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- Tasks: Create and refine AI prompts using Python and various NLP libraries.
- Company: Join a global leader in AI technology, shaping the future of conversational agents.
- Benefits: Enjoy a fully remote role with a competitive rate of £450/day for 3 months.
- Why this job: Be at the forefront of AI innovation, working on exciting projects that impact real-world applications.
- Qualifications: Deep Python skills and experience with LLMs, NLP libraries, and prompt engineering required.
- Other info: This is a contract role outside IR35, perfect for tech-savvy individuals looking to make a difference.
The predicted salary is between 45000 - 63000 £ per year.
Contract role
Rate: £450/day outside the IR35
Duration: 3 months
Location: London (Fully remote)
Our client is a global company which requires a talented prompt engineer.
Deep Python skills, LLMs or SSMs, NLP libraries like NLTK, SpaCy or text blob, etc.
Prompt Engineering:
- Zero-shot, few-shot, chain-of-thought and meta-prompting
Required experience:
- Strong data preparation and analysis experience to handle clean data and prepare for AI models
- Proven track record in building and testing AI prompts
- Craft target prompts for AI chatbots
- Write Python functions to interface with APIs
- Use OpenAI’s chat completions API
- Apply persona-driven prompt techniques with system messages
- Refine chatbot interactions using API query parameters
- Manage conversational context and token economy
- Design sequential step-by-step tasks for LLMs
- Evaluate AI responses to iteratively improve prompts
- Follow the cookbook but go beyond
- Enable the build of Agentic Workflows
- Using long Context Prompting for a chain of Thought
- Follow instructions
- Generate JSON data with structured outputs
- Full API reference
OPEN AI prompt Engineer employer: Careerwise
Contact Detail:
Careerwise Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land OPEN AI prompt Engineer
✨Tip Number 1
Familiarise yourself with the latest advancements in AI prompt engineering. Follow relevant blogs, forums, and social media channels to stay updated on best practices and emerging techniques that can set you apart from other candidates.
✨Tip Number 2
Engage with the AI community by participating in online discussions or contributing to open-source projects. This not only enhances your skills but also helps you build a network of professionals who might provide valuable insights or referrals.
✨Tip Number 3
Prepare to discuss specific examples of your previous work with AI prompts during interviews. Be ready to explain your thought process, the challenges you faced, and how you overcame them, as this demonstrates your practical experience and problem-solving abilities.
✨Tip Number 4
Showcase your Python skills by creating a small project that utilises OpenAI’s chat completions API. This hands-on experience will not only bolster your resume but also give you concrete examples to discuss in interviews, highlighting your technical capabilities.
We think you need these skills to ace OPEN AI prompt Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your deep Python skills and experience with LLMs, NLP libraries, and prompt engineering techniques. Use specific examples from your past work to demonstrate your expertise.
Craft a Strong Cover Letter: In your cover letter, explain why you're passionate about AI and how your background aligns with the requirements of the role. Mention your experience in building and testing AI prompts, and how you can contribute to the company's goals.
Showcase Relevant Projects: If you've worked on projects involving AI chatbots or API integrations, be sure to include these in your application. Describe your role, the challenges you faced, and the outcomes of your work.
Highlight Problem-Solving Skills: Emphasise your ability to evaluate AI responses and iteratively improve prompts. Provide examples of how you've managed conversational context and token economy in previous roles.
How to prepare for a job interview at Careerwise
✨Showcase Your Python Skills
Make sure to highlight your deep Python skills during the interview. Be prepared to discuss specific projects where you've used Python, especially in relation to AI and prompt engineering.
✨Demonstrate Your Knowledge of NLP Libraries
Familiarise yourself with NLP libraries like NLTK, SpaCy, and TextBlob. Be ready to explain how you've used these tools in past projects, particularly in data preparation and analysis for AI models.
✨Discuss Your Experience with Prompt Engineering
Prepare examples of your work with zero-shot, few-shot, and chain-of-thought prompting. Discuss how you've crafted effective prompts for AI chatbots and the impact they had on user interactions.
✨Be Ready to Talk About API Integration
Since the role involves interfacing with APIs, be prepared to discuss your experience writing Python functions for API calls. Highlight any specific instances where you’ve used OpenAI’s chat completions API or similar technologies.
