The role
You will strengthen our small engineering team by building the simulation engine, app backend, and frontend that power Veris AI. You will ship features used by customers to train and deploy AI agents.
What you will do
- Design and code backend services in Python /FastAPI and data-store integrations (PostgreSQL, Redis, vector DBs).
- Build customer-facing web features with TypeScript /React /Next.js.
- Implement and iterate on AI agents inside our sandboxes.
- Write tests, instrument metrics, and deploy code through CI/CD pipelines.
- Own cloud and DevOps tasks: IaC, container builds, monitoring, and cost tuning.
- Collaborate with research and product teams to deliver customer projects on tight schedules.
What you bring
- 3+ years of professional software development.
- 2+ years working on AI or ML-enabled applications.
- Proficiency with at least one major cloud provider (AWS, GCP, or Azure) and container orchestration.
- Solid grasp of engineering best practices: code reviews, automated testing, observability.
- Clear written and verbal communication, with the ability to work independently and unblock yourself.
Nice to have
- Experience with LLM tooling, reinforcement learning, or GPU infrastructure.
- Familiarity with Kubernetes, Terraform, or similar IaC stacks.
Why Veris
Your code will land in production fast and shape the foundation of a platform that changes how enterprises train autonomous AI agents. We offer competitive pay, meaningful equity, top-tier benefits, and the hardware you need to do your best work.