Posted:3 days ago|
Platform:
On-site
Full Time
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:
Experience:
Work Location: In person
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