Job Description

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