AI Prompt Engineer (technical engineering)
Posted 1 day ago by Staffworx
Negotiable
Outside
Remote
London, England, United Kingdom
Summary: The AI Prompt Engineer role focuses on designing and optimizing prompts for advanced language models and architecting systems that leverage generative AI workflows. The position requires expertise in integrating LLMs into applications and developing scalable deployment solutions. Candidates should possess strong technical skills in Python and familiarity with various AI and ML tools and frameworks. The role emphasizes creativity, communication, and a systems-thinking approach to tackle challenges in the rapidly evolving field of generative AI.
Key Responsibilities:
- Design, test, and optimize prompts for leading frontier models (e.g., GPT-4/5, Claude 3.x).
- Apply advanced prompting strategies and build agentic workflows with tool calling and memory systems.
- Integrate LLMs into applications using frameworks like LangChain and develop high-performance RAG pipelines.
- Work with AI+ML pipelines for lightweight LLM deployment and utilize vector databases.
- Implement LLMOps/PromptOps and benchmark LLM systems using structured evaluation suites.
- Containerize and deploy workloads with Docker and Kubernetes, optimizing model performance.
Key Skills:
- Strong Python skills and experience with Transformers and the GenAI ecosystem.
- Deep understanding of LLM behavior, prompt optimization, and data preparation workflows.
- Experience with vector databases and hands-on knowledge of Linux and cloud environments.
- Strong communication skills and a systems-thinking mindset.
- Curiosity and adaptability to stay ahead in the field of GenAI.
Salary (Rate): undetermined
City: London
Country: United Kingdom
Working Arrangements: remote
IR35 Status: outside IR35
Seniority Level: undetermined
Industry: IT
AI Prompt Engineer, Technically Sharp & Systems-Minded
Deesign and optimize prompts, architect LLM-powered systems and deploy scalable GenAI workflows that connect people and intelligent systems in new, high-impact ways.
THE ROLE
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 and 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.
EXPERIENCE
- Strong Python skills, with experience using Transformers, LangChain, LlamaIndex and the broader GenAI ecosystem and prompt engineering experience.
- 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.
BENEFICIAL
- 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
Staffworx are a UK based Talent & Recruiting Partner, supporting Digital Commerce, Software and Value Add Consulting sectors across the UK & EMEA.
Remote Working
Some remote working
Country United Kingdom
Location London and home
Reference swx1616915prompt
Start Date Jan 26
Duration 6-12 months initial, outside IR35
Rate market rates, outside IR35
Visa Requirement Applicants must be eligible to work in the specified location