Gemini + RAG+ LLM+ Python + AI production support

Location : Only Bangalore.

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

Client is expecting profiles of candidates with practical AI engineering experience rather than keyword or textbook knowledge.

Note :

The client expects candidates to explain one or two production projects in depth, including:

Business problem

Architecture

Technology decisions

Challenges

Trade-offs

Deployment

Lessons learned