At the forefront of autonomous AI, we're pushing boundaries to empower machines to perform meaningful tasks. Our cutting-edge startup is revolutionizing the field with Agentic LAMs that run code, fix systems, and analyze data—freeing humans to focus on strategy and creativity.
Your Role
* Join a fast-paced environment where you'll assist in advancing our Agentic LAM from proof-of-concept to production through research, prototyping, and feature development.
* Work in selected areas of Machine Learning and AI, including:
* – Running and fine-tuning Large Language Models (LLMs).
* – Implementing Retrieval-Augmented Generation (RAG) pipelines.
* – Preparing and cleaning datasets for training and evaluation.
* – Designing and running tests to improve accuracy, safety, and reliability.
* Write clear, maintainable Python code for experiments and prototypes.
* Collaborate closely with senior scientists to learn best practices in AI optimization, scaling, and evaluation.
* Track experiments and analyze results using tools like Weights & Biases or MLflow.
Requirements
* Bring depth in at least one or two areas and demonstrate a willingness to learn more.
* Strong fundamentals in linear algebra, probability, calculus, or optimization are essential.
* Hands-on experience with:
* – Python, Jupyter, Git.
* – PyTorch or TensorFlow.
* – Hugging Face Transformers for simple fine-tuning.
* – Vector databases (e.g., FAISS or Qdrant).
* Understanding of evaluation metrics such as accuracy, F1, or perplexity.
* Familiarity with Docker and basic cloud concepts is beneficial.
* A proactive, learning-driven mindset is crucial.
The Offer
* Enjoy hybrid work in Lisbon with the option for multi-week remote blocks.
* Receive a competitive salary plus equity potential.
* Take advantage of subsidized apartment relocation assistance if needed.
* Benefit from health insurance, modern hardware, and a personal learning budget.
* Travel to global AI conferences and events with company funding.
* Collaborate directly with experienced AI engineers and researchers with strong mentorship opportunities.
* Experience real ownership and contribute to a fast-paced startup environment from day one.