Generative AI Engineer

20 hours ago

Mumbai Maharashtra India, Maharashtra Tata Consultancy Services Full time

Responsibilities



AI Application Development:

  • Design and develop intelligent chatbots and conversational AI systems for various business applications
  • Build and deploy social media analysis tools using natural language processing and sentiment analysis
  • Implement AI-powered content generation and analysis systems
  • Create and maintain AI agents for task automation and workflow optimization


LLM Integration & Optimization:

  • Set up, configure, and fine-tune Large Language Models (LLMs) for specific use cases
  • Implement prompt engineering techniques to optimize model performance
  • Integrate various LLM APIs (OpenAI, Anthropic, Google, etc.) into applications
  • Develop custom model pipelines and orchestration workflows


Security & Governance:

  • Implement AI security guardrails and content filtering systems
  • Design and deploy safety mechanisms for AI-generated content
  • Ensure compliance with AI ethics and responsible AI practices
  • Monitor and mitigate potential risks in AI applications


Technical Infrastructure:

  • Build and maintain vector databases for semantic search and retrieval systems
  • Implement Retrieval-Augmented Generation (RAG) architectures
  • Work with Model Context Protocol (MCP) for enhanced AI capabilities
  • Design scalable AI systems and optimize performance for production environments


Framework & Tool Utilization:

  • Develop applications using LangChain and LangSmith frameworks
  • Build custom AI workflows and chains for complex use cases
  • Integrate with various AI/ML platforms and services
  • Maintain and optimize existing AI codebases



Qualifications


  • Bachelor’s degree in computer science, AI/ML, Data Science, or related technical field
  • Relevant certifications in AI/ML or cloud platforms are a plus.
  • Continuous learning mindset with up-to-date knowledge of AI trends


Required Skills


  • Programming: Proficiency in Python with experience in AI/ML libraries
  • GenAI Frameworks: Hands-on experience with LangChain, LangSmith, or similar frameworks
  • LLM Integration: Experience setting up and working with various LLMs (GPT, Claude, Gemini, etc.)
  • Vector Databases: Knowledge of Pinecone, Weaviate, Chroma, or similar vector storage solutions
  • AI/ML Libraries: Familiarity with HuggingFace Transformers, OpenAI API, Anthropic API
  • Data Processing: Experience with pandas, numpy, and data preprocessing techniques
  • APIs & Integration: RESTful API development and third-party service integration


Preferred Skills


  • 1-2 years of hands-on experience in Generative AI or related AI/ML fields
  • Proven track record of building and deploying AI applications in production
  • Experience with at least 2-3 major GenAI projects or use cases
  • Experience with cloud platforms (AWS, GCP, Azure) for AI/ML workloads
  • Knowledge of containerization (Docker, Kubernetes) for AI application deployment
  • Background in social media analytics and content moderation
  • Experience with multi-modal AI applications (text, image, audio)
  • Knowledge of AI agent frameworks and autonomous systems
  • Understanding of enterprise AI governance and compliance requirements
  • Strong problem-solving abilities and analytical thinking
  • Excellent communication skills for technical and non-technical stakeholders
  • Ability to work in fast-paced, iterative development environments
  • Collaborative mindset for cross-functional team projects

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