Fullstack Engineer

1 day ago

Bengaluru, Karnataka, India Rakuten Full time ₹ 15,00,000 - ₹ 25,00,000 per year

Position: Fullstack Engineer

Experience: 5 8 Years

Location: Only local candidates i.e., Bangalore is preferrable for all the positions

About the Role

We are looking for a highly skilled Fullstack Engineer with hands-on experience in modern web technologies and a strong background in GenAI, AI/ML APIs, and LLM frameworks. The ideal candidate will have practical exposure to leveraging GenAI in day-to-day workwhether its building AI-powered applications, integrating AI/ML APIs, or using GenAI tools to write code, generate test cases, or automate documentation.

This role offers the opportunity to work on cutting-edge projects at the intersection of fullstack engineering and generative AI, enabling innovation and scalability.

Key Responsibilities

  • Design, develop, and deploy end-to-end fullstack applications using Python, , , , and TypeScript.
  • Integrate AI/ML APIs, LLM frameworks, and OpenAI APIs into production-grade applications.
  • Implement LangChain and other AI frameworks for intelligent application workflows.
  • Apply GenAI tools in day-to-day development for coding assistance, test automation, and documentation.
  • Collaborate with cross-functional teams to translate requirements into scalable technical solutions.
  • Ensure application performance, scalability, and maintainability.
  • Stay updated on the latest developments in GenAI, AI/ML, and fullstack technologies to bring innovation into projects.

Mandatory Skills

  • Proficiency in Python, , , JavaScript, TypeScript,
  • Strong experience with GenAI, AI/ML APIs, and LLM frameworks (OpenAI APIs, LangChain, etc.).

  • Proven track record of using GenAI in day-to-day work:

  • Building applications powered by GenAI.

  • Using GenAI for code generation, testing, or documentation.

  • Strong problem-solving skills with a deep understanding of software engineering best practices.

  • Experience in cloud deployment (AWS/GCP/Azure) is a plus.

Qualifications

  • Bachelors/Master's degree in Computer Science, Engineering, or a related field.
  • 5–8 years of relevant fullstack engineering experience, with at least 1–2 years in GenAI/AI-powered applications.

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