Job Description

Role - Gen AI Developer – Google Gemini

Required Technical Skill Set - Python, Node.js , Google Gemini, Vertex AI

, Lang Chain, Llama Index , GCP (Cloud Run, Functions, Big Query) , Vector DB + SQL/NoSQL , Docker, Kubernetes, CI/CD

Desired Experience Range - 6 – 8 Yrs

Location of Requirement - Bangalore, Bhubaneswar

Positive-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