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Arishi - Artificial Intelligence Engineer - LLM / RAG

Arishi - Artificial Intelligence Engineer - LLM / RAG

Arishi Media Technologies LtdIndore
17 days ago
Job description

About the Role :

We are seeking a highly skilled AI Developer with deep expertise in integrating locally trained AI / ML models into enterprise-grade production systems. The ideal candidate must have strong experience with Azure cloud infrastructure, hands-on knowledge of the Model Context Protocol (MCP), proven experience leveraging AI Foundry, and in-depth expertise in Generative AI (GenAI) for building and deploying enterprise-ready solutions.

Key Responsibilities

  • Integrate and optimize locally trained AI / ML and Generative AI models within enterprise applications.
  • Architect, build, and maintain scalable AI solutions using Azure services (Azure ML, Azure Kubernetes Service, Azure Functions, etc.).
  • Implement and manage AI integration workflows leveraging the Model Context Protocol (MCP).
  • Use AI Foundry to design, orchestrate, and operationalize AI workflows across multiple environments.
  • Develop and integrate Generative AI solutions (LLMs, RAG, embeddings, fine-tuning) into production systems.
  • Collaborate with cross-functional teams to design and implement AI-driven features in enterprise applications.
  • Ensure enterprise-grade scalability, security, and performance in deployed AI systems.
  • Work with Azure DevOps for CI / CD pipelines, monitoring, and lifecycle management of AI solutions.
  • Provide technical expertise on AI model deployment, retraining workflows, and integration with enterprise applications.

Required Skills & Experience

  • Proven experience as an AI Developer / AI Engineer in enterprise environments.
  • Strong hands-on experience with Azure AI / ML ecosystem (Azure Machine Learning, Azure Databricks, Cognitive Services, Azure Synapse, etc.).
  • In-depth expertise in Generative AI (GenAI) including LLMs, RAG, embeddings, fine-tuning, and custom deployments.
  • Hands-on expertise with Model Context Protocol (MCP) for connecting and orchestrating AI systems.
  • Experience using AI Foundry to standardize and manage AI solutions at scale.
  • Deep understanding of model deployment & integration (ONNX, APIs, containers, microservices).
  • Proficiency in Python (preferred) and familiarity with ML frameworks (TensorFlow, PyTorch, Scikit-learn).
  • Experience with MLOps practices (CI / CD, monitoring, retraining, governance).
  • Nice to Have

  • Knowledge of data pipelines using Azure Data Factory, Synapse, or Databricks.
  • Experience in enterprise security compliance and scalable multi-tenant architectures.
  • (ref : hirist.tech)

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