Requirements Strong experience with LLMs such as OpenAI GPT, Anthropic Claude. Hands-on experience with agentic frameworks (LangChain, AutoGen) Proficient in Python and relevant AI libraries e.g., HuggingFace, Transformers, LangChain.

About the Role We are seeking a highly skilled and innovative AI Agent Developer with expertise in building intelligent agents using Large Language Models (LLMs) and integrating them with automation systems. The ideal candidate will have a deep understanding of prompt engineering, agent orchestration, tool integration, and automation workflows across APIs, web apps, and enterprise tools. Responsibilities Design, develop, and deploy AI agents powered by LLMs (e.g., GPT-4, Claude, Gemini). Integrate AI agents with tools, APIs, databases, and automation frameworks. Develop reusable prompt chains and workflows for common tasks and decision-making processes. Utilize frameworks such as LangChain, AutoGen, CrewAI, or Semantic Kernel to manage multi-agent architectures. Fine-tune or instruct LLMs for specific use-cases or industry applications. Optimize performance, reliability, and cost-efficiency of AI workflows. Collaborate with data scientists, product managers, and engineers to design end-to-end AI solutions. Implement automation in internal tools, customer interactions, or operational pipelines using AI agents. Requirements Must-Have: Strong experience with LLMs such as OpenAI GPT, Anthropic Claude, or Meta Llama. Hands-on experience with agentic frameworks (LangChain, AutoGen, CrewAI, etc.). Proficient in Python and relevant AI libraries (e.g., HuggingFace, Transformers, LangChain). Solid understanding of prompt engineering and retrieval-augmented generation (RAG). Knowledge of automation tools like Zapier, Make, Airflow, or custom Python automation. Experience working with APIs, webhooks, and data integrations. Nice-to-Have: Experience with vector databases (e.g., Pinecone, Weaviate, FAISS). Knowledge of fine-tuning or customizing open-source LLMs. Familiarity with cloud platforms (AWS, GCP, Azure) and deployment of AI solutions. Experience with UI/UX for chatbot or agent interfaces.