Hands-on Technical Lead - DeepTech Agri AI & Robotics Platform

8 years

0 Lacs

Posted:6 days ago| Platform: Linkedin logo

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Job Type

Full Time

Job Description

Hands-on Cross-workstreams Technical Lead - DeepTech Agri AI & Robotics Platform

(Robotics, IoT, AI & Full-Stack)


Location:

Type:


About INNOFarms.AI


INNOFarms.AI is a category-defining Agri-Climate Tech startup


hands-on technical leader


Role Overview

As the Technical Lead – Platform


  • Take

    ownership of technical readiness

    for our Platform deployments.
  • Guide and mentor the team across Robotics,

    IoT, AI/ML, and Full-Stack

    development.
  • Ensure

    end-to-end integration

    of sensors, data pipelines, AI models, and dashboards into robust, pilot/full-scale project-ready solutions.
  • Set up

    best practices for reviews, testing, and architecture

    to eliminate “dummy progress” and ensure real-world execution.
  • Act as the

    hands-on Technical execution partner to the Founder & CEO

    , ensuring client-facing pilots/Projects succeed without fail.


Key Responsibilities


  1. Pilot Execution & Readiness

  • Lead technical validation for INNOFarms.AI Ecosystem Platform's Products.
  • Ensure pilots/Projects run seamlessly with real sensors, IoT modules, and AI-driven dashboards, robotics integrations.

2 . Architecture & Code Leadership

  • Define scalable platform architecture across IoT + AI + SaaS stack.
  • Review and mentor

    devs’ code to enforce quality, performance, and robustness.

  1. AI, IoT & Full-Stack Integration

  • Deploy AI-driven insights (crop health, yield predictions, anomaly detection).
  •  Review and build dynamic IoT control systems (irrigation, climate, lighting).
  • Ensure real-time integration with

    INNOFarmsXOS dashboard

    .

3. Startup Leadership

  • Work directly with Founder/CEO, CTO on roadmap and external pilots/Projects.
  • Help manage a small cross-functional team (AI, IoT, full-stack devs).
  • Instill a culture of ownership, testing, and real-world results.


Ideal Candidate Profile


  • Experience:

    5–8 years in IoT + AI/ML + SaaS/Full-Stack systems.
  • Startup DNA:

    Prior exposure to early-stage startup or AgriTech/Robotics/AI/IoT environment.
  • Hands-On Skills:

    Comfortable coding, debugging, and field-testing systems.
  • Technical Stack Knowledge:

  • IoT: MQTT, Node-RED, embedded systems, sensor integration.

  • AI/ML:

    Python, TensorFlow/PyTorch, Computer Vision.
  • Full-Stack:

    React/Node.js/Flask, APIs, Cloud (Azure).
  • Strong in

    system architecture

    and scaling MVP into project-ready products.
  • Passion for sustainability, agriculture, and solving real-world challenges.


What We Offer

  • Salary:

    ₹15–24 LPA (competitive, with flexibility for the right candidate).
  • Performance Bonus:

    ₹2–4 L Projects success-based bonus.
  • ESOPs:

    Potential Tech pool ESOPS; post 1 year completion
  • Work on

    cutting-edge DeepTech

    (AI + IoT + Robotics) with global Pilots/Projects.
  • Be part of the

    founding tech team

    shaping the future of food systems.


Why Join Us?

This is not a 9–5 job. This is about building from the ground up


How to Apply:

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