QClairvoyance Quantum Labs
Full Stack AI Engineer
- Compensation
- Not disclosed
- Location
- Hyderabad
- Work setup
- Not specified
- Seniority
- Not specified
- Employment
- Not specified
- Experience
- Not specified
- Category
- Fullstack
- Posted
Skills
Full description
Job Summary :
We are looking for a highly skilled and passionate Full Stack AI Engineer who can design, develop, and deploy scalable, secure, and high-performance applications. The ideal candidate will have strong expertise in React.js, Python FastAPI, Microservices Architecture, Cloud Infrastructure, Database Optimization, and Generative AI solutions.
You will work on cutting-edge AI-driven products involving Conversational AI Agents, Agentic Workflows, LLM integrations, scalable backend systems, and cloud-native deployments.
Key Responsibilities :Full Stack Development :
- Design and develop modern, responsive, and scalable web applications using React.js, React Native, HTML5, CSS3, Tailwind CSS.
- Build interactive and high-performance UI components with advanced frontend frameworks.
- Implement state management solutions using Redux, Redux-Sagas, Saga Generator Functions.
- Experience with Three.js / 3D visualization frameworks will be an added advantage.
- Develop reusable components with focus on performance optimization and user experience.
Backend Development & System Engineering :
- Design and develop robust backend services using Python and FastAPI.
- Build scalable distributed applications using :
- RabbitMQ
- Celery
- Redis
- Python Multi-processing
- Develop highly efficient REST APIs following industry best practices.
- Implement secure, scalable Microservice Architecture.
- Apply strong software engineering concepts including :
- SOLID Principles
- Design Patterns
- Clean Code Practices
- Performance Optimization
Database Management & Optimization :
- Work with relational and non-relational databases :
- PostgreSQL
- MongoDB
- SQL / NoSQL Databases
- Vector Databases
- Perform database-level optimization including :
- Query Optimization
- Indexing Strategies
- Performance Tuning
- Data Modeling
- Manage high-volume data processing systems.
Cloud, DevOps & Infrastructure :
- Deploy and manage applications on cloud platforms (GCP preferred).