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AI developer

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Onsite

AI developer

Naukri E Hire Campaign

AI developer

Skills

Google Cloud PlatformSQL QueriesFirebaseMongoDBDockerReactNodeTypescriptPythonGolangPostgreSQLGitAIKubernetesFastAPIJavascriptAzure

2 months ago

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Important information


Contract type:

Permanent

Location:

Bengaluru, Karnataka, India

Work mode:

Onsite

Published on:

18 August 2026

What they need


Hiring for AI Engineerrole in Bangalorelocation.

Please find below the details:

  • Mandate skills- Gemini+ RAG + LLM+ Python + AI production support
  • Experience- 5 to 10 yr
  • Notice period- Immediate to 30 days (serving- 45 days)
  • Interview rounds & mode- 2 technical round ( Virtual) & 1 Customer round (F2F)
  • Location- Bangalore
  • Shift timings- General shift
  • Work mode- Hybrid (3 days WFO- client location)
  • Qualification- Any graduate

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

Thanks & Regards

Naukri

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