Role - Gen AI Developer – Google Gemini Required Technical Skill Set - Python, Node.js , Google Gemini, Vertex AI

, LangChain, LlamaIndex , GCP (Cloud Run, Functions, BigQuery) , Vector DB + SQL/NoSQL , Docker, Kubernetes, CI/CD Desired Experience Range - 6 – 8 Yrs Location of Requirement - Bangalore, Bhubaneswar Valuable-to-Have - Google Cloud, AI Engineering Role responsibility: •Design and implement Generative AI solutions using Google Gemini APIs and Vertex AI

•Build applications leveraging LLMs (text, code, multimodal models)

•Fine-tune and optimize foundation models for domain-specific use cases

•Develop conversational AI systems (chatbots, agents, assistants)

•Create, test, and refine prompts for Gemini models

•Implement prompt chaining, few-shot learning, and RAG (Retrieval Augmented Generation)





•Optimize responses for accuracy, relevance, and cost-efficiency

•Integrate Gemini APIs into enterprise applications (web, mobile, backend systems)

•Develop microservices and APIs for AI solutions

•Deploy models on Google Cloud (Vertex AI, Cloud Functions, Cloud Run)

•Build pipelines for document ingestion, embeddings, vector search

•Integrate AI with databases, knowledge bases, and enterprise systems

•Implement semantic search and contextual AI systems

•Monitor model performance, latency, and cost

•Implement safety, compliance, and bias mitigation techniques

•Ensure responsible AI practices and data privacy compliance

📌 Gen AI Developer – Google Gemini (Bengaluru)
🏢 Tata Consultancy Services
📍 Bengaluru