Senior Full Stack Developer

Company Description INNOFarms.AI is a global AI SaaS and robotics company building an intelligent digital operating backbone for AgriFood enterprises and climate-resilient future food systems. Leveraging AI, robotics, and IoT, the company focuses on making farms more intelligent, efficient, and profitable. Its mission is to empower farm entrepreneurs, growers, and farm managers to work smarter by automating operations, predicting what to grow, optimizing how to grow it, and connecting where to sell. INNOFarms.AI positions itself as a foundational platform, similar to “AWS for future food systems,” offering advanced technology solutions tailored to modern agriculture.

Experience

1 to 4 Years (Exceptional freshers with strong Full Stack, AWS, and AI project experience are encouraged to apply.)

Location

Onsite

Employment Type

Full-Time

About the Role

We are looking for a highly motivated Full Stack Developer to build next-generation cloud applications powering digital agriculture and intelligent farm operations.

You will work on scalable web platforms that integrate AI, IoT devices, cloud infrastructure, GIS mapping, real-time analytics, and decision support systems for agriculture.

The ideal candidate enjoys solving real-world engineering problems, building production-ready applications, and working across the complete technology stack.

What You'll Build

• Smart Farm Management Platform
• AI-powered Decision Support Systems
• Crop Monitoring Dashboard
• Farm Analytics Portal
• IoT Device Management
• Remote Monitoring Platform
• Weather & Soil Intelligence
• Supply Chain & Inventory Platform
• Farmer Mobile & Web Applications
• AI-based Predictive Analytics
• Precision Agriculture Solutions
• Cross-platform SaaS Applications

Key ResponsibilitiesFull Stack Development

• Design and develop scalable full-stack applications.
• Build responsive web interfaces using React/Next.js.
• Develop secure backend APIs using Node.js and Express.
• Design reusable UI components and maintain design consistency.
• Build modular, maintainable, production-ready applications.

Cloud & AWS

• Deploy and manage applications on AWS.
• Configure EC2, S3, IAM, RDS, Lambda, API Gateway, CloudWatch, Route 53, CloudFront, and VPC.
• Build serverless architectures where appropriate.
• Implement auto-scaling, monitoring, and logging.
• Optimize cloud costs and application performance.

AI & Smart Agriculture

• Integrate AI/ML services into web applications.
• Build AI-assisted dashboards and intelligent recommendation systems.
• Integrate LLM APIs (OpenAI, Anthropic, Gemini, etc.).
• Consume computer vision and predictive analytics APIs.
• Develop workflows for crop monitoring, disease detection, yield prediction, weather intelligence, and farm recommendations.

IoT & Smart Devices

• Integrate sensor data and IoT devices.
• Build real-time dashboards.
• Process telemetry data.
• Handle MQTT/WebSocket communication.
• Manage edge device connectivity.

Database

• Design scalable database schemas.
• Work with MongoDB, PostgreSQL, and MySQL.
• Optimize queries and indexing.
• Handle large-scale data processing.

APIs & Integrations

• Develop RESTful APIs.
• Integrate third-party APIs.
• Weather APIs
• GIS & Maps APIs
• Payment Gateways
• SMS & Email Services
• Government Agriculture APIs (where applicable)

DevOps

• Containerize applications using Docker.
• Build CI/CD pipelines.
• Monitor deployments.
• Maintain production environments.
• Implement security best practices.

Required Technical SkillsFrontend

• HTML5
• CSS3
• JavaScript (ES6+)
• TypeScript
• React.js
• Next.js
• Tailwind CSS
• Redux Toolkit / Context API
• Responsive Design

Backend

• Node.js
• Express.js
• REST APIs
• Authentication (JWT, OAuth)
• API Security
• WebSockets
• File Uploads
• Background Jobs

Database

• MongoDB
• PostgreSQL
• MySQL
• Redis (Preferred)

AWS

• EC2
• S3
• Lambda
• API Gateway
• IAM
• RDS
• CloudWatch
• Elastic Beanstalk
• CloudFront
• Route 53
• VPC
• Secrets Manager
• ECS (Preferred)

AI & Modern Technologies

• OpenAI / Gemini / Claude API Integration
• AI Agents & Agentic Workflows
• Prompt Engineering
• Retrieval-Augmented Generation (RAG)
• Vector Databases (Pinecone, Qdrant, Weaviate)
• LangChain / LlamaIndex (Preferred)
• Computer Vision APIs
• AI Chatbots
• AI Automation Workflows

DevOps & Tools

• Git & GitHub
• Docker
• GitHub Actions / CI/CD
• Postman
• Linux
• Nginx
• PM2

Nice to Have

• GIS / Google Maps integration
• Leaflet / Mapbox
• IoT platforms
• MQTT
• Kafka / RabbitMQ
• Elasticsearch
• Kubernetes
• Terraform
• Microservices
• Event-driven Architecture

Qualifications

• Bachelor's degree in Computer Science, Information Technology, Electronics, or a related field.
• Strong Data Structures & Algorithms knowledge.
• Strong debugging and analytical skills.
• Understanding of scalable system design.
• Excellent communication and collaboration skills.

Preferred Experience

• Smart Farming Platforms
• AgriTech SaaS
• AI-powered applications
• IoT Platforms
• Cloud-native development
• Real-time monitoring systems
• Production AWS deployments
• AI model integrations
• Serverless applications
• Precision agriculture or farm management solutions

What We Offer

• Competitive salary
• Opportunity to build AI-powered AgriTech products
• Work on cloud-native AWS architecture
• Exposure to AI, IoT, GIS, and modern DevOps practices
• Ownership of end-to-end product development
• Collaborative engineering culture
• Career growth through cutting-edge technologies
• Opportunity to create solutions that improve agricultural productivity and sustainability