Full Stack AI Engineer – Job Description and Key Roles
Job Description
A Full Stack AI Engineer designs, develops, deploys, and maintains AI-powered applications across the entire technology stack. This role combines traditional full-stack development skills with expertise in artificial intelligence, machine learning, cloud services, APIs, and modern AI frameworks.
The engineer is responsible for building user-facing applications, developing backend services, integrating AI models, managing databases, deploying solutions to production, and ensuring scalability, security, and performance.______________
Technical Skills:
- Python, JavaScript, TypeScript
- React, Next.js, Node.js, FastAPI
- Generative AI, LLMs, Prompt Engineering
- LangChain, LlamaIndex, RAG
- TensorFlow, PyTorch
- PostgreSQL, MongoDB, Redis
- AWS, Azure, Docker, Kubernetes
- REST APIs, GraphQL
- Git, CI/CD
Full Stack AI Engineer
Develop and maintain AI-powered applications by combining full-stack software development with artificial intelligence technologies. Build scalable front-end and back-end systems, integrate LLMs and machine learning models, develop APIs, manage databases, deploy cloud-based solutions, and optimize application performance while ensuring security and scalability. Suitable candidates should possess strong expertise in full-stack development, AI/ML frameworks, cloud platforms, and modern software engineering practices.
Pay: ₹700,000.00 - ₹1,000,000.00 per year
Work Location: In person
