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**Greetings from Tata Consultancy Services Recruitment Team!** \\*Face to Face\\* Interview for all those **Generative AI Developer** we are coming bigger with the plan of **Face to Face Drive on 8th August,2026 (Saturday) in Kolkata** It is a Face to Face interview planned to attract great Talents in **Generative AI Developer.** We believe that your skills and expertise are a better match for the skills we are looking for. Skill: **Generative AI Developer (Face to Face)** Years of experience: **6 to 12 Years** Location **:TCS Delta Park – Lords Building, Tata Consultancy Services (TCS), Plot C, Block EP & GP, Salt Lake Electronics Complex, Sector V (Bidhannagar), Kolkata, West Bengal –700091, India** Date: **8th July,2026 (Saturday) (Face to Face)** Drive Time: **9 AM to 2 PM** \\*\\* Ex TCS Employees are not eligible to apply. \\*\\* Candidates from Kolkata and Nearby locations are eligible to apply. **JD for Gen AI Engineer** 6 to 152years of experience (2+ years in AI/Gen AI is must). Locations: Kolkata Required Skills: - Degree in computer science, artificial intelligence, or IT. - Strong knowledge of Generative AI concepts including foundation models / LLMs, embeddings, and NLP fundamentals used in GenAI solutions. - Design, implement, and optimize GenAI applications (LLM-powered services) for real business use-cases, with focus on accuracy, efficiency, and scalability. - Hands-on prompt engineering (e.g., zero/few-shot, Chain-of-Thought, Tree-of-Thought, prompt templates) and ability to evaluate and refine prompts based on output quality. - Build Retrieval-Augmented Generation (RAG) solutions, including retrieval strategy integration and prompt + retrieval orchestration patterns. - Experience with agent / app evaluation practices—evaluate model and agent performance for GenAI use-cases (quality, effectiveness, benchmarking). - Cloud-based GenAI platform experience (e.g., AWS / Azure / GCP) for building and deploying scalable GenAI solutions with high availability and performance. - MLOps / LLMOps-aligned practices: CI/CD, monitoring, logging, and version control for deploying and operating GenAI systems in production. - Proficiency in programming languages such as Python, .Net or Java, with experience in relevant libraries and frameworks (e.g., TensorFlow, PyTorch, Keras).