Generative AI Engineer

2 days ago

Mumbai, India Tata Consultancy Services Full time

ResponsibilitiesAI 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 optimizationLLM 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 workflowsSecurity & 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 applicationsTechnical 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 environmentsFramework & 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 codebasesQualifications- 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 trendsRequired 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 integrationPreferred 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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