Founding Control-Plane Engineer

Dipp AI Technologies

New York (NY)

On-site

USD 260,000 - 340,000

Full time

10 days ago

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Job summary

Dipp AI Technologies is seeking a highly capable engineer to own the gating path for agent action commits in our control-plane. Based in New York, this full-time role focuses on latency-sensitive policy evaluation and verification within a regulated environment.

You will design and implement pre-commit verification, ensure low-latency policy evaluation under enterprise load, and define robust failure semantics. Strong ownership and systems programming skills are essential.

Qualifications

  • Experience with distributed systems in regulated or high-consequence environments.
  • Fluency in a systems language and reliability under partial failure.
  • Ability to take ownership with minimal process.

Responsibilities

  • Design and implement the pre-commit verification path for agent actions.
  • Build policy evaluation with predictable latency under enterprise load.
  • Define failure semantics: what happens when verification cannot complete.

Skills

Distributed systems
Systems programming
High-assurance thinking

Job description

Own the gating path that decides whether an agent action commits.

Team Control-plane engineering

Location New York, NY

Type Full-time

Compensation $260k-$340k + meaningful equity

About the role

You will build the enforcement core of Orcher: the policy evaluation and verification path every agentic action passes through before it touches a system of record. This is latency-sensitive, correctness-critical work where being wrong has institutional consequences.

What you will do
  • Design and implement the pre-commit verification path for agent actions
  • Build policy evaluation with predictable latency under enterprise load
  • Define failure semantics: what happens when verification cannot complete
What we look for
  • Deep experience with distributed systems in regulated or high-consequence environments
  • Fluency in a systems language and in reasoning about correctness under partial failure
  • Comfort operating with very little process and very high ownership
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