Gemini AI Developer/Lead

Job Description

Skill Set

• Gemini

• Total Experience :

• 5.00 to 9.00 Years

• No of Openings :

• 1

• Job Post Date :

• 05/06/2026

• Job Expiry Date :

• 31/07/2026

• Domain :

• IT

• Location :

• BENGALURU [India]

• Job Reference No :

• 4081841

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• Job Summary

• 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

• Tech Lead - Gemini

• Technical Skills

• 5+ 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

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