Must Have Skills:

- Strong Python programming and problem-solving skills.

- Hands-on experience building production-grade applications using Python.

- Experience with LangChain and LangGraph frameworks.

- Strong understanding of RAG (Retrieval Augmented Generation) architectures.

- Experience designing and implementing Multi-Agent AI systems.

- Knowledge of memory management concepts including conversational memory, checkpoints, persistence, and long-term/short-term memory systems.

- Hands-on experience with Apache Spark / PySpark for distributed processing.

- Experience building REST APIs and integrating LLM-based applications.

- Strong understanding of OOP, concurrency, and scalable application design.

Good to Have:

- Vector Databases (Pinecone, ChromaDB, FAISS, Weaviate).

- Azure OpenAI / OpenAI APIs.

- FastAPI.

- Cloud Platforms (AWS/Azure/GCP).

- LLM Evaluation Frameworks.

Key Skills:

- Python, Problem Solving, LangChain, LangGraph, RAG (Retrieval Augmented Generation), Multi-Agent Systems, Memory Management (Conversational/Checkpoint/Persistence), Apache Spark, PySpark, REST APIs, LLM Integration, Object-Oriented Programming (OOP), Concurrency, Scalable Application Design, Vector Databases (Pinecone, ChromaDB, FAISS, Weaviate), Azure OpenAI, OpenAI API, FastAPI, Cloud Platforms.