What are the responsibilities and job description for the Generative AI Engineer position at Zenith Infotek LLC?
- 3 years of experience in software development with Proficiency in programming languages such as Python, Java, or similar is essential for implementing and integrating prompt engineering solutions into existing AI systems.
- 2 years developing applications using AI, natural language processing, and speech recognition.
- Experience with Python and at least one Python web framework (e.g., Django, Flask).
- Experience with RESTful APIs and API integration.
- Skills in data analysis and statistical methods are valuable for assessing the performance of prompts, analyzing user interactions, and making informed adjustments to enhance the overall system.
- Comprehensive understanding of natural language processing techniques and tools, machine learning Principles, and AI-generated content development
- Conversational AI experience: Any of the following would be good: Kore.AI, Google Dialog Flow, Amelia, Yellow.AI
- Familiarity with popular conversational AI platforms and frameworks (e.g., TensorFlow, PyTorch, or Hugging Face Transformers) is beneficial for leveraging pre-trained models and integrating prompt engineering strategies effectively.
- Proven work experience as a Prompt Engineer or similar role
- High-level familiarity with architecture and operation of large language models
- Exceptional verbal and written communication skills for effective prompt design and collaboration with users, engineers, and product teams
- Experience in creative writing or content creation is a plus.