Full Stack Developer

Job Title: Full Stack Developer – AI Product Engineering

Location: Mumbai

Full-time | Fresh Talent Welcome | Hustle Required

At Network Science, we’re not building features — we’re building the future.

We’re the company behind the Operating System for the Enterprise AI World — helping the world's top businesses adopt and scale AI across every function, product, and decision.

We’re working on a portfolio of AI products — from productivity tools and agent copilots to intelligent platforms that solve complex business problems at scale.

As a Full Stack Developer, you’ll be part of the founding build team — and your first mission will be to work on a groundbreaking AI-powered application that blends real-time data processing, intuitive UX, and seamless AI integration. This is just Project 1 of many. You’ll be trusted to take on end-to-end responsibility across multiple builds.

• Build full-stack AI-driven products — both internal and customer-facing
• Work closely with Product Managers, Designers, and AI Scientists to translate ideas into fast, functional, beautiful applications
• Build intuitive frontends with React.js / Next.js
• Develop secure and scalable backend systems with Node.js / Express (or Django/FastAPI)
• Integrate AI/ML APIs (OpenAI, Whisper, Google Translate, Coqui, etc.) for core platform features
• Contribute to API design, database architecture, and system scaling strategies
• Deploy applications to cloud platforms using modern DevOps practices
• Iterate rapidly, fix bugs proactively, and own your builds end-to-end

• HTML, CSS, JavaScript — strong fundamentals
• React.js or Next.js
• State management using Redux or Context API
• Basic UX/UI sensibility for building intuitive user-facing interfaces
  

• Node.js + Express (or Django / FastAPI)
• REST / GraphQL APIs
• Auth systems with JWT / OAuth
  

• PostgreSQL / MySQL / MongoDB
• AWS S3 or GCP Cloud Storage
• File management and user-session data persistence
  

• Experience integrating AI APIs: OpenAI, Whisper, Google Translate, Coqui TTS, PaddleOCR, etc.
• Ability to work with ML outputs and feed them into usable features (text/audio/image)
  

• Git / GitHub
• Deploying to Vercel, Netlify, Heroku, Render, AWS, or GCP
• Docker for containerizing services
• CI/CD pipelines
  

• Redis / Celery / RabbitMQ for task queues
• Caching, job orchestration, and cloud GPU usage (bonus)
  

• Have a

  builder mindset

  — you care about what’s being built, not just what you’re told
• Are ready to put in long hours to learn, ship, fail, and win
• Have built cool stuff on your own (projects, hackathons, side gigs — all count)
• Can own end-to-end features and keep iterating until they work beautifully
• Want to be part of a

  mission-first, fast-paced

  company creating real impact with AI

• Experience in AI/ML projects — especially around GenAI or LLMs
• Building or contributing to production-scale platforms
• Understanding video, image, or audio processing pipelines
• Clear documentation habits and team-first attitude
  

This isn’t a code-monkey role.

This is your chance to be the engineer who ships products that change how people work, learn, and communicate with AI.

You’ll be thrown into ambiguity. You’ll build fast. You’ll break things.

But you’ll also be part of something unforgettable.