This is a remote position.
We are seeking an AI Prompt Engineer for a contract role with one of our clients in the Financial Services industry. This is a six (6) month assignment with the possibility of extension.Prompt Design & Optimization: Develop, refine, and optimize AI prompts for large language models (LLMs) to achieve desired outputs across various use cases.
Experimentation & Testing: Conduct A/B testing of different prompt structures to evaluate effectiveness and fine-tune responses.
Data Analysis & Model Interaction: Analyze AI responses, identify patterns, and adjust prompts for improved accuracy, coherence, and relevance.
Cross-functional Collaboration: Work closely with data scientists, software engineers, content teams, and product managers to align AI outputs with business objectives.
AI Model Fine-Tuning: Collaborate with ML teams to train and fine-tune AI models, leveraging prompt engineering techniques to enhance performance.
Ethical AI Implementation: Ensure that generated responses align with ethical guidelines, company policies, and industry standards.
Documentation & Best Practices: Maintain a comprehensive repository of tested prompts, strategies, and guidelines to drive continuous improvement.
Requirements
- Bachelor's or Master’s degree in Computer Science, Linguistics, AI, Data Science, or a related field (or equivalent experience).
- Strong understanding of natural language processing (NLP), machine learning, and AI models (especially LLMs like GPT, Claude, Gemini, or Mistral).
- Proven experience in prompt engineering, AI interaction design, or AI content generation.
- Familiarity with AI frameworks and APIs such as OpenAI API, Hugging Face, Anthropic, or Google AI.
- Ability to analyze AI-generated outputs and iterate prompts for improved clarity, bias mitigation, and accuracy.
- Strong problem-solving skills with an ability to experiment and refine approaches iteratively.
- Python proficiency is a plus (for scripting, data analysis, or integrating with AI APIs).
Preferred Qualifications:
- Experience with fine-tuning AI models and Reinforcement Learning from Human Feedback (RLHF).
- Knowledge of AI safety, bias detection, and ethical considerations in AI deployments.
- Background in linguistics, cognitive science, or UX writing is a plus.
- Prior experience in technical writing, chatbot development, or AI-driven content generation.