AI Prompt Engineer

4 days ago


Little London, United Kingdom Good Chemical Science&Technology Co.Ltd. Full time

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 Youll 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. Youll Bring Strong Python skills, with experience using Transformers, LangChain, LlamaIndex, and the broader GenAI ecosystem. Deep understanding of LLM behavior, 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 #J-18808-Ljbffr


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