Hire an expert AI Engineer for LLM apps
An AI Engineer builds and maintains applications powered by large language models and other machine learning systems. They use specialized tools and libraries to design solutions that are efficient, scalable and tailored to the project's needs.
Tools & technologies
- Python
- Dbt
- Pandas
- Numpy
- Chatgpt
- Prompt Engineering
- Claude
- Google Cloud Platform
- Langchain
- Jupyter Notebooks
- Stable Diffusion
- Openai API
What they can do for your team
What a freelance AI Engineer (LLM Apps) does
An AI Engineer works with frameworks and AI APIs to develop solutions that combine natural language processing and machine learning. They use multiple languages and environments to build, test and document LLM-based applications.
Data Engineer
Structures and manages data pipelines that support AI-powered applications and analytics.
Python Developer
Codes solutions and automates tasks using Python and its core libraries.
Data Analyst
Specialist who cleans, analyzes and visualizes data to drive informed decision-making.
Typical responsibilities
Work you can delegate from day one.
Build scripts and models with Python, Numpy and Pandas.
Implement data workflows with Dbt and Jupyter Notebooks.
Integrate APIs such as OpenAI API and ChatGPT.
Deploy on platforms like Google Cloud Platform.
Apply prompt engineering techniques.
Explore advanced models with Langchain, Claude and Stable Diffusion.
Related profiles
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