- AI Agent Development : Design, develop, and deploy intelligent, agent-based solutions primarily using CrewAI or other LLM orchestration frameworks like LangChain, AutoGen, or Semantic Kernel.

- LLM Integration & Optimization : Work with various Large Language Models (LLMs) such as OpenAI, Anthropic, and Mistral, applying advanced prompt engineering techniques to maximize agent performance.

- Python Development : Write robust, efficient, and scalable code in Python, including extensive use of async programming and seamless API integration.

- Data & Orchestration : Integrate solutions with vector databases (e.g., Pinecone, FAISS, Chroma) and leverage embedding techniques to enhance agent capabilities.

- Production Deployment : Build and deploy production-ready agent-based systems, ensuring reliability, scalability, and security.

- Problem-Solving & Collaboration : Translate complex business requirements into clear technical designs and practical implementations. Collaborate effectively with cross-functional teams to deliver impactful AI solutions.

Required Skills & Experience :

- Experience : 58 years of hands-on experience in AI/ML or automation engineering.

- LLM Orchestration : Strong hands-on experience with CrewAI or other prominent LLM orchestration frameworks (e.g., LangChain, AutoGen, Semantic Kernel).

- Python Proficiency : Expert-level proficiency in Python, including async programming and API integration.

- LLM Understanding : Deep understanding of various LLMs (OpenAI, Anthropic, Mistral, etc.) and advanced prompt engineering techniques.

- Vector Databases : Familiarity with vector databases (e.g., Pinecone, FAISS, Chroma) and embedding concepts.

- Production Deployment : Proven experience building and deploying production-ready agent-based solutions.

- Problem-Solving : Strong problem-solving skills and the ability to translate business requirements into effective technical implementations.