Generative AI Engineer - LLM Models

7 - 12 years

0 Lacs

Posted:4 days ago| Platform: Linkedin logo

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Work Mode

Remote

Job Type

Full Time

Job Description

Title : GenAI Engineer

Location : Bengaluru, Chennai, Hyderabad, Pune, Vadodara, Gujarat

Years of Exp : 7 to 12 Years

Employment Type : Full-time

Key Responsibilities

  • Architect and develop Generative AI-based applications using Azure OpenAI, Azure ML Studio, Azure Cognitive Search, and Azure Document Intelligence.
  • Build and optimize Retrieval-Augmented Generation (RAG) pipelines for enterprise search, knowledge management, and domain-specific Q&A systems.
  • Integrate Large Language Models (LLMs) into production applications with attention to performance, scalability, and governance.
  • Design intelligent workflows using LangChain, LlamaIndex, and Semantic Kernel for orchestrating multi-step AI interactions and agent behaviors.
  • Collaborate with data scientists, ML engineers, and DevOps to deploy, monitor, and manage cloud-native AI solutions.
  • Incorporate OCR capabilities and document understanding pipelines using Azure Form Recognizer and Document Intelligence.
  • Ensure AI models and pipelines comply with enterprise standards, data privacy, and responsible AI principles.
  • Lead proof-of-concepts (PoCs), rapid prototypes, and solution demos to validate GenAI use cases across departments.
  • Maintain a strong understanding of evolving LLM architectures, foundation models, and emerging GenAI techniques.
  • Contribute to technical documentation, best practices, and reusable solution accelerators.

Required Qualifications

  • Bachelor's or Masters degree in Computer Science, Artificial Intelligence, Data Science, or a related field.

Proven Experience With Azure AI Services, Including

  • Azure OpenAI
  • Azure Machine Learning Studio
  • Azure Cognitive Search
  • Azure Form Recognizer / Document Intelligence
  • Strong Python development skills, especially in the context of LLM pipelines and prompt engineering.
  • Expertise with GenAI libraries and tools such as:
  • LangChain
  • LlamaIndex
  • Semantic Kernel
  • Familiarity with RAG architecture, vector databases (e.g., FAISS, Redis, Azure Cognitive Search), and embedding models.
  • Experience with containerization (Docker) and cloud-native deployment pipelines using Azure DevOps, Kubernetes, or Terraform.
  • Understanding of Responsible AI principles, including bias mitigation, explainability, and model monitoring.
  • Excellent problem-solving and communication skills; ability to work in cross-functional agile teams.

Preferred Qualifications

  • Experience integrating agent-based frameworks for autonomous task execution and multi-agent collaboration.
  • Knowledge of other GenAI ecosystems like Hugging Face Transformers, Anthropic Claude, or Mistral models.
  • Background in enterprise content management, knowledge graphs, or intelligent document processing (IDP).

Azure Certifications Such As

  • Microsoft Certified: Azure AI Engineer Associate
  • Microsoft Certified: Azure Solutions Architect Expert

What We Offer

  • Opportunity to work on groundbreaking AI initiatives at enterprise scale.
  • Collaborative, fast-paced, and innovation-driven team culture.
  • Flexible work arrangements (remote/hybrid).
  • Competitive compensation, equity options, and comprehensive benefits.
(ref:hirist.tech)

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