AI Prompt Engineering Consultant

🌐Helping Leaders Scale Digital, Ecommerce, Software & Consulting Talent 🌐

AI Prompt Engineering Consultant, 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

• 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+, Deep Seek).
• 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 (Auto Gen/CrewAI).
• Build agentic workflows with tool calling, memory systems, retrieval pipelines and structured reasoning.

• Integrate LLMs into applications using Lang Chain, Llama Index, Haystack, Auto Gen 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.
• Work with AI+ML pipelines through Azure ML, AWS Sage Maker, Vertex AI, Databricks, or Modal/Fly.io for lightweight LLM deployment.
• Utilize vector databases (Pinecone, Weaviate, Milvus, Chroma
  
  DB, pg Vector) and embedding stores.
• Use AI-powered dev tools (Git Hub Copilot, Cursor, Codeium, Aider, Windsurf) to accelerate iteration.
• Weights & Biases, MLflow, Lang Smith, Lang Fuse, Prompt Layer, Humanloop, Helicone, Arize Phoenix
• Benchmark and evaluate LLM systems using Ragas, Deep Eval and structured evaluation suites.

• Containerize and deploy workloads with Docker, Kubernetes, KNative and managed inference endpoints.
• Optimize model performance with quantization, distillation, caching, batching and routing strategies.

• Strong Python skills, with experience using Transformers, Lang Chain, Llama Index 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, Chroma
  
  DB).
• 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.

• Experience with Prompt Ops & LLM Observability tools (Prompt Layer, Lang Fuse, Humanloop, Helicone, Lang Smith).
• 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.

LLMs: GPT-4/5, Claude 3.x, Gemini 2.x, Mistral Large, LLaMA 3, Cohere Command R+, Deep Seek

Frameworks: Lang Chain, Llama Index, Haystack, Auto Gen, CrewAI

Tools: Git Hub Copilot, Cursor, Lang Smith, Lang Fuse, Weights & Biases, MLflow, Humanloop

Staffworx are a UK based Talent & Recruiting Partner, supporting Digital Commerce, Software and Value Add Consulting sectors across the UK & EMEA.

Location:

London, England, United Kingdom