Álvaro
Data Scientist
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Join ShakersShakers for expert talent
Projects where the knowledge the AI receives is yours: what gets retrieved, what gets remembered and what gets curated. Shakers connects you with companies whose AI needs to know their business.
The trade reads in two places: the post that coined the term and the guides listing its five layers. Neither tells how a real company's knowledge is sustained inside a window, engagement by engagement. Here is that.




















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Join ShakersA context engineer designs the system feeding the model's window: what the RAG retrieves for each question, what memory remembers, what data gets curated before reaching the model. Anthropic coined the term; the trade already existed: the natural evolution of RAG work. Not the master prompt (prompt engineer) nor model integration (AI Engineer): their territory is the knowledge the model receives.
You decide what the RAG retrieves for each type of question and what memory remembers, which sources get curated and which get retired, how you measure that context arrived complete. You also decide what doesn't enter: ownerless knowledge doesn't reach the window. The model belongs to the client; what it knows when answering, to you.
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 the AI that doesn't know the business and its sources, not a list of technologies.
You deliver the source map, the memory policy and the retrieval evaluation, including the source you dropped and why.
You set what gets re-indexed when a source changes, what memory expires and who answers for knowledge the day the AI hesitates.
Having sustained RAG and memory in production and being able to tell which evaluation saved you, and what you did when the window overflowed.
Recognising when the problem is context's, prompt's or integration's: the honest frontier beats absorbing it all.
You design what the model receives; you don't train it or write the master prompt. If the project needs that, you say so at kickoff.
Any other questions? Write to us and we will reply.
The document the RAG can't find, the memory overflowing the window, the internal data nobody curated. The trade is learned with context in production: less framework, more evaluation.
171 live UK tech vacancies already mention context engineering, according to Shakers' market analysis (n=39,811, September 2026), inside AI Engineer titles. If you work with RAG and memory, your trade now has a name and demand.
The term is young and the SERP is vendor thought-leadership. The trade is measurable: retrieval that gets evaluated, memory with judgement, documented curation.
The doors: backend with RAG in production, data people who already curated knowledge, or the AI Engineer tired of watching the model improvise. The certification measures deliveries.
Four roles from the collective cross your path on a context project, from who orchestrates agents to who serves the model.
The agents consuming your context: whoever orchestrates the tools needs the window designed well and measured.
Sets the behaviour of the model your context feeds: the how is theirs, the what-it-knows is yours to design.
Integrates the model receiving your context: the API, inference and product layer where it all meets.
The APIs and databases your knowledge originates from: when clean data must come from development, it's their brief.
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 context projects.