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