Research and Development AI Prompt Engineer As a Research and Development AI Prompt Engineer, you will be at the forefront of creating and enhancing our software products. You will maximize the value of the R&D team's delivery in research, design, prototyping, and development of new features and solutions. In this role, you will focus on developing, optimizing, and finetuning AI prompts for various natural language processing (NLP) and generative AI systems. You will work closely with software engineers to improve model outputs, refine AI understanding, and ensure the quality and accuracy of generated content. As an AI Prompt Engineer, you'll play a key role in creating effective and efficient prompts that maximize the performance of AI models, particularly those focused on tasks such as anomaly detection, prediction, question answering, summarization, and more. Main Responsibility Areas:

• 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.

What you'll be doing:

• 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.

Key Skills & Competencies:

• Bachelor's or Master's degree in Computer Science, Software Engineering, Linguistics, AI, Data Science, or a related field. Advanced degrees and relevant certifications are a plus.
• Strong understanding of natural language processing (NLP) techniques and machine learning models (e.g., GPT, BERT, T5).
• Experience with AI prompt engineering, fine-tuning, and content generation tasks.
• Familiarity with large-scale pre-trained models, including transformers and generative models.
• Proficiency in programming languages such as Python, with a focus on libraries like Hugging Face, TensorFlow, PyTorch, or OpenAI's API. Troubleshooting skills.
• Familiarity with AI platforms and cloud computing services (e.g., AWS, GCP, Azure).
• Expertise in Atlassian Jira and Confluence tools as well as Microsoft SharePoint
• Excellent verbal and written communication skills. Ability to articulate technical concepts to both technical and non-technical stakeholders.
• Ability to work effectively in a collaborative team environment. Strong interpersonal skills and a proactive attitude.
• Ability to quickly learn and apply new technologies. Flexibility to adapt to changing priorities and project requirements.

About Us

Oliver Peters is an Equal Opportunity Employer. We do not discriminate based on race, religion, colour, sex, gender identity, sexual orientation, age, non-disqualifying physical or mental disability, national origin, ex-forces status or any other basis. All employment is decided based on qualifications, merit, and business need and we are committed to a fair hiring process. Apply To This Job