Application Programming Interface (API), Artificial Intelligence (AI), Conversation Engine, Machine Learning, Microservices, Microsoft Windows Azure, Modeling Languages, Performance Modeling, Performance Tuning/Optimization, Python Programming/Scripting Language, REST (Representational State Transfer), React.js, Reporting Dashboards, Scalable System Development, Software Engineering, Systems Reliability, User Interface/Experience (UI/UX)
Interview Process
Round 1: Technical Interview
Round 2: Karat Assessment *Please include the CWR's email on their resume
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