Gen AI Developer – Google Gemini

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

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)

• 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