Un Agent Technique H / F

At Hugging Face, we’re on a journey to democratize good AI. We are building the fastest growing platform for AI builders with over 5 million users & 100k organizations who collectively shared over 1M models, 300k datasets & 300k apps. Our open-source libraries have more than 400k+ stars on Github.

About the Role

2025 will be the year of Agents.

LLM agents, what are these? In short, agentic systems are a way to connect an LLM to the outside world, to let it perform actions and observations. The promises of such a setup are immense: it enables an LLM to get external knowledge to ground its reasoning, use reliable tools for specific tasks, and even self-correct errors through additional iterations. An agentic system requires a powerful enough LLM to reason and plan actions. Now with the progress of LLMs in general and specifically open models overtaking closed ones, we have all the weapons to build great agents.

So Hugging Face is launching a moonshot in that direction. We’ve already published the library smolagents, gathering 4k stars in a few days at the time of writing.

On top of keeping the momentum with smolagents, we intend to launch a new direction of effort: GUI agents, i.e. agents that take screen recordings from any GUI, and act through a mouse/keyboard setup. You may have seen such models from other companies: we’ll make them better and open, building all the stack necessary towards efficient GUI agents, and open-sourcing useful building blocks that we made along the way.

What you will do

• Maintain and improve smolagents
• Build libraries and code around agents and GUI agents
• Prepare fine-tuning datasets, training recipes, and inference orchestration.
• Leverage our large H100 cluster for large scale processing and model training.
• Release any code we built, as well as the model serving as a foundation for the community to build on, possibly as a new GUI agent framework and/or research papers.
• Collaborate and empower the community to build on top of our tools.

About You

You'll enjoy working here if you are:

• Enthusiastic about agents.
• A generalist engineer with an ability to pick up new frameworks quickly and willing to work across the stack, from framework maintenance to model training to redacting research reports.
• Comfortable working in a fast-paced and ambiguous environment, aka shifting sands of startup land. This includes communicating with other teams to efficiently join forces, in Hugging Face’s very decentralized/anarchic organization.
• Excited to be a builder for builders! Empathy for developers across the stack and an enthusiasm for developer-first products.
• Enjoy understanding technical domains deeply and are willing to really get into the weeds.

If you're interested in joining us, but don't tick every box above, we still encourage you to apply! We're building a diverse team whose skills, experiences, and backgrounds complement one another. We're happy to consider where you might be able to make the biggest impact.

More about Hugging Face

We are actively working to build a culture that values diversity, equity, and inclusivity. We are intentionally building a workplace where people feel respected and supported—regardless of who you are or where you come from. We believe this is foundational to building a great company and community. Hugging Face is an equal opportunity employer and we do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

We value development. You will work with some of the smartest people in our industry. We are an organization that has a bias toward impact and is always challenging ourselves to continuously grow. We provide all employees with reimbursement for relevant conferences, training, and education.

We care about your well-being. We offer flexible working hours and remote options. We offer health, dental, and vision benefits for employees and their dependents. We also offer flexible parental leave and paid time off.

We want our teammates to be shareholders. All employees have company equity as part of their compensation package. If we succeed in becoming a category-defining platform in machine learning and artificial intelligence, everyone enjoys the upside.

We support the community. We believe major scientific advancements are the result of collaboration across the field. Join a community supporting the ML/AI community.