Experience: 1-5 years
Commitment: 4 hours/day
Main Responsibility Areas:
- Prompt Design and Optimization
- Develop, test, and optimize natural language prompts for a variety of tasks, ensuring that AI models produce accurate, contextually relevant, and high-quality responses
- Experiment with different prompt engineering techniques, strategies, and styles to improve AI model outputs in various scenarios (e.g., anomaly detection, chatbot interactions, code generation, etc.)
- Analyze and refine existing prompts to ensure the desired AI model behavior
- AI Model Fine-tuning
- Collaborate with R&D and Professional Services software engineers to fine-tune pre-trained models using custom prompts for specific business requirements or user needs.
- Conduct prompt-based testing and validation to assess model performance and quality.
- Develop feedback loops to iteratively improve prompt designs based on model output quality.
- Performance Optimization: Analyze AI model outputs and fine tune prompts to improve accuracy and performance.
- Work closely with R&D software engineers to integrate prompt-engineered models into production systems and applications.
- Partner with product managers and UX/UI designers to understand user needs and ensure that AI-generated content aligns with user expectations and business goals.
- Document prompt engineering strategies, guidelines, and best practices.
- Maintain detailed records of model performance metrics and improvements over time.
- Provide regular updates to stakeholders on prompt optimization results and model performance.
- Stay up-to-date with the latest trends and techniques in AI, NLP, and prompt engineering.
- Create prototypes and proof-of-concept models to demonstrate the feasibility and potential of new ideas.
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