AI engineers for your team.

AI, ML and forward deployed engineers, and AI-trained engineers in any technology. They work inside your team. We stay accountable for delivery.

Tell us what you needHow it works

Engineers we supply

Our own AI and ML engineers lead the offer. Every other engineer we place, in any stack, is trained to work with AI as part of how they build.

  • AI and ML engineers

    GenAI and LLM engineering, RAG and AI agents, machine learning, and the data work underneath it.

  • Forward deployed engineers

    Engineers who sit with your teams, on site or remote, and carry the work from the first idea to delivery.

AI-trained engineers in any technology

  • DataDatabricks, Snowflake, Spark, Airflow, Python
  • DevOps, Cloud and MLOpsAWS, Azure, GCP, Kubernetes, Terraform, CI/CD, model and agent operations
  • MicrosoftDynamics 365, .NET, Azure, Power Platform, Copilot Studio
  • Full stackJava, Spring Boot, React, Next.js, Node, TypeScript

Every engineer brings three or more years of experience. Other technologies on request.

What you can hold us to

  • Transparency

    Every engineer works for nu Theory, on our payroll or under contract with us, so we answer for their quality at all times. Clear terms, and honest news about fit or performance, early.

  • Due diligence

    Before anyone meets you: a technical screen, a practical AI task, a communication check, background verification and an NDA. After they start, we keep checking, every month.

  • Training

    Onboarding before day one, then a session every month on the nu Theory Framework. Your engineer keeps getting better while they are with you.

  • Communication

    Communication is part of every training, so your people talk to engineers who explain their work clearly. One point of contact for you, and German, Dutch and French coordinators for European projects.

How we manage delivery

A nu Theory manager sits over every engineer and every team we deploy, so delivery has an owner on our side as well as yours.

  • One engineer. A manager checks in with the engineer and with you, and acts on anything that needs attention.
  • A team. A manager, senior engineers and engineers, coordinated through a single point of contact.
  • European projects. A German, Dutch or French speaking coordinator joins the team.

One engineer

Your teamDirects the day-to-day worknu Theory managerAccountable for deliveryEngineerWorks inside your team

A team

Your teamSingle point of contactOne person to coordinate withCoordinatorGerman, Dutch, Frenchnu Theory managerAccountable for deliverySenior engineerSenior engineerEngineerEngineerEngineerEngineer

From brief to delivery

Five steps, with one person from nu Theory running all of them for you.

  1. Requirement

    We take the brief: skills, seniority, team size, start date, and remote or on site.

  2. Screening

    Three screened profiles within 48 hours, each matched to your brief.

  3. Interviews

    We schedule and host the interviews, and collect feedback from both sides the same day.

  4. Deployment

    Contracts, NDA, background checks and onboarding training, ready for day one.

  5. Reporting and vigilance

    Monthly feedback, regular check-ins, and a free replacement within the first two weeks.

Ways to work with us

  • Individual engineers

    One engineer, placed inside your team and directed by you, with a nu Theory manager behind them.

  • Dedicated teams

    A team built around your project: a manager, senior engineers and engineers, with one point of contact.

  • Remote teams

    A team that works remotely as an extension of yours, run day to day by us.

  • GCC support

    Engineers for your Global Capability Centre, or help building the team when you set one up.

Oil & Gas

United States

We find, hire and train DevOps and infrastructure engineers in rare technologies for a United States based global oil and gas company. They join the client’s teams as forward deployed engineers and work as an extension of them.

Training, for our engineers and for your teams

Every engineer is trained before deployment and again every month on the nu Theory Framework. It teaches how to think and solve problems with AI, so the skill holds as the tools change.

  • Think

    Decide which work goes to AI and which stays with the engineer: architecture, trade-offs, judgment.

  • Talk

    Brief the AI the way you would brief a teammate, with context, constraints and an example.

  • Trust

    Review, test and security-check everything AI writes. The engineer owns every commit.

  • Track

    Check whether delivery actually improved, and bring what was learned to the next session.

We also run this training for the teams our engineers work with, and for any team in your company that needs it.

See our AI training

Tell us what you need

Share the role or the team, and we will come back within one working day with next steps.

Thank you. Your request is with us.

We will come back to you within one working day.