Gen AI Developer – Google Gemini

Tata Consultancy Services; Bengaluru; On-site; INR 2,800,000 - 4,000,000; Full time

Job summary

Tata Consultancy Services is seeking an AI Engineer to design and deploy Generative AI solutions on Google Gemini and Vertex AI in a Bangalore-based role. You will build multimodal LLM applications, fine-tune models, and implement RAG strategies across enterprise systems.

Responsibilities include developing AI-powered microservices, integrating APIs, and monitoring performance and cost efficiency. Strong cloud and DevOps skills are essential.

Qualifications

• Proficient in Python/Node.js and cloud AI platforms.
• Experience with Gemini/Vertex AI and LLM-based applications.
• Hands-on with containerization, microservices, and CI/CD.
• Strong knowledge of data stores, APIs, and retrieval systems.

Responsibilities

• 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)
• Integrate AI with databases, knowledge bases, and enterprise systems
• Implement semantic search and contextual AI systems
• Monitor model performance, latency, and cost
• Ensure responsible AI practices and data privacy compliance

Skills

Python

Node.js

Google Gemini

Vertex AI

LangChain

LlamaIndex

GCP

Vector DB

SQL/NoSQL

Docker

Kubernetes

CI/CD

Job description

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

Good-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)
• Integrate AI with databases, knowledge bases, and enterprise systems
• Implement semantic search and contextual AI systems
• Monitor model performance, latency, and cost
• Ensure responsible AI practices and data privacy compliance