AI Software Engineer

• AI as part of your day-to-day. Access to the latest AI tools and models to experiment, automate, and find new ways to work better.
• Training budget. Annual budget to keep learning and growing: courses, certifications, events, books, or tools to help you take your skills to the next level.
• Plenty of space to build. Here, your job description is not a boundary. If you want to get into product, automation, growth, technology, or any other area where you can contribute, we want you to do it.
• Impact from day one. We are a small team building something big. Your ideas, decisions, and work will have a direct impact on the product and on how the company grows.
• Hybrid model. In this first stage, we want to build a united team and work together in person. As the team consolidates, we will evolve towards a hybrid model, with remote work days and greater flexibility.
• Build your own path. Many of the positions we will need within two years do not exist yet. If Teros grows and you grow with us, you will have the opportunity to become one of the people leading them.
• A real startup. Speed, autonomy, few barriers, and a lot of capacity to propose, test, and change things. We prefer a good idea in motion over three months of talking about it.

Who are we? / About us At Teros (a product born in the heart of Secture) we are building a new way to work with AI.

We don't want AI to be limited to answering questions. We want it to do the work: agents capable of connecting with the tools companies already use, understanding processes, and executing tasks from start to finish.

We are in an especially exciting phase: we are building the product and the team that we want to make it grow.

And we are looking for an AI Engineer who wants to build the intelligence behind Teros.

Someone who enjoys experimenting with LLMs, agents, and new architectures, but who is clear that the goal is not to make an impressive demo: it is to make it actually work, in production and for real users.

Here you will be able to test, break, measure, iterate, and build very quickly.

Your day-to-day

• Develop solutions based on Generative AI and LLMs.
• Build RAG systems, agents, and automations for internal and client projects.
• Integrate AI models and tools into real products.
• Participate in technical decisions and explore new technologies related to AI.