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LLM Engineer - Azure AI Platform

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Experience : 4-6 YearsLocation : Pune/Gurgaon (Hybrid)

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Shifts : 1-10 PM / 3 PM-12 AM

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Job Summary

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Develop and deploy Large Language Model (LLM) solutions on Azure Databricks for enterprise AI applications. Build scalable AI pipelines with Agentic AI capabilities, operationalize models on Azure Cloud , and ensure production reliability through monitoring and DevOps practices.

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Key Responsibilities

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- Design, fine-tune, and deploy LLMs for production use cases (RAG, chatbots, semantic search)
- Build Agentic AI workflows using LangSmith/LangGraph (positive-to-have)
- Develop Python data pipelines and ML workflows on Azure Databricks (ADB)
- Perform Azure Cloud operations - model deployment, scaling, A/B testing
- Implement CI/CD pipelines using YAML,



GitHub Actions/Jenkins (basic DevOps)
- Create monitoring dashboards using Grafana or similar tools
- Write complex KQL/SQL queries for Azure Data Explorer (ADX) and data analysis
- Optimize LLM inference performance, manage token usage, implement caching
- Collaborate with data scientists, DevOps, and platform teams for end-to-end deployment

Qualifications n

- BE/BTech/ME/MTech - Computer Science, Data Science, or related fields
- 4-6 years hands-on experience in LLM/AI development
- Strong Python and Azure ecosystem experience
- Excellent problem-solving and code quality focus

Apply on Kit Job: kitjob.in/job/434nmf

📌 LLM Engineer (Nellore)
🏢 Suitable Ai
📍 Nellore