Full Stack Developer
Actively Reviewing the ApplicationsZithara.AI
India, Telangana, Hyderabad
Full-Time
INR 3–6 LPA
Posted 2 months ago
•
Apply by May 23, 2026
Job Description
Job Summary
We are looking for a Full Stack Developer with strong AI capabilities who can build real-time, intelligent applications. The role involves developing AI-powered chatbots, integrating analytics and ML models, and working with socket-based real-time communication.
Key Responsibilities
We are looking for a Full Stack Developer with strong AI capabilities who can build real-time, intelligent applications. The role involves developing AI-powered chatbots, integrating analytics and ML models, and working with socket-based real-time communication.
Key Responsibilities
- Build and maintain full-stack web applications using modern frameworks and Node.js.
- Develop AI-powered applications, including chatbots and intelligent assistants.
- Integrate and manage AI/ML models for analytics, automation, and insights.
- Implement real-time communication using WebSockets / Socket.IO.
- Design and develop REST and real-time APIs.
- Handle data processing and analytics workflows using Python and Pandas.
- Work with machine learning pipelines and model inference.
- Optimize applications for performance, scalability, and low latency.
- Collaborate with data scientists and product teams.
- Deploy and manage applications on AWS in Ubuntu/Linux environments.
- Monitor, debug, and improve system reliability.
- Node.js for backend development.
- PostgreSQL (mandatory) for database design and querying.
- Strong understanding of WebSockets / Socket.IO.
- Ability to call and integrate AI technologies/APIs.
- Familiarity with AWS services.
- Knowledge of working in Ubuntu/Linux.
- Solid understanding of algorithms and data structures.
- Experience with vector databases or semantic search.
- Knowledge of real-time analytics or event-driven systems.
- Familiarity with Lang Chain or AI orchestration frameworks.
- Experience with Java.
- Exposure to MLOps or model monitoring.
- Exposure of building AI applications and chatbots.
- Python with Pandas for data handling and analytics.
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