1) Accountant with good experience in Tally and GST 2) Day to day accounting of Purchases and Sales 3) Preparing Reconciliation of ledger and bank accounts 4) Preparation & Filing of monthly GST return 5) Manage balance sheets and profit/loss statements 6) Candidate should have minimum 2 year experience in Manufacturing Industries 7) Finalising the books and giving it to auditor office for filling Job Type: Full-time Pay: ₹22,000.00 - ₹30,000.00 per month Benefits: Cell phone reimbursement Experience: manufacturing industry: 2 years (Required) Accounting: 4 years (Required) Work Location: In person
** IMMEDIATE JOINER PREFERED** 1) Accountant with good experience in Tally and GST 2) Day to day accounting of Purchases and Sales 3) Preparing Reconciliation of ledger and bank accounts 4) Preparation & Filing of monthly GST return 5) Manage balance sheets and profit/loss statements 6) Candidate should have minimum 2 year experience in Manufacturing Industries 7) Finalising the books and giving it to auditor office for filling If you are Interested send your CV 7845887083 Job Type: Full-time Pay: ₹25,000.00 - ₹35,000.00 per month Benefits: Cell phone reimbursement Experience: manufacturing industry: 2 years (Required) Accounting: 4 years (Required) Work Location: In person
Full Stack Developer Company: Kundan Agri AI Industry: Agricultural Technology (Agri-Tech) Experience Level: 2–5+ Years (Junior / Mid / Senior) Location: India (On-site / Hybrid / Field exposure as required) Job Summary Kundan Agri AI is seeking a talented Full Stack Developer to own and scale the digital backbone of our AI-driven agricultural automation platform. This role focuses on building robust web applications and dashboards that transform complex AI, robotics, and IoT data into actionable insights for farmers, operators, and field teams. Key Responsibilities1. Frontend Development ● Modern UI: Design and develop responsive, high-performance web applications using HTML, CSS, and JavaScript . ● Frameworks: Build modern UI components using React.js (Angular / Vue.js exposure is a plus). ● Real-time Monitoring: Develop dashboards for autonomous machines, GPS tracking, and system health. ● Data Visualization: Implement interactive analytics dashboards and GIS maps. ● Resilience: Build offline-first and low-connectivity solutions using Progressive Web App (PWA) techniques for field use. 2. Backend Development & APIs ● Services: Develop backend services using Node.js or Python (FastAPI, Django, Flask). ● API Design: Design and maintain RESTful or GraphQL APIs to bridge cloud systems and edge devices. ● Security: Implement robust authentication, authorization, and role-based access control (RBAC). ● Optimization: Ensure backend performance, scalability, and security across all services. 3. Database & Data Management ● Architecture: Design and manage SQL and NoSQL databases (PostgreSQL, MySQL, MongoDB, InfluxDB). ● Specialized Data: Efficiently handle time-series sensor data and spatial telemetry. ● Integrity: Write optimized queries and maintain strict data integrity. 4. Cloud, DevOps & Deployment ● Infrastructure: Deploy and manage applications on AWS, Azure, or GCP . ● Containerization: Utilize Docker and maintain CI/CD pipelines for automated deployments. ● Uptime: Ensure application monitoring, scalability, and high availability. 5. Collaboration & Maintenance ● Cross-Functional: Partner with AI/ML, IoT, robotics, and product teams to visualize complex system data. ● Code Quality: Maintain clean, documented code and version control (Git). ● Support: Proactively troubleshoot, refactor, and enhance existing systems. Required Skills & Qualifications ● Education: Bachelor’s degree in Computer Science, IT, or a related field. ● Core Languages: Strong proficiency in JavaScript, HTML, and CSS . ● Frontend: Professional experience with React.js (or similar frameworks). ● Backend: Solid experience with Node.js or Python . ● Database: Strong knowledge of both SQL and NoSQL environments. ● Tooling: Familiarity with Git / GitHub and web security best practices. Preferred / Added Advantage ● Experience in AgriTech, IoT, AI/ML, or robotics platforms . ● Knowledge of GIS and mapping libraries (e.g., Mapbox, Leaflet). ● Experience with WebSockets, MQTT , or other real-time communication protocols. ● Familiarity with Docker, Kubernetes , and microservices architecture. Job Types: Full-time, Permanent Pay: ₹20,000.00 - ₹30,000.00 per month Benefits: Leave encashment Paid sick time Paid time off Experience: 2years: 2 years (Required) Work Location: In person
AI / ML Engineer Company: Kundan Agri AI Experience: 3+ Years Location: India Job Summary Kundan Agri AI is seeking a hands-on AI/ML Engineer to design, build, and deploy intelligent systems for real-world agricultural environments. This role focuses on computer vision, edge AI, and data-driven intelligence to power autonomous machines and smart farming solutions. You will work on AI models that help machines identify crops and weeds, detect diseases and pests, assess soil and field conditions, and operate reliably in unstructured outdoor environments. Key Responsibilities ● Model Development: Design, develop, train, and deploy machine learning and deep learning models for agricultural applications. ● Agri-Intelligence: Build AI solutions for crop detection, weed identification, disease & pest detection, yield prediction, and quality analysis. ● Computer Vision: Develop and optimize computer vision models (object detection, segmentation, classification). ● Sensor Fusion: Integrate data from RGB