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Data Scientist
“In a climate this uncertain, Shakers gives you a layer of reassurance and confidence. What I like most, without a doubt, is the flexibility and getting to work on top-tier projects.”
Join ShakersShakers for expert talent
Projects where your prompts are code: versioned, evaluated and defended, not chat recipes. Shakers connects you with companies that need consistency, not tricks.
The trade reads in two places: the tricks guide that teaches you to ask better and the prediction that it will disappear. Neither tells how prompt-as-code lives inside a real company, engagement by engagement. Here is that.




















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Álvaro
Data Scientist
“In a climate this uncertain, Shakers gives you a layer of reassurance and confidence. What I like most, without a doubt, is the flexibility and getting to work on top-tier projects.”
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Amelia
AI Agent Developer
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Backend Developer & Data Engineer
“Shakers adds a lot of value because it connects you with sharper projects, already filtered and better defined. It saves you a big part of the upfront work of understanding the client, quoting and weighing up whether it is worth it, and that means that as a contractor you can go far more directly to the opportunities that genuinely fit you.”
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Software Developer
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AI Developer
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Toño
Product Designer
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Join ShakersA prompt engineer turns prompts into a product artefact: designing system prompts that set the model's behaviour, writing few-shot examples, versioning every change like code and evaluating the result before production. Not the person who writes well for ChatGPT: the one who guarantees the model behaves the same tomorrow as today. Context system design belongs to the context engineer; product integration to the AI Engineer.
You decide the system prompt that sets behaviour and the few-shot examples that anchor it. You decide what enters the evaluation battery and which change doesn't ship. You also decide what the prompt refuses to absorb: if the problem is the data the model receives, you say so at kickoff and knock on the context engineer's door.
Free to join, no hidden fees
Tell us who you are, what you can do, the projects you want to work on and what your availability and rate are.
We certify your experience and your use of AI so companies understand and trust what you bring.
We connect you with well-paid projects that fit your expertise and your preferences.
Work on real projects, with teams that need your expertise, without wasting time looking for opportunities.
Work with companies that need your stack and experience to take their projects to production.
Our AI matching connects your profile with the projects that fit your preferences.
Set your own terms based on your seniority. We manage contracts, payments and paperwork.
Shakers is hiring infrastructure: the project arrives with what the company needs its AI to do consistently, not a list of technologies.
You deliver the system prompt, the examples and the evaluation battery, including the case you dropped and why it stays out.
You set what gets re-evaluated when the model or prompt changes, and who answers for behaviour in production.
Having sustained prompts in production and being able to tell which evaluation saved you, and what you did when the model changed unannounced.
Recognising when the problem is the prompt's, the context's or the integration's: the honest frontier beats absorbing it all.
You set behaviour; you don't design the RAG or integrate the API. If the project needs that, you say so at kickoff and don't absorb it.
Any other questions? Write to us and we will reply.
The prompt nobody versions, the improvement that breaks another case and the injection nobody tested. The trade is learned with prompts in production: fewer viral recipes, more evaluation batteries.
971 live UK tech vacancies mention prompt engineer, according to Shakers' market analysis (n=39,811, September 2026), almost always inside AI Engineer titles. Whoever masters prompts finds projects in the collective, not ads with that title.
Prompt versus context: the prompt sets behaviour; context designs what the model receives. Both rows live at Shakers and cross paths on every agentic project.
Writing a good prompt is fast; proving it's still good after the last change is not. What the certification measures is discipline, not inspiration.
Four roles from the collective cross your path on a prompt project, from who integrates the model to who designs its context.
Integrates the model into your product: the APIs and application layer that consume the prompts your specialist designs.
When prompts move inside agents with tools and memory: the person who orchestrates the whole conversation.
Designs the data reaching the model's window: RAG, memory and curation. Behaviour is the prompt's; context is theirs.
The scripts that automate your evaluation and deployment when the process outgrows a notebook and needs a real pipeline.
The boundaries between these roles are agreed on each project: the title does not set them.
Take the next step with Shakers
Pass Shakers' certification and choose your prompt projects.