Gemini + RAG+ LLM+ Python + AI production support
Naukri · Bengaluru · onsite · Posted 65d ago
About a minute. You'll make an account on the way through.
About this role
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
Sourced from naukri
Skills
About Naukri

Naukri
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Noida, Uttar Pradesh
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