Hire an AI Engineer
Freelance and fractional AI engineers who take your models from prototype to production.. Need to build or ship an AI feature but have no in-house machine learning talent? Hire an experienced AI Engineer on a freelance, interim or on-demand basis. You get hands-on expertise in model development, LLM integration and deployment, exactly when your project needs it.
What does an AI Engineer do?
An AI Engineer turns business problems into working AI systems integrated into your existing products and infrastructure. They select the right approach, connect AI models and LLMs to your applications and make sure everything runs reliably in production.
A fractional AI Engineer brings this expertise without the cost of a full-time hire. They work alongside your developers, build robust integrations and transfer knowledge so your team can maintain and improve the solution.
When do you need an AI Engineer?
Most companies do not need a permanent AI engineer from day one. They need senior capacity at key moments: to integrate AI into a product, to build an MVP or to rescue a stalled project.
You want to add AI or LLM functionality to an existing product
Your data science experiment must be moved into production
You are building a chatbot, AI agent or intelligent workflow
Your internal developers lack AI integration experience
An AI project has stalled and needs an expert to unblock it
You need interim capacity during a hiring gap or peak period
Why choose a fractional AI Engineer?
Senior AI engineering capacity, only for as long as you need it.
Start within days instead of months of recruiting
Pay only for the hours and outcomes you need
Access senior expertise at a fraction of full-time cost
Proven experience from multiple industries and AI projects
Flexible scale-up or scale-down as your roadmap changes
Knowledge transfer to your internal team
No long-term employment commitment or recruitment fees
What does an AI Engineer deliver?
Concrete, working results you can use and maintain, not slide decks.
Working prototype or MVP
A functional AI solution that proves business value and can be tested with real users.
Production-ready deployment
Models and services running reliably in your cloud or infrastructure, with monitoring in place.
Evaluation report
Clear benchmarks on accuracy, cost and risks so you can make informed decisions.
Documentation and handover
Clean code, technical documentation and a walkthrough session for your team.
Frequently asked questions
How quickly can I hire a freelance AI Engineer?
In most cases we can match you with a suitable AI Engineer within a few days to two weeks, depending on the required skills and availability.
Can I hire an AI Engineer for just a few days per week?
Yes. Fractional engagements typically range from one day per week to part-time, and can be scaled up or down as the project evolves.
Which technologies do your AI Engineers work with?
Our specialists work with Python, PyTorch, TensorFlow, Hugging Face, OpenAI, Anthropic and open-source LLMs, as well as major cloud platforms such as Azure, AWS and Google Cloud.
Who owns the code and models that are built?
You do. All code, models and documentation created during the engagement belong to your company, in line with the agreed contract.
What is the difference between an AI Engineer and a data scientist?
A data scientist mostly explores data and builds models. An AI Engineer focuses on turning those models and LLMs into robust, scalable products that run in production.
Can the AI Engineer work with my existing team?
Absolutely. Our engineers integrate into your sprints and tools, collaborate with your developers and make sure knowledge stays in your organization.
Ready to accelerate your AI strategy?
Get in touch and discover which AI expertise can help your organization take the next step.