LLM Application Engineer

Design, develop, and deploy applications powered by Large Language Models (LLMs). Build and optimize RAG (Retrieval-Augmented Generation) pipelines using vector databases and embedding models. Integrate LLMs such as GPT, Claude, Gemini, Llama, and other foundation models into production applications. Develop AI agents, chatbots, copilots, and intelligent automation solutions. Engineer effective prompts and implement structured output, function calling, and tool-use workflows. Fine-tune and evaluate LLMs for specific business use cases and improve accuracy, relevance, and reliability. Work with Python, APIs, LangChain/LangGraph, vector databases, and cloud AI platforms . Qualifications Bachelor’s degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, Information Technology, or a related field. Strong coding in a variety of languages and technical communication skills Strong programming skills in Python . Knowledge of Machine Learning, Deep Learning, NLP, and Generative AI . Show more Show less