Maisa AI is seeking a Foundational AI Engineer to join our growing team and work directly with our leadership on building proprietary models. This role focuses on training, fine-tuning, and evaluating small and large language models that power Maisa Studio, enabling our clients to reduce dependency on frontier providers while maintaining high performance in regulated environments.
Key responsibilities
- Train, fine-tune, and post-train proprietary language models from data preparation through to release.
- Design and execute rigorous model evaluation strategies, including benchmarks and quality criteria tailored to real-world client use cases.
- Develop and optimize training pipelines, including data curation, experiment tracking, and infrastructure reproducibility.
- Collaborate with AI infrastructure teams on model serving and inference optimization to ensure reliable production deployment.
- Monitor deployed models for quality degradation and drive necessary retraining or corrective actions.
Requirements
- Proven, hands-on experience in training and fine-tuning machine learning models.
- Strong proficiency in PyTorch with the ability to build and modify model architectures directly.
- Solid software engineering fundamentals in Python.
- A rigorous approach to model evaluation and a deep understanding of how to detect regressions.
- Ability to thrive in a fast-moving, early-stage environment with a high degree of ownership.
What we offer
- The opportunity to work at one of Europe’s most exciting early-stage AI startups on cutting-edge Agentic Process Automation.
- Direct influence on how major multinational organizations transform their critical business processes.
- A collaborative culture where you have a voice in shaping how we work and build together.
- A fully remote working environment with a team of deep technical and industry experts.