The Role
As a Full Stack Software Engineer at Radical AI, you'll design and develop systems that bridge software with physical labs, manage workflows, build interfaces, and control robotic hardware.
Summary Generated by Built In
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.
As a Software Engineer working on the Agent team at Radical, you’ll help build and push our AI agent towards scientific superintelligence. You’ll design, build, and maintain a variety of tools this agent can access and operate such as running Bayesian optimization, referencing scientific literature, querying against an internal experimental database, and queueing quantum chemistry simulation workflows.
We work in a deeply technical domain—ML, materials science, and experimental automation—and your software will directly influence real-world outcomes.
About You
- 0 to 1 experience developing agents & agentic workflows in production.
- Python expertise, including asynchronous programming, type checking, and packaging. You are comfortable with the modern Python AI ecosystem including frameworks such as LangChain and PydanticAI.
- Developed and maintained agentic tools for retrieving data, leveraging internal & external APIs, writing & executing code, etc.
- Developed and maintained data pipelines for ingesting, storing, and transforming source data for LLMs.
- Experience with developing and debugging agentic patterns such as multi-agent cooperation, goal decomposition, context management, and autonomous operation.
- Frontend engineering experience with Svelte, React, or similar frameworks. You’ve built responsive, real-time interfaces and care about state management, testing, and usability.
- Comfort with telemetry, observability, and debugging tools—structlog, OpenTelemetry, Prometheus, Grafana, etc. You think about how systems fail and how to make failure modes easy to diagnose.
- You’re driven by technical depth and product impact. You want your code to directly influence what happens in the real world—and you’re eager to work alongside roboticists, ML engineers, and scientists to make that happen.
Pluses
- Have built SDKs and developer tools.
- Exposure to scientific computing, quantum chemistry, or ML-in-the-loop pipelines and infrastructure.
- Experience working with structured telemetry, logs, or time-series data.
- Comfort developing and debugging in hybrid on-prem/cloud environments (e.g., Docker, k8s).
What we offer
- A competitive compensation package also includes the best in benefits:
- Medical, dental, and vision insurance for you and your family
- Mental health and wellness support
- Unlimited PTO and 14+ company holidays per year
- 401K
- Work closely with a team on the cutting edge of AI research.
- A mission: an opportunity to fundamentally change the way humanity makes progress through materials science discovery.
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.
Top Skills
Docker
Grafana
Grpc
K8S
Opentelemetry
Prometheus
Protocol Buffers
Python
React
Rust
Svelte
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The Company
What We Do
Radical AI is accelerating materials R&D.
Through the integration of artificial intelligence, engineering, materials science, and applied research, we are changing the way materials are designed, developed, and discovered. In doing so we are tackling the world's most pressing problems.
