Fabio Angeletti, Ph.D.
CEO
Careers at LEAF
Build what comes next.
LEAF sits between frontier research and real-world execution. We work on emerging technologies while they are still becoming useful, then turn them into systems, products and capabilities that organizations can actually use.
We are a small, technical team. That means real ownership, direct access to the people making decisions and the opportunity to work across research, engineering, products and client problems rather than inside a narrow box.
Research
connected
Engineering
driven
Products
of our own
Real
ownership
Careers at LEAF span AI, software, data, embedded engineering, emerging technology, product development and technical consulting across LEAF Advisory, Labs and Academy.
Why LEAF
Research does not stay on a slide here.
LEAF was founded by university lecturers and researchers who build products. That connection to research still shapes how the company works: we investigate technologies early, challenge them technically and bring them into real systems when they are ready.
You may work on a client architecture, an internal product, an experimental prototype or a training initiative. What connects the work is the same question: how do we turn something technically interesting into something genuinely useful?
One company, different ways to build
Advisory. Labs. Academy.
LEAF Advisory
Work with companies before the solution is obvious: understand the problem, evaluate emerging technologies and define architectures that can survive contact with the real organization.
Explore AdvisoryLEAF Labs
Build. Labs turns repeated engineering problems into reusable capabilities and products such as Argo, Sigillum and Huntair SEO.
Explore LabsLEAF Academy
Turn technical knowledge into organizational capability. Help teams understand, adopt and operate what new technology changes in their work.
Explore AcademyThe work
Less repetition. More range.
LEAF is small enough that roles are not isolated from the rest of the company. The exact mix depends on your skills and projects, but the work can span several layers.
Research & evaluation
Test emerging technologies before making architectural or product decisions around them.
Prototyping
Build bounded prototypes that answer a technical question rather than demos designed only to look convincing.
Production engineering
Move from prototype to reliable software, infrastructure, embedded systems or AI pipelines.
Products
Contribute to technologies developed inside LEAF Labs and improve them through what we learn in the field.
Client systems
Work directly on real constraints: data, security, hardware, legacy systems, operations and adoption.
Knowledge sharing
Document what you learn, discuss it with the team and turn new knowledge into something others can use.
What we value
How we prefer to work.
Curiosity with discipline
Explore new technology, but separate evidence from excitement.
Technical depth
Understand why something works, where it fails and which trade-offs it introduces.
Ownership
Follow problems beyond the task assigned to you and make the state of your work visible to others.
Clear communication
Explain complex decisions well enough that engineers, clients and non-specialists can act on them.
Pragmatism
The most sophisticated solution is not automatically the right one. Build what the problem actually requires.
The team
Small enough to know who is building beside you.
Lorenzo Fadda
Software Developer
Ettore Di Micco
Technical Solutions Engineer
Elisa Giovanetti
Frontend Developer
Daniel Nocente
Python Developer
Giulia Lattanzi
SEO, Ads & Performance Marketing
Mattia Tatone
Full Stack Developer
William
AI Engineer
How we work
Flexibility should make good work easier.
Our work is organized to support remote collaboration and flexible arrangements where the role and project allow it. What matters is clear ownership, communication and the ability to work effectively with the rest of the team.
Keep learning
The field moves. We have to move with it.
LEAF works close to technologies that are still changing quickly. Learning is therefore part of the job, not something separate from it.
Conferences and publications
Support for taking part in conferences and contributing to publications.
Time for training
Time dedicated to training, courses and certifications.
Mentorship
Guidance from more experienced colleagues on the work you are doing.
Technical discussions
Regular discussions inside the team, so that what one person learns becomes shared knowledge.
A line to research
Founders who teach at university keep the team close to research and education.
Gender equality
Certified commitment, not just a statement.
LEAF is certified under UNI/PdR 125:2022, the Italian reference practice for gender-equality management systems.
UNI/PdR 125:2022
Certificate PG 4051
SMC
Issued
Valid until
Who fits here
We hire for trajectory, not just keywords.
Strong technical foundations matter. So does the ability to learn quickly, reason clearly and take responsibility for problems that do not arrive perfectly specified.
