Machine Learning Engineer (Fullstack)

Build AI-powered user experiences by developing front-end interfaces and backend services that integrate LLMs, chatbots, and intelligent automation workflows.

Responsibilities

• Design and develop modern front-end interfaces (React, Angular, Streamlit) tailored for AI-driven workflows, chat interfaces, dashboards, and model output visualization.
• Build backend APIs and microservices (Node.js, Python Flask/FastAPI) to serve LLMs, RAG pipelines, vector DBs, and user-facing applications securely and efficiently.
• Integrate AI/ML models through REST, WebSockets, or gRPC, ensuring low latency, scalability, and reliable inference pipelines.
• Implement real-time AI features such as chatbots, conversational UI, document processing apps, recommendation engines, and intelligent agents.
• Automate workflows using UiPath or similar orchestration tools when AI-driven tasks require robotic o...