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Salary
$20k – $56k per year (Estimated)
Location
In office (Gurgaon)
Seniority
Senior · 5+ years exp
Employment
Internship
Overview
Company
Impact
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GreyOrange is a global technology company specializing in AI-driven robotic automation solutions for supply chain, logistics, and fulfillment centers. Their flagship platform, GreyMatter, orchestrates autonomous mobile robots (AMRs) and human workers in real time to optimize warehouse operations and inventory management. By automating complex fulfillment workflows, the company enables major global retailers and logistics providers to improve efficiency, accuracy, and operational throughput.

We are looking for a Backend AI Engineer with strong Java, RAG, and Agentic AI experience to work at the cutting edge of AI, data platforms, and enterprise problem-solving. This is a highly collaborative, client-facing engineering role where you will deploy AI-powered solutions directly into real-world operational environments. You will work closely with business stakeholders, leadership teams, and technical users to design and implement AI- and Foundry-powered systems that drive measurable outcomes.

Requirements:

  • Experience Range: 5-8 years.
  • Strong communication skills are essential, as this role requires direct interaction with global teams and enterprise stakeholders.
  • Solid foundation in artificial intelligence and machine learning, including model development and deployment.
  • Experience building solutions using modern AI/LLM platforms such as OpenAI and/or Anthropic.
  • Experience with Databricks or similar large-scale data and ML platforms.
  • Strong programming skills in Python and experience with ML frameworks (PyTorch, TensorFlow, Scikit-learn, etc. ).
  • Experience working with large, complex structured, and unstructured datasets.
  • Understanding of MLOps, production deployment, and model lifecycle management.
  • Excellent verbal and written communication skills; must be confident working with international and cross-functional teams.

Good to Have:

  • Experience building generative AI, agentic AI, or decision-intelligence systems.
  • Exposure to cloud platforms (AWS, Azure, or GCP).
  • Background in data engineering or distributed data systems.
  • Experience in client-facing or forward-deployed engineering roles.
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