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 modelsthrough REST, WebSockets, or gRPC, ensuring low latency, scalability, and reliable inference pipelines. Implement real-time AI featuressuch as chatbots, conversational UI, document processing apps, recommendation engines, and intelligent agents. Automate workflows using UiPath or similar orchestration toolswhen AI-driven tasks require robotic or enterprise automation. Develop and maintain reusable UI componentsfor prompt interfaces, model monitoring, and human-in-the-loop review flows. Write unit, integration, and end-to-end teststo ensure stability, correctness, and reliability across AI application layers. Optimize performance, manage deployments, and scale applicationsusing CI/CD pipelines, Docker, Kubernetes, and cloud-native infrastructure. Collaborate with AI/ML engineersto connect UI/UX requirements with underlying model behavior, context pipelines, and evaluation workflows.
Job Title
Machine Learning Engineer (Fullstack)