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For Companies At a Glance
- Tasks: Design and optimise AI prompts, build LLM applications, and deploy innovative GenAI solutions.
- Company: Join a forward-thinking tech company at the forefront of Generative AI.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Why this job: Be part of a cutting-edge team shaping the future of AI technology.
- Qualifications: Strong Python skills and experience with LLMs and data engineering.
- Other info: Dynamic environment with a focus on creativity and collaboration.
The predicted salary is between 36000 - 60000 £ per year.
You will design and optimize prompts, build LLM-powered applications, and deploy scalable GenAI solutions that connect people and intelligent systems in new ways.
What You’ll Do
- Design, test, and refine prompts for leading LLMs (GPT-4/5, Claude, Gemini, Mistral, LLaMA, Cohere).
- Experiment with advanced prompting techniques; Chain-of-Thought, ReAct, Tree-of-Thoughts, and more.
- Deploy AI/ML pipelines using Azure ML, AWS SageMaker, Vertex AI, or Databricks.
- Integrate LLMs into production apps using LangChain, LlamaIndex, and RAG architectures.
- Build APIs and microservices for scalable AI deployment.
- Use AI-powered dev tools like GitHub Copilot, Cursor, and Codeium to speed up iteration.
- Apply MLOps/LLMOps practices with MLflow, Weights & Biases, and Kubeflow.
You’ll Bring
- Strong Python skills and experience with LangChain, Transformers, Hugging Face.
- Solid grasp of LLM behaviour, prompt optimization, and data engineering.
- Familiarity with vector databases (FAISS, Pinecone, ChromaDB).
- Hands-on with Linux, Bash/Powershell scripting, cloud environments.
- Creative problem-solver with excellent communication and collaboration skills.
- Curious, adaptable, and passionate about staying at the edge of Generative AI.
Nice to Have
- Experience with PromptOps tools (PromptLayer, Humanloop, LangFuse).
- Knowledge of ethical AI, bias mitigation, responsible AI principles.
- Bachelor's or Master's degree in Computer Science, AI/ML or related field.
Tech Stack
- LLMs: GPT-4/5, Claude, Gemini, Mistral, LLaMA, Cohere
- Frameworks: LangChain, LlamaIndex, Haystack
- Tools: GitHub Copilot, Cursor, PromptLayer, Weights & Biases
- Cloud: Azure ML, AWS SageMaker, Google Vertex AI, Databricks
- Infra: Python, Docker, Kubernetes, SQL, PyTorch
AI Prompt Engineer - Future Talent in Chesterfield employer: Staffworx Limited
Contact Detail:
Staffworx Limited Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Prompt Engineer - Future Talent in Chesterfield
✨Tip Number 1
Network like a pro! Reach out to folks in the AI and tech community, attend meetups, and connect on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving prompt engineering and LLMs. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by practising common technical questions related to AI and prompt engineering. We recommend doing mock interviews with friends or using online platforms to get comfortable with the format.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are genuinely interested in joining our team.
We think you need these skills to ace AI Prompt Engineer - Future Talent in Chesterfield
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your strong Python skills and experience with LLMs in your application. We want to see how you've used tools like LangChain and Hugging Face in real projects, so don’t hold back!
Be Creative with Your Prompts: Since the role involves designing and optimizing prompts, share examples of your creative problem-solving. We love seeing innovative approaches, so if you've experimented with advanced prompting techniques, let us know!
Tailor Your Application: Take a moment to tailor your application to our job description. Mention specific experiences that align with deploying AI/ML pipelines or integrating LLMs into production apps. It shows us you’re genuinely interested!
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of applications better and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at Staffworx Limited
✨Know Your LLMs
Make sure you’re well-versed in the latest LLMs like GPT-4/5, Claude, and others mentioned in the job description. Familiarise yourself with their strengths and weaknesses, and be ready to discuss how you’ve used them in past projects or how you would approach prompt design for each.
✨Show Off Your Python Skills
Since strong Python skills are a must, prepare to demonstrate your coding abilities. Brush up on relevant libraries and frameworks like LangChain and Hugging Face. You might even want to bring a small project or code snippet to discuss during the interview.
✨Experiment with Prompting Techniques
Be ready to talk about advanced prompting techniques such as Chain-of-Thought and Tree-of-Thoughts. Think of examples where you’ve successfully implemented these methods, and be prepared to brainstorm new ideas on the spot.
✨Discuss Your MLOps Experience
If you have experience with MLOps tools like MLflow or Weights & Biases, make sure to highlight that. Discuss how you’ve integrated these practices into your workflow and how they can enhance AI deployment in real-world applications.