Looking for an LLM Developer with knowledge of Agentic AI Frameworks like CrewAI and AutoGen, RAGs

ProjectPro.io is changing how data developers get their work done. We help developers get their work done faster by providing a curated library of reusable, ready-made project solutions. Hi, I am the Co-founder of ProjectPro.io - we help Data Scientists learn and get their work done faster by providing ready-made reusable project templates. Role Overview: Position: Part-time Freelance LLM Developer Duration: Approximately 4–6 weeks per project Compensation: Competitive, per-project basis Position: Part-time Freelance LLM Developer Duration: Approximately 4–6 weeks per project Compensation: Competitive, per-project basis Note - The exact amount of compensation will be based on the use case, its complexity and a number of other factors. Experienced Professionals preferred. We're expanding our portfolio to include AI-driven projects tailored for the BFSI (Banking, Financial Services, and Insurance) sector. These projects will leverage cutting-edge multi-agent frameworks such as CrewAI and AutoGen to simulate real-world financial scenarios and workflows. Responsibilities: Design and develop LLM-based projects utilizing agentic AI frameworks (e.g., CrewAI, AutoGen) Implement scalable LLM solutions on cloud platforms (AWS, Azure) Incorporate Retrieval-Augmented Generation (RAG) techniques for enhanced data retrieval Produce a series of explanatory videos to guide users through the project solutions Design and develop LLM-based projects utilizing agentic AI frameworks (e.g., CrewAI, AutoGen) Implement scalable LLM solutions on cloud platforms (AWS, Azure) Incorporate Retrieval-Augmented Generation (RAG) techniques for enhanced data retrieval Produce a series of explanatory videos to guide users through the project solutions Design and develop LLM-based projects utilizing agentic AI frameworks (e.g., CrewAI, AutoGen) Implement scalable LLM solutions on cloud platforms (AWS, Azure) Incorporate Retrieval-Augmented Generation (RAG) techniques for enhanced data retrieval Produce a series of explanatory videos to guide users through the project solutions Required Qualifications: Strong foundation in Deep Learning and hands-on experience with Large Language Models (LLMs) Proficiency in agentic AI frameworks such as CrewAI, AutoGen, or similar Experience with cloud platforms like AWS or Azure for deploying scalable LLM applications Ability to create clear and concise instructional videos Strong foundation in Deep Learning and hands-on experience with Large Language Models (LLMs) Proficiency in agentic AI frameworks such as CrewAI, AutoGen, or similar Experience with cloud platforms like AWS or Azure for deploying scalable LLM applications Ability to create clear and concise instructional videos Preferred Qualifications: Background in developing AI solutions for the BFSI sector Thanks, Binny LAMP stack, Machine Learning, Big Data