
Prompt Engineer
2 weeks ago
Role & responsibilities:
Prompt Development and Optimization:
- Design, develop, and refine prompts to generate desired & relevant responses from AI models.
- Continuously test and iterate on prompts to improve quality and consistency.
- Experiment with different prompting techniques (e.g., few-shot, zero-shot, chain-of thought, self-validation, React) to achieve optimal results.
Model Selection and Usage:
- Select appropriate AI models based on project requirements, considering factors like model capabilities, cost, and latency.
- Effectively utilize the strengths and weaknesses of different models to achieve desired outcomes.
Prompt Vulnerability Assessment:
- Identify potential vulnerabilities in prompts, such as bias, hallucination, or adversarial attacks.
- Develop strategies to mitigate these vulnerabilities and ensure the safety and reliability of AI-generated content.
Evaluation and Improvement:
- Collaborate with teams to define evaluation metrics and methodologies.
- Analyze model performance and identify areas for improvement.
- Iterate on prompts and models to enhance overall performance.
Collaboration and Knowledge Sharing:
- Work closely with data scientists, machine learning engineers, and other stakeholders to understand project requirements and align prompt engineering strategies.
- Share knowledge and best practices within the team to foster a culture of continuous learning and improvement.
Preferred candidate profile:
- Experience with Python and the associated libraries.
- Good understanding of natural language processing (NLP) and machine learning foundation concepts.
- Proficiency in working with large language models (LLMs) like GPT-3.5, GPT-4o, or other advanced models.
- Experience with prompt engineering techniques and best practices.
- Ability to write clear, concise, and effective prompts.
- Strong analytical and problem-solving skills, with an eagerness to learn and adapt.
- Attention to detail and a commitment to quality.
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