Rapid Prototyping Engineer; Junior​/Entry Level

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.

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.

· 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.

· 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.

· 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.

· 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.

· 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.

· Write clear README files, setup instructions, and notes on design decisions.

· Prepare prototypes so they can transition smoothly into production teams.

Requirements

· Strong programming skills in:

o Python (FastAPI, Flask, or similar)

o Next.js / React (TypeScript or JavaScript)

o MongoDB (queries, indexes, basic schema design)

· Experience integrating and debugging:

o REST APIs

o Webhooks

o Authentication (Auth0, Keycloak, JWT, OAuth)

· Ability to debug across the stack:

o Frontend console errors

o Backend logs, exceptions, stack traces

o Database queries

o Network issues (CORS, headers, environment variables)

· 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.

(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.

· Experience with:

o Postman / Thunder Client

o Chrome Dev Tools

o Mongo

DB Compass / Atlas

o VS Code extensions

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