Back End Engineer

Company Description

At Network Science, we specialize in enabling businesses to harness the full potential of AI to innovate, scale, and lead in their industries. Our approach combines speed, simplicity, and co-creation to deliver transformative results. We believe in thinking big and acting fast, with proven methodologies and cutting-edge solutions that accelerate AI adoption. Our co-creation model ensures that every AI solution aligns with your unique goals and challenges, fostering innovation and ownership.

Job Title: Back end Developer/Engineer with full-stack exposure optional)

Location: Mumbai

Full-time | 2+ Years Experience Required | Hustle Required

At Network Science, we're not building features — we're building the Operating System for the Enterprise AI World.

You'll be architecting systems that handle massive scale while maintaining bank-level security.

What You'll Build

Core Platform Development

• Multi-tenant SaaS architecture with per-client data isolation across AWS regions
• AI Gateway that brokers access to OpenAI, Google Gemini, FLUX, Imagen APIs
• Real-time collaboration features with OneDrive integration and enterprise memory
• Enterprise security systems supporting SOC 2, GDPR, CCPA compliance

Enterprise Infrastructure

• AWS multi-account architecture (Dev/Test/Prod) with auto-scaling ECS/EKS
• MongoDB Atlas clusters with regional data isolation and encryption
• S3 per-client buckets with KMS encryption and compliance controls
• Authentication systems with AWS Cognito, SSO, and enterprise identity integration

Your Technical Arsenal

Backend Preferred)

• + Express or Python (Django/FastAPI) for scalable APIs
• Multi-tenant architecture with client isolation and data segregation
• JWT/OAuth authentication with enterprise SSO integration
• RESTful/GraphQL APIs designed for enterprise scale and security

Database & Storage

• MongoDB Atlas multi-region clusters with per-client database isolation
• AWS S3 bucket management with regional compliance requirements
• Redis for caching and session management across distributed systems
• Data encryption at rest and in transit using AWS KMS

AI/ML Integration (Critical)

• Multiple AI API integration: OpenAI (GPT-4.1, GPT-4o), Google Gemini, FLUX, Imagen
• AI Gateway architecture with rate limiting, cost optimization, and failover
• Prompt engineering and AI response processing for enterprise use cases
• Usage tracking and billing for AI API consumption across clients

Enterprise DevOps

• AWS infrastructure: ECS/EKS, ALB, API Gateway, CloudFront, VPC
• Multi-environment deployment (Dev/Test/Prod) with CI/CD pipelines
• Docker containerization and orchestration for microservices
• Monitoring & observability with CloudWatch, X-Ray, and distributed tracing

Security & Compliance

• Enterprise security patterns: Zero-trust architecture, encryption, audit logging
• Compliance frameworks: SOC 2, GDPR, CCPA implementation
• Multi-tenant security with client data isolation and access controls
• Performance optimization for concurrent enterprise users

Experience Requirements

Must Have (2+ Years)

• Production full-stack development with and (or Python)
• Cloud infrastructure experience (AWS preferred) with containerization and deployment
• Database management with both SQL and NoSQL systems in production
• API development and integration with third-party services and authentication systems
• Version control and collaboration using Git in team environments

Highly Preferred

• Multi-tenant SaaS applications with client data isolation and security
• AI/ML API integration experience with OpenAI, Google, or similar providers
• Enterprise software development with compliance and security requirements
• AWS services including ECS/EKS, S3, RDS, Lambda, API Gateway
• Real-time applications with WebSocket or similar technologies

You're Perfect If You...

Technical Builder Mindset

• Have built production applications that real users depend on
• Understand enterprise software requirements (security, compliance, scale)
• Can architect multi-tenant systems with proper data isolation
• Have experience with cloud infrastructure (AWS preferred) and DevOps practices

AI-First Developer

• Have integrated multiple AI APIs in production applications
• Understand AI cost optimization and rate limiting strategies
• Can build intelligent user experiences with AI-powered features
• Excited about building the next generation of enterprise AI tools

Enterprise-Ready Mindset

• Care about security, compliance, and audit trails
• Can handle complex business logic and enterprise workflows
• Think about scalability from day one — not as an afterthought
• Want to build systems that Fortune 500 companies will trust with their data

Hustle & Growth

• Ready to own end-to-end features in a fast-paced startup environment
• Can iterate rapidly while maintaining high code quality
• Learn quickly and adapt to new technologies and business requirements
• Want to be part of something that changes how enterprises work with AI

Massive Bonus Points For

• SaaS platform experience: Multi-tenant architecture, billing systems, enterprise onboarding
• Enterprise security: SOC 2 compliance, encryption at scale, audit logging
• Real-time systems: WebSocket implementations, collaborative features, live updates
• AI/ML production experience: LLM integration, prompt optimization, AI cost management
• AWS expertise: ECS/EKS, multi-account organizations, compliance configurations

What You Get

Technical Opportunity

• Build from scratch with modern tech stack and enterprise best practices
• Work directly with founders and shape product and technical decisions
• Own major features that will be used by thousands of enterprise users
• Learn enterprise AI at scale with cutting-edge tools and technologies

Mission & Impact

• Transform how enterprises use AI across communication and content creation
• Build the platform that will power the next generation of AI-driven businesses
• Work on problems that matter — security, compliance, scale, user experience
• Join the founding team of what could become India's leading enterprise AI platform

The Reality Check

This isn't a 9-to-5 job. This is your chance to build something extraordinary.

You'll be thrown into complex enterprise problems. You'll build fast and iterate constantly. You'll own features end-to-end from database design to user interface.

But you'll also be part of something unforgettable — building the platform that enterprises will depend on for their AI transformation.

Ready to build the future of enterprise AI?

Apply now with:

• Your resume highlighting relevant experience (minimum 2+ years full-stack development)
• GitHub profile with your best work
• Brief note on why you want to build enterprise AI tools

We're looking for exceptional developers with proven experience to join our founding team. If you're ready to hustle and build something extraordinary, let's talk