Data Engineer

Job Description

Job Description

Radical AI, Inc.  is an artificial intelligence company that is accelerating scientific research & development. We are at the forefront of innovation in the field of materials R&D, a critical driver for advancing our most cutting-edge industries and shaping the future. Breaking away from the traditionally slow and costly R&D process, Radical AI leverages artificial intelligence and machine learning to pioneer generative materials science. This innovative field blends AI, engineering, and materials science, revolutionizing how materials are created and discovered. Radical AI's approach speeds up R&D and addresses global challenges, setting new benchmarks in technology and sustainability.

The opportunity

Data is core to Radical AI's mission and as a Data Engineer, you'll collaborate with cross-functional teams (software, ML, materials science) to build robust data solutions.

You will be directly involved in designing, building and maintaining infrastructure to support agentic workflows for our AI materials design engine, as well as maturing our existing data infrastructure that relates to our autonomous lab. In this you'll create a best-in-class system to accelerate Radical AI's ability to develop the next evolution of scientific progress and get to work at the intersection of cutting edge models, autonomous experimentation, and materials science.

As a foundational member of the team, you'll have the opportunity to shape the standards, culture, and values of the data engineering team.

Mission

• Work side by side with AI researchers and engineers, shaping the next generation of autonomous systems for materials discovery.
• Own the end-to-end planning, execution, and delivery of largescale data initiatives.
• Drive a continuous improvement culture through retrospectives, process streamlining, and lean execution experiments.
• Help define the roadmap for agentic AI automation, enabling intelligent workflows, process automation, and AI-driven decision-making within scientific discovery.
• Design and implement data pipelines connecting our autonomous lab with operational and product systems, including our AI-driven discovery engine.
• Build and support scalable, audit-proof architecture.
• Define and enforce best practices for data modeling, lineage, observability, and reconciliation across finance data domains.
• Ensure data systems are AI-ready and capable of supporting predictive analytics, autonomous agent workflows, and large-scale automation.

About you

Pluses

Salary Description

Competitive salary + Equity + Benefits; base pay offered may vary depending on job-related knowledge, skills, and experience.

Disclosure

Radical AI is committed to equal employment opportunity regardless of race, color, ancestry, national origin, religion, sex, age, sexual orientation, gender identity and expression, marital status, disability, or veteran status.