Mateo
Full Stack Developer
ReactNode.jsPythonTypeScriptNext.jsMongoDBAWSAIAPIs
AI projects in production
Work with an expert AI Engineer
Specialists in LLMs and AI applications, certified and available project-based. From prototype to production with blended human + agent teams.
Get access to senior tech talent certified in AI, ready to build and generate impact from day one. Receive up to 3 AI Builders in under 72 hours, already aligned with your project and with contract, milestones and oversight from Shakers.
- 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 Engineer 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 Engineer: what this role brings to your project
An AI Engineer designs and ships applications built on large language models (LLMs): integrating AI APIs, building RAG systems, orchestrating agents and taking prototypes to production against cost, latency and evaluation criteria. At Shakers we connect companies with vetted AI Engineers who work project-based inside blended human + agent teams, to accelerate real-world AI implementation: the last mile where most initiatives get stuck.
OpenAI APIAnthropic ClaudeGoogle GeminiLangChainLlamaIndexLangGraphRAGPineconeWeaviatepgvectorFastAPIPythonTypeScriptNext.jsLangSmithDocker
One provider. One contract. Full traceability
How Shakers works for your company
Tell us the challenge
You tell us what you need to solve. We define the scope, the profile of an AI Engineer and the expected outcome.
AI-powered matching
Our AI layer matches your project with the best-fit vetted expert talent in hours.
Meet the expert
We introduce the selected candidate. You confirm the technical and team fit in an interview.
Why work with Shakers
The advantages of adding this profile with Shakers
Verified on LLMs, RAG and agents
Every AI Engineer clears a technical vetting process before reaching you: real AI projects in production, not notebooks.
A match in under 48 h
We introduce specialists who fit your AI use case in under 48 h, with AI-powered matching.
No cost until work starts
You only pay once the specialist starts on your project. Reviewing profiles and interviewing is free.
One AI project, no fixed overhead
You start a defined AI project, from RAG to agents in production, without adding fixed overhead.
Blended teams: human + agent
The AI Engineer works alongside agents and tools from the Shakers platform, speeding up real implementation.
Scale the AI team in phases
You scale the team as the RAG pipeline and the evals progress, with no contractual friction.
What exactly does an AI Engineer do?
They design and ship LLM applications: integrating AI APIs, building RAG systems, orchestrating agents and putting them into production while managing cost, latency and quality evaluation.
How soon will you introduce a candidate?
Usually within days. Our AI layer matches your project with the best-fit vetted talent, and we introduce the selected candidate so you can confirm the fit.
How do you vet the expert's level?
Every AI Engineer goes through a peer review (vetting) process that assesses their real experience, their stack and their past projects before joining the collective.
How much does an AI Engineer cost for a project?
It depends on scope and seniority. The reference bands run from junior to lead. We give you a fixed project estimate before you start, with no overhead costs.
How much does it cost to work with an AI Engineer on Shakers?
The cost is set on a project basis, based on seniority and scope. Reference ranges run from 300 to 800 EUR/day. You pay nothing until the specialist starts.
Why Shakers instead of a consultancy or an in-house hire?
Compared with a consultancy, you start in days rather than weeks, with verified talent and project-based pricing. Compared with an in-house hire, you skip 2-4 months of recruitment and fixed payroll costs.
When to bring in an AI Engineer
When you have a defined AI use case (an internal copilot, a semantic search engine, an assistant over your documentation) and you need to take it from prototype to production against cost, latency and evaluation criteria. This is not a research role: it is engineering on top of existing models.
What an AI Engineer must prove to you
Real experience shipping LLMs into product, not just demos: command of RAG and vector databases, hallucination control and systematic evaluation, and deployment with observability. A good AI Engineer reasons about cost per query as much as about answer quality.
AI Engineer, Data Scientist or ML Engineer
The Data Scientist explores data and trains models; the ML Engineer industrializes in-house models; the AI Engineer builds product on top of third-party models (OpenAI, Anthropic, Gemini). For most applied AI projects today, the AI Engineer is the profile you need.
Connect with AI specialists to build your next project
Find specialists in Tech, Product, Data to complement your team
Backend Developer
Vetted backend talent to build APIs, services and scalable architectures. Available project-based and embedded in your team.
Salesforce Developer
Expert talent in Apex and LWC to customize and integrate your Salesforce. Vetted and available project-based.
AWS DevOps Engineer
Expert talent in AWS, Terraform and Kubernetes to automate your infrastructure and CI/CD. Vetted and available project-based.
Python Developer
Vetted Python talent for backend, automation and data. Available project-based and embedded in your team.
The AI talent you need Certified by Shakers
We introduce you to three ready_to_build AI Builders in 72 hours.
