Full Stack Engineer AI
Scoutit Gurugram, Haryana, India
Job Description
"Join Scoutit as a Full Stack Engineer AI in Delhi NCR and revolutionize the future of AI-powered applications."
As a Full Stack Engineer AI at Scoutit, you will be at the forefront of building intelligent, scalable, and user-friendly applications that harness the power of modern AI technologies.
With a focus on delivering production-ready solutions that solve real business problems, you will work across frontend, backend, APIs, and AI integrations to create innovative applications that drive business growth.
Why you should learn this:
The demand for AI Full Stack Engineers is on the rise, with a projected 34% growth in job postings in the next 5 years.
Expected Salary: $120,000 - $180,000 per annum, depending on experience and qualifications.
How it works:
- Step 1: Collaborate with cross-functional teams to design and develop full stack web applications using modern frontend and backend technologies.
- Step 2: Integrate AI/ML capabilities, LLM APIs, embeddings, vector databases, and automation workflows into applications, ensuring seamless scalability and security.
Core Concepts to Master
Modern Frontend Technologies
Stay up-to-date with the latest frontend frameworks, libraries, and tools, such as React, Angular, and Vue.js, to build responsive and accessible user interfaces.
AI/ML Fundamentals
Develop a deep understanding of AI and machine learning concepts, including neural networks, deep learning, and natural language processing, to integrate AI capabilities into applications.
Cloud-Native Architecture
Design and implement scalable, secure, and efficient cloud-native architectures using containerization, serverless computing, and microservices to build robust backend components.
Interview Questions (Beginner)
- What are the key differences between front-end and back-end development?
- How do you approach debugging and troubleshooting in a full stack application?
- What are some best practices for securing web applications?
Job Overview
Advance Questions
- • Can you explain the concept of neural networks and how they are used in AI applications?
- • How do you optimize the performance of a full stack application for large-scale user traffic?
- • What are some common pitfalls to avoid when integrating AI/ML capabilities into web applications?