AI Engineer

Responsibilities:

1. Develop, maintain, and optimize AI applications using LLMs and RAG technologies.
2. Design and implement user interfaces with Streamlit to provide seamless and intuitive user experiences.
3. Build and integrate RESTful APIs for robust and scalable application interactions.
4. Experience in using Swagger with RESTful APIs interface.
5. Experience in SQL databases usage and maintenance.
6. Use Docker to containerize applications for consistency across development, testing, and production environments.
7. Collaborate with the software design team to implement and adhere to software design and testing workflows.
8. Utilize Git for version control and collaborative development.
9. Troubleshoot and resolve technical issues in a timely manner.

Qualifications and Skills:

1. Bachelor’s degree or equivalent in Computer Science, Data Science, or a related field.