Gemini Developer

Technical Skills
- 5-10 years of relevant experience in AI and software development, with a proven track record of leading successful AI projects
- Build and manage high-performance REST APIs using FastAPI, including lifecycle events and Server-Sent Events (SSE).
- Develop scalable AI solutions using Azure AI Services, ensuring reliability and performance in production environments.
- Build, configure, and manage AI Agents using Azure AI Foundry and similar agent orchestration platforms.
- Write and integrate Python code for AI models, data ingestion pipelines, and automation workflows.
- Evaluate, integrate, and optimize multi-cloud AI capabilities, including Google Vertex AI and Gemini with grounding and a comprehensive understanding of GCP infrastructure services

Qualifications & Skills
- Languages:



Proficiency in JavaScript/TypeScript, Python, or Go.
- Frameworks/Libraries: Experience with React.js, Node.js, and contemporary CSS frameworks. Containerization (Docker/Kubernetes), CI/CD pipelines, and cloud services (Firebase, GCP) to deploy and maintain software.
- Databases: Strong skills in SQL and NoSQL databases (e.g., PostgreSQL, MongoDB).
- AI Technologies: Experience with Large Language Models (LLMs), AI Agent frameworks, and API orchestration.
- Tools: Git for version control and familiarity with Agile methodologies, AI tools like Gemini Code Assist to debug, analyze, and optimize code

📌 Gemini Developer (Bengaluru)
🏢 Naukri E-hire Campaign
📍 Bengaluru