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Revmind Labs is a boutique software engineering and consulting firm that provides embedded, tailored AI and software solutions for client organizations, placing it within the restricted consulting/staff augmentation category.

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Posted 1mo ago

Fresher Full-Stack Engineer

@ Revmind Labs
India
RemoteFull Time
Responsibilities:building interfaces, integrating apis, debugging issues
Requirements Summary:Entry-level full-stack work across React/Next.js/TypeScript frontend, Python/Node backend, PostgreSQL/SQL, API integration, and basic AI/LLM workflows; built at least one meaningful project.
Technical Tools Mentioned:React, Next.js, TypeScript, Tailwind CSS, Python, FastAPI, Node.js, PostgreSQL, SQL, AWS, Vercel, Docker, CI/CD, serverless systems, LLM APIs, RAG, GitHub, Express, Django, Zustand, TanStack Query, Radix UI, shadcn/ui
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Job Description



This is a remote position.

About the Role

Revmind Labs AI is a boutique deep-tech AI company building production-grade AI and software systems for enterprise customers,

especially in pharma and CPG. We are hiring a Fresher Full-Stack Engineer to help build real systems that move from idea to

production - not just demos.

You will work across frontend, backend, APIs, databases, AI workflows, dashboards, and deployment with guidance from senior

engineers. This is a full-time engineering role for someone who can think clearly, learn fast, build carefully, and improve through

feedback.

What You Will Work On:

  • Build modern web applications using React, Next.js, and TypeScript.
  • Create clean dashboard, workflow, AI tool, and enterprise user interfaces.
  • Build and integrate backend APIs using Python/FastAPI or Node.js.
  • Work with PostgreSQL, SQL queries, data models, and APIs.
  • Connect frontend screens to backend services, authentication, and data layers.
  • Build KPI dashboards, charts, widgets, filters, and analytics interfaces.
  • Integrate AI/LLM workflows into products in a safe, reliable, user-friendly way.
  • Debug issues across UI, API, database, and deployment layers.
  • Support client-specific customization, testing, documentation, and deployment.

How We Evaluate

We focus on ability, clarity of thinking, project quality, and learning speed - not pedigree. The process may include CV/GitHub

screening, a short technical conversation, a practical full-stack task, code/design discussion, and a final fit conversation. The task may

involve a small dashboard, API integration, SQL query, or full-stack feature using sample data.

Tech Stack Exposure

Frontend -  React, Next.js, TypeScript, Tailwind CSS

Backend -  Python, FastAPI, Node.js

Database -  PostgreSQL, SQL

Product Areas -  Dashboards, analytics tools, APIs, enterprise workflows, AI-enabled products

Deployment -  AWS, Vercel, Docker, CI/CD, serverless systems

AI -  LLM APIs, AI workflows, RAG, prompt-based systems, AI-assisted product features



Requirements

What We Are Looking For

  • Strong programming fundamentals in JavaScript/TypeScript and at least one backend language such as Python or Node.js.
  • Hands-on experience building web apps using React, ideally with Next.js.
  • Basic understanding of APIs, HTTP, JSON, authentication, and client-server architecture.
  • Comfort with SQL basics and relational databases.
  • Ability to build, test, debug, and explain your own work.
  • Clear thinking, ownership mindset, and willingness to ask questions when requirements are unclear.
  • Curiosity about AI products, LLMs, enterprise software, and data-heavy applications.
  • Low-ego attitude toward feedback, code reviews, and team learning.

Minimum Expectation

You should have built at least one meaningful project such as a working web app, dashboard/admin panel, backend API connected to

a database, data-heavy application, AI assistant, workflow tool, or full-stack college project. College projects are welcome if they show

clear thinking and real implementation effort.

Good Signals

  • A GitHub project with clean code and thoughtful structure.
  • A real web app, dashboard, workflow tool, AI assistant, or data-heavy app.
  • Backend APIs connected to a database.
  • Project experience involving authentication, deployment, or production-like concerns.
  • Ability to explain trade-offs and learn independently without perfect instructions.

Nice to Have

  • Tailwind CSS, shadcn/ui, Radix UI, Zustand, TanStack Query, or similar tools.
  • FastAPI, Express, Django, PostgreSQL, AWS, Vercel, Docker, CI/CD, or serverless deployment basics.
  • Exposure to LLM APIs, RAG, prompt engineering, AI agents, dashboards, analytics tools, or data visualizations.
  • Understanding of product design, UX quality, and user workflows.


Benefits

Compensation and Growth

Compensation will be highly competitive. This is an opportunity for a fresher to learn from production-grade AI and software delivery,

contribute early, and grow with the engineering standards of the company.