cameras, LiDAR, multispectral sensors, GPS, and IoT devices. ● Edge Deployment: Optimize and deploy models for edge AI platforms (NVIDIA Jetson, OAK-D, embedded systems) and via APIs or cloud platforms. ● Robotics Support (Preferred): Develop or support navigation, path planning, and obstacle avoidance logic. ● Data Management: Build and manage pipelines for data collection, annotation, preprocessing, and versioning. ● Best Practices: Maintain clean documentation, reproducible experiments, and version control (Git). Required Skills & Qualifications ● Education: Bachelor’s or Master’s degree in Computer Science, AI, ML, Data Science, or a related field. ● Core Fundamentals: Strong fundamentals in Machine Learning, Deep Learning, and Statistical Modeling. ● Programming: Proficiency in Python (C++ is a plus for performance/edge optimization). ● Frameworks: Hands-on experience with PyTorch or TensorFlow . ● Computer Vision: Strong experience with OpenCV, CNNs, YOLO , or similar frameworks. ● DevOps/MLOps: Understanding of model deployment, REST APIs, and MLOps workflows. ● Data: Experience working with SQL / NoSQL databases. Preferred / Added Advantage ● Experience in AgriTech, Precision Agriculture, IoT, GIS, or Remote Sensing . ● Experience with ROS / ROS2 . ● Knowledge of time-series forecasting models . ● Exposure to real-time inference, edge AI, or embedded deployments . ● Familiarity with field conditions, sensor noise, and outdoor data challenges . Soft Skills ● Strong analytical and problem-solving abilities. ● Ability to work independently and with cross-functional teams . ● Field-ready mindset and adaptability to outdoor testing. ● Clear communication and documentation skills. What We Offer ● Impact: Direct impact on farm productivity, water efficiency, and automation. ● Innovation: Opportunity to build real-world AI systems (not just research prototypes). ● Culture: Collaborative, engineering-driven work environment. ● Benefits: Competitive salary with performance-based incentives. ● Growth: Long-term career growth in the rapidly evolving field of Agri AI & robotics. Job Types: Full-time, Permanent Pay: ₹25,000.00 - ₹30,000.00 per month Benefits: Paid sick time Paid time off Experience: 3years: 3 years (Required) Work Location: In person
IoT Integration Engineer Company: Kundan Agri AI Industry: Agricultural Technology (AgriTech) Location: India (On-site / Hybrid / Field work required) Experience: 2–6 Years Job Summary Kundan Agri AI is seeking a skilled IoT Integration Engineer to design, integrate, and maintain IoT-based systems connecting field devices, sensors, autonomous machines, and cloud platforms. This role owns the reliable, secure, and scalable data flow between hardware, AI systems, and digital applications for real-time monitoring and automation in agricultural environments. Key Responsibilities1. IoT Device & Hardware Integration ● Integrate IoT devices, sensors, gateways, and controllers (soil sensors, weather stations, GPS, cameras, and actuators). ● Ensure device calibration, robustness, and field readiness for harsh environments. 2. Communication Protocols & Data Flow ● Implement communication protocols such as MQTT, HTTP/HTTPS, Modbus, CAN, LoRaWAN, and RS-485 . ● Ensure secure and reliable data transmission. ● Design telemetry formats and data schemas for efficient processing. 3. Edge Computing & Gateway Development ● Develop edge applications for data preprocessing, filtering, and local logic. ● Work with embedded Linux systems and IoT gateways. ● Integrate AI/ML inference at the edge where applicable. 4. Cloud & Platform Integration ● Integrate devices with AWS IoT, Azure IoT Hub, or Google Cloud Platform (GCP) . ● Develop APIs for dashboards, analytics, and AI pipelines. ● Enable real-time monitoring, alerts, and automation workflows. 5. System Monitoring & Security ● Implement device monitoring, logging, diagnostics, and Over-the-Air (OTA) updates. ● Ensure device security, authentication, and encryption protocols. ● Own end-to-end system reliability, uptime, and field performance. 6. Collaboration & Documentation ● Collaborate with AI/ML, Full Stack, Embedded, and Robotics teams. ● Support field testing, pilots, and production deployments. ● Maintain technical documentation and system architecture diagrams. Required Skills & Qualifications ● Education: Bachelor’s degree in Electronics, Electrical, Computer Engineering, or a related field. ● Architecture: Strong understanding of end-to-end IoT system architecture . ● Connectivity: Hands-on experience with MQTT, REST APIs, and message brokers . ● Embedded Hardware: Experience with platforms like ESP32, Raspberry Pi, and Arduino . ● Software: Programming experience in Python, C/C++, or Node.js . ● Operating Systems: Knowledge of Linux systems and networking fundamentals. ● Cloud & Security: Familiarity with cloud IoT platforms and device security/encryption. Preferred / Added Advantage ● Experience in AgriTech, Industrial IoT, or Smart Automation . ● Knowledge of LoRa, NB-IoT, or LTE-M wireless technologies. ● Experience with time-series databases (e.g., InfluxDB). ● Exposure to Edge AI or AI-enabled sensors. ● Experience with SCADA, PLCs , or industrial automation systems. Soft Skills ● Strong problem-solving skills in unpredictable field conditions. ● Excellent documentation and technical drawing skills. ● Ability to work effectively in cross-functional engineering teams. Job Types: Full-time, Permanent Pay: ₹20,000.00 - ₹30,000.00 per month Benefits: Paid sick time Paid time off Experience: 2years: 2 years (Required) Work Location: In person