Full Stack AI Engineer

Full Stack AI Engineer

Interview Process Round 1: Technical Interview Round 2: Karat Assessment Final Step: Client Interview (upon clearing both rounds)

Job Summary

We are seeking a highly skilled Full Stack AI Engineer with strong expertise in Python, FastAPI, React.js, and Large Language Models (LLMs) to design and build scalable, AI-powered applications. The ideal candidate will have deep experience in building modern microservices architectures and developing intelligent solutions leveraging Generative AI.

Key Responsibilities

• Backend Development
• Design and develop scalable backend services and RESTful APIs using Python (3.x) and FastAPI
• Build and maintain microservices architecture
• Develop API integrations for AI/ML-driven applications
• Ensure performance, scalability, and reliability of backend systems
• AI / Machine Learning
• Develop and integrate LLM-based solutions (e.g., OpenAI, Azure OpenAI, Claude)
• Implement RAG (Retrieval-Augmented Generation) pipelines and vector search solutions
• Apply prompt engineering and agentic workflows for AI-driven capabilities
• Optimize model performance, latency, and response quality
• Frontend Development
• Develop responsive and dynamic user interfaces using React.js (Hooks, state management)
• Build interactive components such as chatbots, dashboards, and AI assistants
• Integrate APIs and handle real-time/streaming data

Required Skills

• Strong hands-on experience in Python (3.x)
• Expertise in FastAPI for API and microservices development
• Solid frontend development experience using React.js
• Experience with REST APIs and microservices architecture
• Hands-on experience with Large Language Models (LLMs) and Generative AI

Key Deliverables

• Develop and deploy new microservices
• Build scalable AI-powered application components
• Deliver robust API integrations and AI functionalities