Python

Mandatory Skills:
8-10 years of exp. Strong proficiency in Python, SQL and experience with data processing libraries (e.g., Pandas, PySpark). Familiarity with Generative AI frameworks like LangChain, LangGraph, or similar tools. Experience integrating APIs from pre-trained AI models (e.g., OpenAI, Cohere, Hugging Face). Solid understanding of data structures, algorithms, and distributed systems. Experience with vector databases (e.g., Pinecone, Postgres). Familiarity with prompt engineering and chaining AI workflows. Understanding of MLOps practices for deploying and monitoring AI applications. Strong problem-solving skills and ability to work in a collaborative environment. Good to have: Experience with Streamlit to build application front-end. Job Description We are looking for an experienced Python Developer with expertise in Spark, SQL, data processing, and building Generative AI applications. The ideal candidate will focus on leveraging existing AI models and frameworks (e.g., LangChain, LangGraph) to create innovative, data-driven solutions. This role does not involve designing new AI models but rather integrating and utilizing pre-trained models to solve real-world problems. Key Responsibilities: Develop and deploy Generative AI applications using Python and frameworks like LangChain or LangGraph. Work with large-scale data processing frameworks like Apache Spark, SQL to prepare and manage data pipelines. Integrate pre-trained AI models (e.g., OpenAI, Hugging Face, Llama) into scalable applications. Understands ML - NLP concepts and algorithms with an exposure to Scikit-learn Pytorch. Collaborate with data engineers and product teams to design AI-driven solutions. Optimize application performance and ensure scalability in production environments.