Prompt Engineer

Key Responsibilities:

Prompt Design and Development: Create and optimize text prompts to guide AI models in generating desired outputs, ensuring high-quality results across diverse applications. Model Interaction: Collaborate with data scientists, machine learning engineers, and product teams to understand model capabilities, limitations, and areas of improvement. Testing and Evaluation: Conduct extensive testing of prompts to evaluate AI performance, iterating on designs to improve model accuracy, relevance, and creativity. Data Analysis: Analyze AI outputs, identify patterns of errors or successes, and use these insights to refine prompt engineering strategies. Documentation: Maintain detailed documentation of prompt designs, testing methodologies, and results to support knowledge sharing and continuous improvement. Research and Innovation: Stay up-to-date with the latest advancements in AI and NLP, experimenting with new approaches to prompt engineering and contributing to the development of cutting-edge AI technologies. Collaboration: Work closely with cross-functional teams, including UX/UI designers, product managers, and content creators, to align AI-generated content with business goals and user needs.

Qualifications:

Educational Background: Bachelor’s or Master’s degree in Computer Science, Linguistics, Mathematics, AI, or a related field. Equivalent work experience is also considered.

Technical Skills:

Proficiency in programming languages such as Python. Experience with NLP models, such as GPT, BERT, or similar large language models. Familiarity with AI/ML frameworks (e.g., TensorFlow, PyTorch). Creative Problem-Solving: Strong ability to think creatively about language and context, with an understanding of how to shape AI responses to meet specific objectives. Analytical Mindset: Ability to analyze and interpret AI-generated data, identify trends, and make data-driven decisions. Communication Skills: Excellent written and verbal communication skills, with the ability to articulate complex technical concepts to non-technical stakeholders. Attention to Detail: Meticulous attention to detail, ensuring precision in prompt design and evaluation. Passion for AI: A strong interest in AI, NLP, and the ethical implications of AI-generated content.

Preferred Qualifications:

Experience working with generative AI tools and platforms. Background in computational linguistics or cognitive science. Knowledge of human-computer interaction (HCI) principles.

Benefits:

Competitive salary and benefits package. Opportunity to work on cutting-edge AI projects. Collaborative and innovative work environment. Professional development and growth opportunities.

We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

Base Salary Max:: 102000