AI Prompt Engineer
@ Easy2Employ, LLC

Hybrid
$120,000
Hybrid
Full Time
Posted 1 day ago

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XXXXXXXX XXXXXXXXXXX XXXXXXXX***** @easy2employ.com
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Job Details

About the AI Prompt Engineer Role

The AI Prompt Engineer at Easy2Employ, LLC is a creative and passionate individual with a strong AI and NLP background. The candidate will design, develop, and implement effective prompts for various AI models, while collaborating with team members to integrate these into larger AI systems.

Responsibilities

  • Design and develop effective prompts for AI models.
  • Conduct experiments and optimize prompt performance.
  • Analyze experimental results to refine prompt designs.
  • Collaborate with engineers and researchers.
  • Stay current with AI and NLP advancements.
  • Contribute to best practices and guidelines.
  • Maintain and improve prompt libraries.
  • Document and share prompt engineering techniques.

Requirements and Experience

Candidates should possess 1-3 years of experience in AI and NLP, with a focus on prompt generation or similar fields. Experience with LLMs such as GPT-3 or LaMDA, agile development, and version control (Git) is essential.

Skills and Education

  • Strong programming skills in Python or Java.
  • Knowledge of AI frameworks like TensorFlow, PyTorch, or Keras.
  • Familiarity with cloud platforms (AWS, GCP).
  • Solid grounding in machine learning and data analysis.
  • Excellent problem-solving and communication skills.
  • Bachelor's degree or higher in Computer Science, AI, Data Science, or related fields.

Key skills/competency

  • AI
  • NLP
  • Prompt Engineering
  • Python
  • LLMs
  • Agile
  • Git
  • TensorFlow
  • Data Analysis
  • Collaboration
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How to Get Hired at Easy2Employ, LLC

🎯 Tips for Getting Hired

  • Customize your resume: Highlight AI and NLP prompt projects.
  • Showcase relevant skills: Emphasize Python and model experience.
  • Research Easy2Employ: Learn about company culture and projects.
  • Prepare for technical interviews: Be ready to discuss prompt strategies.

📝 Interview Preparation Advice

Technical Preparation

Review prompt engineering basics.
Practice Python coding challenges.
Experiment with LLMs in labs.
Study AI model evaluation metrics.

Behavioral Questions

Describe teamwork experiences in development.
Explain problem-solving challenges faced.
Discuss handling project deadlines.
Share experience adapting to change.

Frequently Asked Questions