Design and develop Agentic AI workflows using LLMs, tools, planners, and memory components. Build and integrate LLMpowered applications using frameworks such as LangChain and LlamaIndex. Develop RESTful APIs and backend services using Django, Flask, FastAPI, Robyn Framework, or Vert.x. Implement Retrieval Augmented Generation (RAG) pipelines using vector databases and embeddings. Work on Machine Learning model development, including feature engineering and data preprocessing. Develop and maintain web applications and microservices with secure authentication (OAuth, JWT). Use Celery tasks for asynchronous processing and background AI workloads. Work with databases and search systems such as MySQL, Redis, ElasticSearch, and ScyllaDB. Containerize applications using Docker and support deployments on Kubernetes. Assist in model training, CI/CD pipelines, and cloud deployments on AWS. Collaborate in an agile team across the Software Development Life Cycle (SDLC). Requirements Bachelors degr...