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- Tasks: Design and optimise AI prompts, build scalable GenAI workflows, and integrate LLMs into applications.
- Company: Join Good Chemical Science & Technology Co. Ltd, a leader in innovative tech solutions.
- Benefits: Competitive pay, flexible work options, and opportunities for professional growth.
- Other info: Dynamic entry-level role with exciting career advancement potential.
- Why this job: Be at the forefront of AI technology and make a real impact in the industry.
- Qualifications: Strong Python skills and experience with AI/ML tools and frameworks.
The predicted salary is between 36000 - 60000 ÂŁ per year.
Join to apply for the AI Prompt Engineer role at Good Chemical Science & Technology Co. Ltd. Be among the first 25 applicants.
AI Prompt Engineer – Technically Sharp & Systems-Minded
You’ll design and optimize prompts, architect LLM-powered systems, and deploy scalable GenAI workflows that connect people and intelligent systems in new, high-impact ways.
What You’ll Do
- Prompting & Reasoning Systems: Design, test, and optimize prompts for leading frontier models (GPT‑4/5, Claude 3.x, Gemini 2.x, Mistral Large, LLaMA 3, Cohere Command R+, DeepSeek). Apply advanced prompting strategies: Chain‑of‑Thought, ReAct, Tree‑of‑Thoughts, Graph‑of‑Thoughts, Program‑of‑Thoughts, self‑reflection loops, debate prompting, multi‑agent orchestration (AutoGen / CrewAI). Build agentic workflows with tool calling, memory systems, retrieval pipelines, and structured reasoning.
- GenAI Application Engineering: Integrate LLMs into applications using LangChain, LlamaIndex, Haystack, AutoGen and OpenAI’s Assistant API patterns. Build high‑performance RAG pipelines using hybrid search, reranking, embedding optimization, chunking strategies, and evaluation harnesses. Develop APIs, microservices, and serverless workflows for scalable deployment.
- ML/LLM Engineering: Work with AI/ML pipelines through Azure ML, AWS SageMaker, Vertex AI, Databricks, or Modal / Fly.io for lightweight LLM deployment. Utilize vector databases (Pinecone, Weaviate, Milvus, ChromaDB, pgVector) and embedding stores. Use AI‑powered dev tools (GitHub Copilot, Cursor, Codeium, Aider, Windsurf) to accelerate iteration. Implement LLMOps / PromptOps using Weights & Biases, MLflow, LangSmith, LangFuse, PromptLayer, Humanloop, Helicone, Arize Phoenix. Benchmark and evaluate LLM systems using Ragas, DeepEval, and structured evaluation suites.
- Deployment & Infrastructure: Containerize and deploy workloads with Docker, Kubernetes, KNative and managed inference endpoints. Optimize model performance with quantization, distillation, caching, batching, and routing strategies.
You’ll Bring:
- Strong Python skills, with experience using Transformers, LangChain, LlamaIndex, and the broader GenAI ecosystem.
- Deep understanding of LLM behaviour, prompt optimization, embeddings, retrieval, and data preparation workflows.
- Experience with vector DBs (FAISS, Pinecone, Milvus, Weaviate, ChromaDB).
- Hands‑on knowledge of Linux, Bash/Powershell, containers, and cloud environments.
- Strong communication skills, creativity, and a systems‑thinking mindset.
- Curiosity, adaptability, and a drive to stay ahead of rapid advancements in GenAI.
Nice to Have:
- Experience with PromptOps & LLM Observability tools (PromptLayer, LangFuse, Humanloop, Helicone, LangSmith).
- Understanding of Responsible AI, model safety, bias mitigation, evaluation frameworks, and governance.
- Background in Computer Science, AI/ML, Engineering, or related fields.
- Experience deploying or fine‑tuning open‑source LLMs.
Tech Stack:
- LLMs: GPT‑4/5, Claude 3.x, Gemini 2.x, Mistral Large, LLaMA 3, Cohere Command R+, DeepSeek
- Frameworks: LangChain, LlamaIndex, Haystack, AutoGen, CrewAI
- Tools: GitHub Copilot, Cursor, LangSmith, LangFuse, Weights & Biases, MLflow, Humanloop
- Cloud: Azure ML, AWS SageMaker, Google Vertex AI, Databricks, Modal
- Infra: Python, Docker, Kubernetes, SQL/NoSQL, PyTorch, FastAPI, Redis
Seniority level: Entry level
Employment type: Contract
Job function: Information Technology
Industries: Software Development
AI Prompt Engineer employer: Good Chemical Science&Technology Co.Ltd.
Contact Detail:
Good Chemical Science&Technology Co.Ltd. Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Prompt Engineer
✨Tip Number 1
Get your networking game on! Reach out to folks in the AI and tech community, especially those who work at Good Chemical Science&Technology Co.Ltd. A friendly chat can sometimes lead to a referral, which is like having a secret weapon in your job search.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repository showcasing your projects related to AI prompt engineering. 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 questions and scenarios related to AI and prompt engineering. We recommend doing mock interviews with friends or using online platforms to get comfortable with the process.
✨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, it shows you’re genuinely interested in the role and the company.
We think you need these skills to ace AI Prompt Engineer
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your CV and cover letter for the AI Prompt Engineer role. Highlight your experience with LLMs, prompt optimisation, and any relevant projects you've worked on. We want to see how your skills align with what we're looking for!
Show Off Your Skills: Don’t hold back on showcasing your technical skills! If you’ve got strong Python skills or experience with tools like LangChain or Docker, make it clear. We love seeing candidates who can demonstrate their expertise in the GenAI ecosystem.
Be Creative: This role is all about innovation, so let your creativity shine through in your application. Share any unique approaches you've taken in past projects or how you’ve solved complex problems. We’re looking for thinkers who can bring fresh ideas to the table!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, it shows us you’re serious about joining our team at Good Chemical Science & Technology Co. Ltd!
How to prepare for a job interview at Good Chemical Science&Technology Co.Ltd.
✨Know Your Tech Stack
Familiarise yourself with the specific technologies mentioned in the job description, like GPT-4/5 and LangChain. Be ready to discuss how you've used these tools in past projects or how you would approach using them in this role.
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've tackled complex problems, especially in AI and ML contexts. Use the STAR method (Situation, Task, Action, Result) to structure your responses and highlight your systems-thinking mindset.
✨Demonstrate Your Curiosity
Express your enthusiasm for staying updated with advancements in GenAI. Share any recent articles, tools, or frameworks you've explored, and how they could apply to the role. This shows you're proactive and passionate about the field.
✨Practice Prompt Engineering
Since the role focuses on prompt design and optimisation, practice crafting prompts for various scenarios. Be prepared to discuss your thought process behind different prompting strategies and how they can impact model performance.