Engineers
Software, AI, data, embedded, infrastructure and adjacent technical profiles able to move from exploration to implementation.
Researchers & technical specialists
People who can turn specialist knowledge into systems, experiments or decisions.
Product & multidisciplinary profiles
People who can connect technology with users, communication, markets and operational needs.
Early-career talent
People with strong fundamentals, curiosity and evidence of building or learning beyond what was strictly required.
These are the kinds of profiles we consider, not a list of open positions.
Open roles
No role listed? You can still introduce yourself.
We are interested in people whose work connects naturally with what LEAF is building. If you do not see the right opening but believe there is a strong fit, send us your CV and a short note explaining what you would like to work on.
If you prefer to send us your CV directly, you can email it to info@leafsrls.com.
Applications are sent directly by email: this page has no upload form. How LEAF handles personal data is described in the Privacy Policy.
The process
Enough process to understand each other.
01/ Introduce yourself
CV + a few lines
Tell us what you have worked on, what interests you and why LEAF is relevant to you. Links to code, papers, projects or portfolios are welcome when useful.
02/ First conversation
Understand the fit
A conversation about your experience, interests, expectations and what the role or collaboration could involve.
03/ Technical conversation
Work through something real
Depending on the role, we may discuss a project, code, architecture, research or a technical problem relevant to the work.
04/ Meet the team
Decide both ways
Meet some of the people you would work with and use the conversation to understand whether the fit makes sense for both sides.
The exact process depends on the role. We will explain the steps before asking you to invest significant time in them.
A good application
Show us what you have actually done.
A CV is useful, but evidence is better. Depending on your profile, that can mean code, a system you built, a paper, a hardware project, a product, a technical article, an experiment or simply a clear explanation of a difficult problem you solved.
- Code
- Products
- Research
- Experiments
- Writing
- Systems
We care more about the substance than the format.
Research + practice
Close enough to research to know what is changing.
LEAF's founders teach at university, keeping the company directly connected to research and education. That does not mean turning every project into research. It means knowing where to look when a technology is moving and being able to separate promising ideas from things that are not ready yet.
What to expect
A small company also means less abstraction.
Working in a small technology company means having visibility and influence, but it also means fewer layers between a problem and the person who needs to solve it.
If you prefer a role with rigid boundaries and highly standardized work, LEAF may not be the right environment. If you like understanding the whole problem and helping shape the answer, it may be.
- Priorities can move as projects evolve.
- Roles can cross boundaries.
- Documentation and communication matter.
- Experimentation still needs delivery discipline.
- Ownership includes making uncertainty visible.
FAQ
Questions & Answers
Short, factual answers about working at LEAF. For anything else, ask us directly.
Ask Us a QuestionLEAF is an AI and emerging-technology company that works through Advisory, Labs and Academy. The team combines research, engineering, products and work with client organizations.
The exact needs change over time, but relevant profiles can include software, AI, data, embedded and infrastructure engineers, researchers, technical specialists and multidisciplinary people able to connect technology with products or organizations.
Yes. If you believe your work is relevant to what LEAF is building, you can send an open application with your CV and a short note explaining where you think the fit is.
Send your CV and a short introduction. Where relevant, include links to code, projects, publications, products, technical writing or other work that helps us understand what you can do.
Our work is organized to support remote collaboration and flexible arrangements where the role and project allow it. The arrangement for a specific position is discussed during the process.
The process depends on the role. It normally starts with an application review and conversation, followed where appropriate by a technical discussion and meetings with people you may work with. We explain the expected steps for each position.
Yes. LEAF was founded by university lecturers and researchers who build products, and its founders continue to teach at university. Research informs how the company identifies and evaluates emerging technology, while the goal of delivery work remains practical execution.
Yes. LEAF is certified according to UNI/PdR 125:2022. The certification is issued by SMC under certificate PG 4051, issued on 4 June 2026 and valid until 3 June 2029.
Send your CV and a short note to info@leafsrls.com. For questions before applying, you can also use the contact form.
See yourself building here?
Send us your CV, a few lines about what interests you and, where useful, something you have built, studied or written. If there is a fit, the conversation can start from there.