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 projects in production
Work with an expert AI Engineer
Specialists in LLMs and AI applications, vetted and available project-based. From prototype to production with blended human + agent teams.
- Talent vetted through a peer review process
- Matched in days, not weeks
- Project-based model, no overhead
Shakers
Vetted talent, ready for your project.
Over 600 European companies trust Shakers
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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.
The profile, explained
What this profile 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
Shakers vs the alternatives for accessing tech talent
Compare cost, flexibility, speed and talent quality
Compared with an agency, a consultancy or in-house hiring, with Shakers you access vetted talent in OpenAI API and start in days, priced per project. Typical stack: OpenAI API, Anthropic Claude, Google Gemini, LangChain, LlamaIndex.
| Criteria | Shakers | Generalist platform | IT consultancy | In-house hire |
|---|---|---|---|---|
| Time to start | Days | Weeks | Weeks or months | 2-4 months |
| Cost | Project-based | Hourly, no guarantee | High rate + overhead | Salary + fixed costs |
| Fit control | Vetting + interview | Self-service | Assigned profile | Your own hiring process |
| Risk | Vetted, blended talent | Variable quality | Contractual lock-in | High cost of a bad hire |
| Cost and quality per response | Evals and cost per response measured before you scale | No measurement: the model bill turns up later | Depends on who they have free that week | Depends on the experience already in your team |
One provider. One contract. Full traceability
How Shakers works for your company
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.
Project kickoff
You start with clear goals and deliverables. The expert joins your blended human + agent team.
Follow-up and scale
We track the project and you scale the team whenever you need to, with zero friction.
Work with external talent that delivers from day one
Vetted experts who have already delivered projects like yours
Shakers: the partner for your strategic projects
+600
European clients across industries
+14.000
Talents apply; we only work with the vetted 4%
+3.000
Projects published on Shakers
72h
To meet the best-matched talent
Everything about this profile
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 to look for in a strong profile
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.
Security and compliance under control
Add external talent to your teams quickly and safely
Talk to our team
Security and compliance in every project
ISO 27001, an NDA before any access and full traceability throughout the collaboration.
One provider, one contract
You approve Shakers once, with an MSA and procurement-ready documentation. No need to approve each talent separately.
Consolidated billing, no surprises
Clear contracts, defined milestones and a single invoice per entity. Procurement and Legal take on no extra work.
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.
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We help you get your project started
Ready to start your project?
We will introduce you to a vetted AI Engineer within days.
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