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Intugine - Logistics through Innovation's logo

Python AI Engineer

Aishwarya Ganesan's profile picture
Posted by Aishwarya Ganesan
1 - 3 yrs
₹12L - ₹18L / yr
Bengaluru (Bangalore)
Skills
skill iconPython
Streamlit

About Intugine

Ever wondered how the physical goods we consume every day (think dairy, snacks, or your favourite choco chip ice cream) reach you in time? Or how beautiful furniture or sophisticated electronic equipment and gadgets you use are delivered in the best possible condition at your doorstep. 

Their journey spans from getting sourced, manufactured, and stored, to getting moved across a highly intricate supply chain network across the globe before it gets delivered. Global brands constantly face challenges like not having visibility of their raw materials, which delays production and in turn, delays customer shipments, or tracking shipments across various modalities and multiple geographies. 

Intugine Technologies is one of the most trusted solution partners catering to these brands with its best-in-class visibility platform helping brands gain comprehensive visibility over their supply chain across modalities(air/land/sea/rail). Their solutions have helped eliminate operational inefficiencies, reduce logistics costs and improve OTIF, order to delivery TAT, and minimise dwell time and detention costs.

Intugine is a proud partner of the National Logistics Policy, an initiative by the  Government of India. With this, it provides these brands with additional information via their integrations with FASTag, Port Community System, and Freight Operations Information System to name a few. 

Today Intugine works with 75+ global enterprise names like GE Healthcare, Signify, Flipkart, Mahindra Logistics, Titan, Diageo, Ultratech Cement, Bridgestone, and GMMCO.  

To know more, visit the  website: https://www.intugine.com


About the Role

We are looking for an AI Product Engineer to rapidly build data-driven software products using modern AI coding agents. You will own the end-to-end development of internal and customer-facing applications from idea to production, leveraging Python, LLMs, computer vision, and analytics to solve complex real-world operational problems.

This role is ideal for someone who enjoys shipping products at high velocity by effectively orchestrating AI-assisted development rather than manually writing every line of code. You will work closely with the Co-founder, playing a key role in transforming business ideas into scalable AI-powered products.


Responsibilities

  • Work closely with the Co-founder to build AI-powered products from concept to production.
  • Build production-ready applications, dashboards, and automation tools using Python and modern web technologies.
  • Leverage AI coding agents (e.g., Cursor, Claude Code, Codex, Gemini) to accelerate development and manage multiple parallel development streams.
  • Design and implement LLM-powered workflows, AI agents, and multimodal solutions.
  • Develop analytics platforms combining geospatial, IoT/sensor, image, and enterprise datasets to generate actionable business insights.
  • Optimize prompts, AI pipelines, and vision models for performance, reliability, and accuracy.
  • Own software quality, deployment, performance, and continuous improvement of AI-enabled products.
  • Handle the end-to-end product lifecycle.


Requirements

  • Strong Python programming skills with experience building production-grade applications.
  • Experience building dashboards, data visualization tools, or internal platforms.
  • Familiarity with LLMs, prompt engineering, AI APIs, and agentic coding workflows.
  • Experience working with structured data, APIs, and cloud-based services.
  • Ability to independently translate ambiguous business problems into scalable software solutions.
  • Strong product mindset with a bias toward rapid experimentation, execution, and ownership.
  • Excellent communication and collaboration skills in a fast-paced startup environment.


Nice to Have

  • Experience with computer vision, satellite imagery, or geospatial data.
  • Knowledge of IoT, sensor, or telemetry data processing.
  • Experience with Streamlit, FastAPI, Plotly Dash, React, or similar frameworks.
  • Exposure to vector databases, RAG (Retrieval-Augmented Generation), and AI evaluation frameworks.


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Shubham Vishwakarma

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About Intugine - Logistics through Innovation

Founded :
2014
Type :
Products & Services
Size :
100-1000
Stage :
Raised funding

About


Intugine Technologies stands as a trailblazer in real-time multimodal supply chain visibility, leveraging our profound expertise in IoT technology to revolutionize and digitize logistics operations for businesses globally.


Our comprehensive suite of SaaS modules and products, including FTL and PTL Tracking, Container Tracking, e-POD, Control Tower, Yard Management, Smart Locks, GPS, and other IoT devices, reflects our commitment to cutting-edge solutions. We empower manufacturers, shippers, retailers, and quick commerce companies with unparalleled visibility over their assets across modalities, all on a single platform.


With a proven track record, our solutions have successfully eradicated operational inefficiencies, slashed logistics costs, and elevated On-Time-In-Full (OTIF) deliveries. Experience tangible improvements in order-to-delivery TAT, along with reductions in dwell time and detention costs.


Benefit from our extended integrations with ULIP, providing additional insights through seamless connections with FASTag, Vahan, Sarathi, PCS, FOIS, ACMES, and ICEGATE.


As a global player, Intugine collaborates with 75+ enterprise leaders such as GE Healthcare, Signify, Flipkart, Mahindra Logistics, Titan, Diageo, Ultratech Cement, Bridgestone, and GMMCO.


If you're ready to be part of a dynamic team shaping the future of logistics, visit suitable opportunities through Cutshort

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Connect with the team

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Divya Pandya
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Christina Khokhar
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Shubham Vishwakarma

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I had an amazing experience. It was a delight getting interviewed via Cutshort. The entire end to end process was amazing. I would like to mention Reshika, she was just amazing wrt guiding me through the process. Thank you team.
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