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Job Summary
We are seeking a skilled Full Stack Developer with strong experience in Python, JavaScript, and AI/ML-driven applications. The ideal candidate will design, develop, and maintain scalable web applications while integrating AI capabilities such as machine learning models, data pipelines, or LLM-based features into production systems.
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
Job Types: Full-time, Permanent
Pay: ₹373,755.09 - ₹1,597,877.92 per year
Benefits:
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Work Location: Remote
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