Prompt engineers who make your LLMs actually work in production.
Specialists who design, test, and optimise prompts for RAG systems, AI agents, and LLM APIs — improving output quality, reducing hallucinations, and cutting inference costs.
Prompt engineering roles we place.
Prompt Engineer
Design and iterate system prompts, few-shot examples, and chain-of-thought structures for production LLM applications.
LLM Optimisation Specialist
Reduce token usage, latency, and cost while maintaining output quality — across OpenAI, Anthropic, Gemini, and open-source models.
RAG Prompt Architect
Design the retrieval and generation prompts for RAG pipelines — improving recall, reducing hallucinations, and handling edge cases.
AI Agent Prompt Designer
Build tool-use prompts, agent personas, and multi-step reasoning chains for autonomous LLM agents and workflows.
How it works.
Define your LLM challenge
Tell us which models you're using, what outputs you need, and where your current prompts are failing — quality, cost, or reliability.
- 20-minute call
- Written scope in 4 hours
- No commitment to start
Matched in 48 hours
We match you with a prompt engineer who has worked on your model provider and use case.
- Model-matched
- Production experience
- Reference-checked
Measurable improvements fast
Your prompt engineer works against eval benchmarks, iterating until quality and cost targets are met.
- Eval-driven iteration
- A/B tested prompts
- Documented reasoning chains
Common questions.
Better prompts mean better AI products.
Book a free 20-minute scoping call. We'll scope your prompt engineering needs and match you in 48 hours.