Artificial Intelligence Engineer

TCS is Hiring for Generative AI Engineer @ Mumbai (Thane) Location Job Title: Generative AI Engineer Location: Mumbai (Thane) Experience : 1-3 Yrs Job Overview : We are seeking a talented Generative AI Engineer with 1-2 years of experience to join our team and drive the development of cutting-edge AI solutions. The ideal candidate will have hands-on experience building Gen AI applications and a strong foundation in modern AI technologies and frameworks. Technical Skills Required: Experience with cloud platforms (AWS, GCP, Azure) for AI/ML workloads Knowledge of containerization (Docker, Kubernetes) for AI application deployment 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 Soft Skills 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 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

Location: thane, IN

Posted Date: 6/16/2025