Generative AI Developer

3 weeks ago

Chennai, India Tata Consultancy Services Full time

Greetings from TCS


TCS is hiring for Generative AI Developer - Azure


Job Title: Generative AI Developer (Azure)

Experience - 10-16 years

Location - PAN India


Role Overview

We are seeking a highly skilled Generative AI Developer with strong expertise in Azure cloud, Python programming, and hands-on experience building LLM-based applications. The ideal candidate will have practical knowledge of Prompt Engineering, Fine-Tuning, RAG (Retrieval Augmented Generation) architectures, LangChain frameworks, and Agentic AI systems. You will be responsible for designing, developing, and deploying scalable AI-powered solutions that drive innovation and business impact.

Key Responsibilities

  • AI/LLM Development
  • Build, customize, and deploy Generative AI models on Azure AI/ML ecosystem (Azure OpenAI, Azure ML, Cognitive Search).
  • Develop RAG-based solutions using vector databases and enterprise knowledge bases for context-enriched AI responses.
  • Implement Agentic AI frameworks (LangChain, Semantic Kernel, or similar) for reasoning, orchestration, and multi-step task execution.
  • Conduct model fine-tuning (LoRA, PEFT, domain-specific training) for enterprise and industry-focused use cases.
  • Prompt Engineering & Optimization
  • Design and optimize prompts for high accuracy, consistency, and cost efficiency.
  • Establish prompt libraries and reusable templates for multiple business scenarios.
  • Evaluate LLM responses and continuously refine prompt strategies.
  • Programming & Automation
  • Develop scalable, production-ready AI solutions in Python using frameworks such as PyTorch, TensorFlow, Hugging Face, LangChain.
  • Integrate Generative AI models into enterprise workflows, APIs, and applications.
  • Build CI/CD pipelines for AI workloads on Azure DevOps or GitHub Actions.
  • Apply DataOps/MLOps best practices for monitoring, retraining, and deployment automation.
  • Collaboration & Governance
  • Work closely with cloud architects, data engineers, and business stakeholders to ensure smooth integration.
  • Ensure compliance with AI ethics, data privacy, and governance policies.

  • Provide technical leadership and mentor junior engineers in AI best practices.

Required Skills & Experience

  • Excellent knowledge of Azure cloud services (Azure OpenAI, Azure Cognitive Services, Azure ML, Azure Data Lake, Azure Cognitive Search).
  • Strong Python programming expertise with AI/ML libraries (PyTorch, Hugging Face, Transformers).
  • Proven hands-on experience in Generative AI, including model training, deployment, and evaluation.
  • Expertise in Prompt Engineering and Prompt Optimization.
  • Strong knowledge of RAG architecture and vector databases (Pinecone, FAISS, Weaviate, Milvus, Azure Cognitive Search).
  • Familiarity with LangChain or other orchestration frameworks for building LLM-powered apps.
  • Experience with Agentic frameworks for autonomous AI systems.
  • Knowledge of CI/CD, containerization (Docker, Kubernetes), and MLOps practices.

Preferred Qualifications

  • Bachelor’s/Master’s degree in Computer Science, Data Science, or related field.
  • Cloud certifications such as Microsoft Certified: Azure AI Engineer Associate or Azure Data Scientist Associate.
  • Experience in multimodal AI (image, speech, video generation) is a plus.
  • Familiarity with other cloud AI platforms (AWS, GCP) for multi-cloud environments.

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