Building verifiable continual learning infrastructure for AI agents.
Senior Full Stack Developer
AI agents today learn, but they rarely learn reliably. This early-stage devtools startup is fixing that gap by building the infrastructure that makes continual learning verifiable, secure, and actually functional for enterprise deployments. As a senior full stack developer, you will architect and ship the core interfaces and backend systems that enterprise clients depend on to trust their agentic workflows. You will work directly across the stack, translating complex machine learning verification logic into resilient, distributed services and intuitive user experiences.
What they're looking for
- 3 to 5 years of professional experience building and deploying full stack applications.
- Strong proficiency with Python and Django on the backend, paired with TypeScript and React on the frontend.
- Practical experience orchestrating containerized services with Docker and Kubernetes.
- Familiarity with distributed data streaming and caching tools like Kafka and Redis.
- Demonstrated ability to design cloud-native architectures across GCP, AWS, or Azure.