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Generative AI Engineer
Not specifiedNot specifiedAI Engineering
Design, develop, and optimize Generative AI engines, with a focus on agent applications and RAG systems. Collaborate with multidisciplinary teams to turn business needs into scalable technical solutions.
Responsibilities
- Design, develop, and implement Generative AI engines, including agent applications and RAG systems.
- Translate business requirements into technical solutions in collaboration with multidisciplinary teams.
- Optimize and fine-tune Generative AI agents for performance and scalability.
- Stay current with developments in Generative AI.
Requirements
- At least 2 years of Generative AI experience, particularly with agent applications and RAG architecture.
- Bachelor’s or master’s degree in computer science, engineering, or a related field.
- Strong understanding of foundation models, prompt engineering, and content filtering for production models such as Claude, GPT, or Gemini.
- Proficiency in Python or R, and practical experience with machine learning frameworks such as PyTorch or TensorFlow.
- Experience with data preprocessing, feature engineering, model evaluation, AI engine optimization, and fine-tuning.
- Ability to work independently and communicate effectively.