AI GenAI Engineer
Job Summary
The AI/GenAI Engineer will be responsible for developing and implementing solutions using Python, LLMs, and RAG architectures. This role requires mid-level expertise to design and optimize prompt engineering workflows. You will work in a hybrid environment to drive innovation in generative AI applications.
Responsibilities
- Develop AI/GenAI applications using Python
- Implement and fine-tune LLMs
- Build RAG architectures
- Execute Prompt Engineering
Required Skills
- Python
- LLMs
- RAG
- Prompt Engineering
Job Details
Responsibilities:
- Design, develop, and deploy AI/GenAI applications using Python.
- Implement and fine-tune Large Language Models (LLMs) to meet business requirements.
- Build and maintain RAG (Retrieval-Augmented Generation) architectures for data retrieval.
- Engage in advanced Prompt Engineering to optimize model performance and output quality.
Requirements:
- Proven experience (2-3 years) in AI/GenAI development.
- Proficiency in Python programming.
- Deep understanding of LLMs and RAG frameworks.
- Experience with Prompt Engineering techniques.
- Ability to work effectively in a hybrid team setting.