- 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.