Senior AI Systems Engineer (Material Intelligence)

Location: Preferably hybrid in Florianópolis or Curitiba, Brazil

Company

NEDGEX is an innovation unit of hirify.global focused on building and scaling digital and AI-driven ventures across industries.

What you will do

• Prepare structured material datasets for AI and machine learning applications.
• Improve data pipelines, feature engineering approaches, and data representations.
• Develop and evaluate predictive models for material properties and related use cases.
• Establish standards for model validation, interpretability, robustness, uncertainty, and reproducibility.
• Document architectures, modeling decisions, assumptions, limitations, and validation strategies.
• Build scalable AI-enabled material data systems, infrastructure, agent tools, and LLM-based workflow automations.

Requirements

• Advanced English proficiency.
• Strong programming skills and experience applying machine learning in real-world settings, especially with structured or industrial datasets.
• Solid knowledge of feature engineering, model validation, and handling small or complex datasets.
• Ability to assess model assumptions, limitations, robustness, generalization, and uncertainty.
• Experience with data pipelines and data preparation.
• Familiarity with modern AI tooling, including LLMs, APIs, and basic automation.

Nice to have

• Experience with scientific, engineering, or physics-related data.
• Exposure to AI-enabled material intelligence systems.

Culture & Benefits

• Work on MaterialIQ, an innovation project focused on AI systems for material datasets and material properties.
• Collaborate with external partners and internal stakeholders.
• Choose between CLT employment and PJ contractor arrangements.
• Contribute to AI infrastructure, tooling, and architecture decisions.