Fullstack Developer

9 - 14 years

10 - 15 Lacs

Posted:1 week ago| Platform: Naukri logo

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Work Mode

Remote

Job Type

Full Time

Job Description

Full Stack Developer (Python & JavaScript) AI Experience

Location:

Employment Type:

Experience Required: 9-14 Years

Job Summary

Full Stack Developer

Key Responsibilities

  • Design, develop, and maintain

    full-stack web applications

    using Python and JavaScript
  • Build and optimize

    backend services

    using frameworks such as

    Django, Flask, or FastAPI

  • Develop

    frontend interfaces

    using

    React, Next.js, Vue.js, or Angular

  • Integrate

    AI/ML models

    into applications (prediction APIs, NLP, recommender systems, chatbots, etc.)
  • Work with

    RESTful APIs and GraphQL

    for data exchange
  • Collaborate with data scientists to deploy and monitor ML models in production
  • Optimize application performance, scalability, and security
  • Write clean, maintainable, and testable code
  • Participate in code reviews and system design discussions
  • Deploy and manage applications on

    cloud platforms

    (AWS, GCP, Azure)

Required Skills & Qualifications

  • Strong proficiency in

    Python

  • Solid experience with

    JavaScript (ES6+)

  • Frontend frameworks:

    React / Next.js / Vue / Angular

  • Backend frameworks:

    Django / Flask / FastAPI

  • Experience with

    AI/ML concepts

    (supervised/unsupervised learning, NLP, LLMs, etc.)
  • Hands-on experience with

    AI libraries

    such as

    TensorFlow, PyTorch, Scikit-learn, Hugging Face

  • Database experience with

    PostgreSQL, MySQL, MongoDB

  • Familiarity with

    Docker and CI/CD pipelines

  • Understanding of

    authentication, authorization, and security best practices

Preferred / Nice-to-Have Skills

  • Experience with

    LLMs, ChatGPT/OpenAI APIs, LangChain, vector databases (Pinecone, FAISS, Weaviate)

  • Knowledge of

    MLOps tools

    (MLflow, Airflow, Kubeflow)
  • Experience with

    microservices architecture

  • Exposure to

    cloud-native services

    and serverless computing
  • Knowledge of

    data visualization

    and analytics tools

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