Engineering principle
Production before demos
A prototype proves possibility. Production engineering proves reliability, operability, and control.
Careers
Build production AI systems that have to work in the real world.
Join DeepVention to engineer agentic systems, secure tool infrastructure, observability, evaluations, and AI product integrations for demanding software teams.
Engineering principles
How we want engineering decisions to be made.
Engineering principle
Security boundaries are architecture
Identity, permissions, data access, and high-impact actions are designed into the system, not added at the end.
Engineering principle
Evaluation before confidence
We prefer test datasets, traces, and release criteria over intuition about a prompt.
Engineering principle
Observability before scale
A system should be debuggable before it becomes widely autonomous.
Engineering principle
Frameworks are tools, not identity
Choose the simplest architecture and framework that fits the constraints.
Engineering principle
Write down decisions
Important tradeoffs, failure modes, and operational assumptions should be reviewable by the team.
Engineering principle
Human oversight for high-impact actions
Autonomy should be bounded by risk, permissions, and explicit approval where required.
Open roles
Work on systems that have to hold up.
There are no open roles right now.
Check back as the team grows.