Gemini Developer

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 modern 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