure, AWS, or GCP) is a plus.

Modern Tooling & Practices

Postman / Thunder Client, Chrome DevTools, MongoDB Compass / Atlas, VS Code extensions.

Understanding of API rate limits, pagination, and caching basics.

Nice to Have Skills

Basic ML or LLM usage (Hugging Face, embeddings, vector databases).

Experience with serverless functions (Vercel, Cloud Functions).

Knowledge of TailwindCSS or component frameworks (Shadcn, MUI).

Familiarity with GraphQL.

Key Performance Indicators (KPIs)

Number of functional prototypes completed.

Time from idea to demo‑ready build.

Debugging efficiency and problem‑resolution speed.

Quality of code (readability, reliability, low defect rate).

Effective use of AI coding assistants.

Reusability of prompts and prototype components.

Positive feedback from stakeholders on clarity and speed.

Benefits & Perks

Supplementary health benefits & wellness program.

Paid vacation, sick leave, and statutory holidays.

CPP contributions + additional retirement programs.

Learning & development budget.

Internet and workstation reimbursement.

Anniversary rewards and an Employee Stock Option Plan (ESOP).

Company meetups, team events, and collaborative culture.

Referrals increase your chances of interviewing at Fulfillment IQ by 2x.

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