Careers
We recruit engineers, architects, business leaders, executives, consultants and specialists to deliver tomorrow’s agentic world.
Experience you can lean on
Immersed in technology and across many different verticals, so the people on your project have done this before.
Join us
01
Forward deployed, data, platform, machine learning and agent engineers. You will write code against real data, inside client organizations, and ship early. You should be comfortable with ambiguity and with people.
Cloud, data and solution architects who design for the long term. You will decide how systems fit, where data lives, and what can be moved later. Sovereignty, cost and failure modes are part of the job.
Strategists, analysts and operators who understand how industries work. You will help turn a messy process into a clear model, and a model into a result a leader can measure.
Leaders who can open doors, run engagements and build teams. You will carry accountability for outcomes and for the people who deliver them, across countries and sectors.
Advisors who turn complex organizations into clear roadmaps. You will lead discovery, frame the problem, and work with engineers so recommendations become running systems.
Domain experts in sectors such as health, finance, energy and agriculture, and in areas such as security, regulation and linguistics. You will make sure the ontology matches how the sector truly works.
02
We look for curiosity and ownership more than a particular title. The people who do well here start from what a system is for, take responsibility for how it performs in production, and are willing to sit with an operator until they understand the job.
Our engineers are not only coders. They write, they draw, they ask clear questions and they explain trade-offs to people who do not share their vocabulary. Our business people are not only advisors. They learn enough about data and agents to challenge a design.
You do not need to have worked in AI for years. Many of the skills carry over from software, data, operations, advisory and sector work. What matters is the way you think and how you finish things.
03
Much of the work happens inside client organizations, on site and online. You will see how a bank, a clinic network or a ministry really runs. You will build with the people who use what you make.
You own an outcome, not a ticket. That means making decisions, explaining them, and living with the result. We give you the context to do it and we review the work together.
We question defaults. Why is the data shaped this way? Does this approval step protect anyone? You will be encouraged to ask, and to propose something simpler.
We tell clients and each other what is real and what is not yet. That habit saves time and protects trust.
We write things down and share what we learn. Documentation and teaching are part of the job, for clients and for colleagues.
The focus is the continent, and the standards are global. You will work with people across countries, languages and sectors.
04
| What we look for | What we do not require |
|---|---|
| Evidence that you finish things and own the result. | A specific degree or a long AI résumé. |
| Clear writing and clear thinking. | Fluency in every tool we use. You will learn them. |
| Curiosity about how a sector works. | Prior experience at a big-name company. |
| Comfort working with ambiguity and people. | A perfect fit to a job description. |
Free 30 minutes with an engineer.
05
Tell us what you are best at and what you want to build. A short note and a link to your work, or a CV, is enough. A person reads it.
We talk about your work, how you think and what you want from the next few years. You ask about ours.
We work on a real problem together for a short session. It is not a trick. We want to see how you reason and collaborate.
We decide together and explain our reasoning. If it is a yes, we agree on role, scope and start. If it is not, we tell you why.
06
Send a short note. Say what you are best at, what you have made, and which problems you want to work on. Add a CV, a portfolio, a repository or a write-up if you have one. Tell us where you are based and which languages you work in.
If you are an expert in a sector or a field, say what you wish technology people understood about it. That is often the most useful sentence in an application.
07
We do not have listed roles right now. We are growing, though, and we hire people before we have a title for them. Tell us what you are best at and what you want to build, and we will keep your note in mind as work arrives. Use the Get in touch link below.
08
That means your work shapes how we build. The ontology templates, the agent governance rules and the engagement playbooks are still being written, and the people who join now write them.
It also means we are not a finished machine. Some things will be unclear and some plans will change. We say so openly. If you want a stable role with every process defined, this may not be the right moment. If you want to build the foundations with a team that values honesty, it may be.
The reward is range. Within a few engagements you can see data engineering, ontology modelling, agent design and sector work, and you can move toward what you do best.
09
Our team of consultants and experts brings a combined 35 years of industry experience.
Immersed in technology and across many different verticals, so the people on your project have done this before.
Careers
Tell us the problem. An engineer, not a salesperson, answers.
We recruit engineers, architects, business leaders, executives, consultants and specialists to deliver tomorrow’s agentic world.
