Found Description
- Design and develop Agentic AI workflows using LLMs, tools, planners, and memory components.
- Build and integrate LLM‑powered 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 applica...
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