Working at NILG.AI
We do not always have open roles, and we are not going to pretend otherwise. What we do have is a short list of people who wrote to us and who we called when the fit appeared — that is how much of the team joined.
How we work
Business problems, not tickets
You work with the client, not on a specification someone else wrote for you. Understanding the business is part of the technical work, not a phase before it.
We write down the why
Technical decisions live documented with the reasoning behind them. Whoever arrives next understands why things are the way they are, instead of guessing.
Learning is working hours
We publish research, teach courses and present at conferences. None of that happens at the weekend.
Profiles that tend to fit
- Machine learning engineering and applied data science
- Software engineering for product and integrations
- Consulting and project management with technical footing
- Marketing and sales in a technical context
After you send it, we reply with the next step. If you want to share a portfolio, GitHub or LinkedIn, send the link on the call — we do not need a formatted CV to start the conversation.