Mateo
Full Stack Developer
ReactNode.jsPythonTypeScriptNext.jsMongoDBAWSAIAPIs
Shakers for companies
Work with an AI Agent Developer
A certified AI Agent Developer who turns your repetitive processes into agents that work: orchestrating tools, designing the agent's memory and adding guardrails so what works on Monday still works on Friday.
Senior tech talent for your agentic layer, starting in days on the model you already use, without growing headcount.
- Certified talent in AI and agent skills
- Meet up to 3 AI Builders in 72 h
- Flexible collaboration models
+600
European clients across different industries
Top 4%
We work with the top 4% of certified talent in our community
72 hours
Meet 3 certified candidates in under 72 h
4.7/5
Our clients' satisfaction on Trustpilot
The talent mix your company needs
At Shakers you will find AI Engineers, AI Agent Developer and specialists across Tech, Product and Data
Ana
DevOps Engineer
DockerCI/CDAWSAzureKubernetesTerraformAmazon Bedrock
Lucas
Backend Developer
Node.jsPythonJavaGoPHPMySQLMongoDBDocker
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Emma
Security Engineer
Burp SuiteOWASP ZAPMetasploitNmapNessusTrivySnyk
AI Agent Developer: what this role brings to your project
An AI Agent Developer builds agents that execute business work: orchestrating the tools the agent can call, designing its memory and context, chaining agents when the process demands it, and adding the guardrails that keep a demo from becoming an incident.
They don't train the model (that's the AI Engineer) or automate without AI: their trade is the agent that reasons over your process and acts. LangChain, LangGraph and MCP are their daily tools.
PythonLangChainLangGraphMCPfunction callingRAGmemorymulti-agentguardrailsagent evaluationOpenAI APIAnthropic APIvector DB
One provider. One contract. Full traceability
How Shakers works for your company
Post your project
Tell us about the project, its scope, the expertise you need and when you want to get to work.
You get three options
We match your brief against certified talent and introduce the three AI Builders who fit best.
The last word is yours
Meet the three specialists and choose who you collaborate with; we handle the rest.
Why work with Shakers
The advantages of adding this profile with Shakers
The process stops being manual
The agent executes the steps you copy and paste today: with your tools, your rules and the model's judgement on every decision.
Guardrails before incidents
What it can do alone, what needs approval and what it refuses: tested limits and a log of every agent action.
Tools connected, real ones
The agent calls your actual systems: email, CRM, documents and APIs, with function calling and MCP as the glue.
Memory that learns your operation
The agent remembers decisions and process context: week two works better than week one without touching anything.
Multi-agent when the process asks
Long processes split across specialised agents that hand work over, with defined, traced handoffs.
Agent evaluation included
Every delivery brings its evaluation battery: real cases the agent must solve well before shipping.
Frequently asked questions
Any other questions? Our team will answer them.
Tell us your data projectWhat does an AI agent actually do?
An agent receives a goal, decides the steps with the model and acts on your tools: reads, writes, queries and executes. Versus a flow: it handles the unexpected, not just the programmed.
How much does an AI Agent Developer engagement cost?
Scope sets the price: how many tools it connects, what memory it needs and what guardrails the process demands. The budget closes per project before starting.
What can AI agents do for a company?
Processes with judgement and repetition: classifying and answering with your information, preparing reports pasted by hand today, watching systems. The line: no decision means automation.
AI Agent Developer or AI Engineer?
The AI Engineer builds and integrates the model; the agent developer orchestrates agents over your process with that model. They cross paths: one serves the capability, the other turns it into work.
Can AI agent projects be done fully remotely?
Almost all: agents run in the cloud and sessions with the team happen remotely. Only the occasional kickoff asks for presence.
What does an agent developer need to start?
Access to the model or API, the process tools and one session to fix what the agent decides and what it doesn't. With that, the first agent works in days.
What gets delivered in the first weeks
The first agent over a real process: tools connected, memory defined and guardrails tested. What it does alone, what it asks, what it refuses without approval.
3,352 live UK vacancies mention ai agent
3,352 live UK tech vacancies mention ai agent, according to Shakers' market analysis (n=39,811, September 2026), almost always inside AI Engineer titles: demand exists before the title. The category searches 9,900 times a month and its first page belongs to vendors.
Agent, not automation
A classic flow executes fixed steps; an agent decides the next one. If your process needs no decision, the honest answer is automation. If it needs judgement for the unexpected, it is.
The demo-to-production leap
The difference between the agent that charms in a demo and the one that works every morning is guardrails: evaluation, action limits and logging.
Connect with AI specialists to build your next project
Find specialists in Tech, Product, Data to complement your team
AI Engineer
Builds and integrates the model your agent reasons over: the capability the agent developer orchestrates into work.
Prompt Engineer
Sets the behaviour of the model your agent uses at each step: versioned, evaluated prompts inside the flow.
Context Engineer
Designs the data your agent receives: RAG, memory and curation. Without context, the best agent improvises.
Python Expert
The custom integrations the agent needs when standard tools don't reach: from connector to deployment script.
The AI talent you need Certified by Shakers
We introduce you to three ready_to_build AI Builders in 72 hours.
