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Über
Veris AI builds high-fidelity simulation environments that let enterprise agents learn by doing. Instead of relying on brittle prompt engineering or static tests, we expose models to realistic user flows, edge cases, and regulatory constraints so they can practice, fail safely, and improve through reinforcement learning and targeted fine-tuning. Backed by Decibel Ventures, Acrew Capital, and leading angels, our platform already boosts production agents in fintech, manufacturing, and customer support. We are a small, execution-focused team split between San Francisco and New York. We value scientific rigor, shipping fast and moving the needle for customers. If you want to shape how autonomous systems are trained and deployed in the real world, we'd love to hear from you. 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). 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. Experience with LLM tooling 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 reinforcement learning, model training, 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. Salary
$150,000 - $250,000 per year
Sprachkenntnisse
- English
Hinweis für Nutzer
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