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Senior Full Stack Developer (RAG-based AI Application Development) Job Opening In bangalore – Now Hiring Metawurks

Senior Full Stack Developer (RAG based AI Application Development)

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Job description

Job Title:  Senior Full Stack Developer (RAG-based AI Application Development)

Experience:  5-8 Years

Job Description:

We are seeking a highly skilled and experienced Senior Full Stack Developer with a strong background in developing Retrieval-Augmented Generation (RAG) based AI applications.

The ideal candidate will have 5-8 years of hands-on experience in full stack development, with a proven track record of building, deploying, and maintaining advanced AI-driven solutions.

You will work closely with data scientists, AI engineers, and product teams to design and implement scalable, robust, and high-performance applications that leverage the latest advancements in RAG and generative AI.


Key Responsibilities:

  • Design, develop, and maintain end-to-end web applications with a focus on RAG-based AI solutions.

  • Collaborate with AI/ML engineers to integrate retrieval and generation models into production systems.

  • Architect scalable backend services and APIs to support AI-driven features.

  • Develop intuitive and responsive front-end interfaces using modern JavaScript frameworks (e.g., React, Angular, or Vue.js).

  • Optimize application performance, scalability, and security.

  • Implement best practices for code quality, testing, and continuous integration/deployment (CI/CD).

  • Mentor junior developers and participate in code reviews.

  • Stay up-to-date with the latest trends in AI, RAG, and full stack development.


Required Skills & Qualifications:

  • Bachelor’s or Master’s degree in Computer Science, Engineering, or related field.

  • 5-8 years of professional experience as a Full Stack Developer.

  • Strong proficiency in backend technologies (e.g., Node.js, Python, Java, or Go).

  • Experience with frontend frameworks (e.g., React, Angular, Vue.js).

  • Deep understanding of RAG (Retrieval-Augmented Generation) architectures and their application in AI systems.

  • Hands-on experience integrating LLMs (e.g., OpenAI GPT, Llama, etc.) with retrieval mechanisms (e.g., vector databases, Elasticsearch, Pinecone, FAISS).

  • Familiarity with cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes).

  • Experience with RESTful and GraphQL APIs.
  • Strong knowledge of database systems (SQL and NoSQL).

  • Excellent problem-solving, communication, and teamwork skills.


Preferred Qualifications:

  • Experience with MLOps tools and workflows.

  • Familiarity with data pipelines and ETL processes.

  • Prior experience in deploying and scaling AI/ML models in production environments.

  • Contributions to open-source AI or RAG projects.

Required Skill Profession

Other General


  • Job Details

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