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Data & AI Developer

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NTT DATA

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Location:
India , Bangalore

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Category:
IT - Software Development

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Contract Type:
Employment contract

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Salary:

Not provided
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Job Description:

We are looking for a skilled Data & AI/Full Stack Developer with 4–8 years of industry experience to design and develop modern applications leveraging LLM, Generative AI, and cloud-native technologies. The ideal candidate should have strong programming skills, hands-on experience with data pipelines, ETL, advanced analytics & AI/LLM platforms, and expertise in building scalable applications on public cloud platforms.

Job Responsibility:

  • Design, develop, and deploy scalable applications using Python or Java
  • Build responsive and modern user interfaces using React.js
  • Develop data pipelines using modern toolsets on public cloud platform
  • Develop AI-powered solutions using LLM technologies such as Vertex AI, Gemini, or similar platforms
  • Implement Retrieval-Augmented Generation (RAG) architectures and work with vector databases, embeddings, and semantic search
  • Integrate AI capabilities into enterprise applications and APIs
  • Work with cloud platforms (GCP preferred) for deployment, scaling, and monitoring applications
  • Collaborate with cross-functional teams including data engineers, architects, and product teams
  • Ensure best practices for code quality, security, and performance optimization

Requirements:

  • 4–8 years of experience in software development & data workflow development
  • Strong programming skills in Python and/or Java and SQL
  • Hands-on experience with React.js for front-end development
  • Good understanding of Data Lake, Data Pipeline, ETL/ELT
  • Experience with Generative AI / LLM technologies (Vertex AI, Gemini, OpenAI, or similar)
  • Good understanding of RAG frameworks, embeddings, vector databases, and prompt engineering
  • Experience working with public cloud platforms (GCP preferred, AWS/Azure acceptable)
  • Knowledge of API development and microservices architecture

Nice to have:

  • Experience with Relational Databases (RDBMS)
  • Exposure to Kubernetes / containerized deployments
  • Familiarity with CI/CD pipelines and DevOps practices
  • Experience working in AI-driven or data-intensive applications

Additional Information:

Job Posted:
May 16, 2026

Employment Type:
Fulltime
Work Type:
Remote work
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