Senior Full Stack Developer

17 hours ago

Bengaluru, Karnataka, India Metawurks Full time ₹ 20,00,000 - ₹ 25,00,000 per year

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 ).
  • 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., , Python, Java, or Go).
  • Experience with frontend frameworks (e.g., React, Angular, ).
  • 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.

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