LLM Application Engineer

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• Design, develop, and deploy applications powered by Large Language Models (LLMs).
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• Build and optimize RAG (Retrieval-Augmented Generation) pipelines using vector databases and embedding models.
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• Integrate LLMs such as GPT, Claude, Gemini, Llama, and other foundation models into production applications.
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• Develop AI agents, chatbots, copilots, and intelligent automation solutions.
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• Engineer effective prompts and implement structured output, function calling, and tool-use workflows.
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• Fine-tune and evaluate LLMs for specific business use cases and improve accuracy, relevance, and reliability.
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• Work with Python, APIs, LangChain/LangGraph, vector databases, and cloud AI platforms.
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Qualifications

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• Bachelor’s degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, Information Technology, or a related field.
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• Strong coding in a variety of languages and technical communication skills
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• Strong programming skills in Python.
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• Knowledge of Machine Learning, Deep Learning, NLP, and Generative AI.
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