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Full Stack Developer (AI-Enabled Applications) (India)

Vrinda International

India5–8 yrs12 – 22 LPA (estimated)
Full-time

Posted 3 days agoBe an early applicant

Full Stack Developer (AI-Enabled Applications) (India)

India

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Experience

5–8 yrs

Salary

₹12 – 22 LPA (est.)

Job type

Full-time

Openings

1

Education

Any graduate

Apply by

11 Nov 2026

We are looking for a seasoned Full Stack Developer with AI expertise to design, build, and maintain AI-driven applications. The role involves architecting scalable full-stack solutions using TypeScript, JavaScript, HTML/CSS, integrating LLMs and generative AI, designing RAG pipelines, building secure cloud infrastructure on AWS/Azure, automating deployment with Terraform and shell scripts, developing RESTful APIs and microservices, ensuring responsible AI and data privacy, and using Python for automation.

  • Architect and develop scalable full‑stack applications using TypeScript, JavaScript, and modern HTML/CSS frameworks
  • Implement advanced AI capabilities by integrating LLMs and generative AI tools into core business workflows
  • Design and manage Retrieval‑Augmented Generation (RAG) pipelines to enhance application intelligence
  • Engineer secure cloud infrastructure on AWS or Azure, focusing on cloud‑native patterns and microservices architecture
  • Automate deployment and configuration processes through Terraform (HCL) and Shell scripting
  • Develop and maintain RESTful APIs and microservices for seamless communication between AI components and client applications
  • Embed security and data privacy protocols into the AI development lifecycle
  • Utilize Python to build automation scripts, integrate AI models, and manage API interactions
  • 6 to 9 years of software development experience in the IT Services industry
  • Proficiency in TypeScript, JavaScript, HTML/CSS, and Python
  • Hands‑on experience with Generative AI, LLMs, Prompt Engineering, and AI orchestration frameworks
  • Strong background in AWS or Azure cloud platforms, Terraform (HCL), and Shell scripting for infrastructure as code
  • Demonstrated ability to design and implement microservices, REST APIs, and cloud‑native architectures
  • Knowledge of Responsible AI practices, data privacy regulations, and security best practices for AI applications

Skills

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