Careers
Build the infrastructure enterprises can trust with real work: verifiable, cost-disciplined, and in control of their own data.
Dipp AI is assembling a small, senior team across systems engineering, applied AI, product, security, research, design, and enterprise delivery. Every role works on the same problem: closing the gap between an AI's advanced reasoning capabilities and an enterprise's ability to trust it with real work.
What we are building
Dipp AI Technologies is on a mission to close the gap between AI’s advanced reasoning capabilities and an enterprise’s ability to trust it with real work: verifiable, cost-disciplined, and in control of its own data.
We build Orcher, the agentic control plane that enforces Human-in-the-Role across seven components, and Dipp Intelligence, our Enterprise Superintelligence solution that compounds on verified execution.
Work directly with the founding team, building for customers from startups to Fortune 100 companies across industries. Help enterprises adopt frontier models, open weights and new compute providers without surrendering authority, economics or data control.
Dipp AI Research · September 6, 2026
Build the trust layer for the frontier era.
Our September commentary examines GPT-6 Astra, Claude Fable 5.1, Claude Mythos 5.1 and Muse Spark 1.3 through one enterprise question: can advanced reasoning be trusted with real work—verifiable, cost-disciplined, and in control of the enterprise’s own data?
Choice without surrendering control
Frontier APIs, open-weight families such as Llama, Qwen, DeepSeek, Mistral and Gemma, and enterprise-tuned models belong behind the same authority and evidence requirements.
A neutral plane across compute
AWS, Microsoft Azure and Google Cloud; neoclouds such as CoreWeave, Lambda and Crusoe; private infrastructure. The destination may change. The enterprise’s boundary and budget must not.
Seven controls. Compounding intelligence.
Cost Governance chooses the sufficient route. The Data Control Gateway governs egress. Observability traces the run. Human-in-the-Role binds authority, while verified execution compounds into Dipp Intelligence.
Named release examples follow the September commentary. Model families and compute providers are ecosystem examples, not a claim of certified integrations or universal availability.
Read Frontier Autonomy Needs a Control Plane →
Open roles
15 open roles. Applications are read by the founding team and reviewed weekly.
VP of Engineering, Control Plane
Build and lead the engineering organisation that ships Orcher into regulated enterprises.
Engineering leadership · New York, NY / Remote (US) · Full-time
Member of Technical Staff, Control Plane (Founding)
Own the gating path that decides whether an autonomous action commits, rolls back, or escalates.
Control plane engineering · New York, NY · Full-time
Member of Technical Staff, Identity & Cryptography
Build the role-bound credentials, revocation, and non-repudiation that make agent authority provable.
Identity & cryptography · New York, NY · Full-time
Member of Technical Staff, Verification & Policy
Own the Logic Scrubber: how a directive is verified against policy before authority is granted.
Control plane engineering · New York, NY / Remote (US) · Full-time
Member of Technical Staff, Evidence Systems
Build the append-only ledger and evidence packages that survive external audit.
Evidence systems · New York, NY · Full-time
Member of Technical Staff, Model Routing
Own dynamic model routing: the right model for each task, under a hard cost and policy ceiling.
Applied AI · New York, NY / Remote (US) · Full-time
Applied Research Lead, Governance & Routing
Lead the research programme behind Orcher's routing, governance economics, and published volumes.
Applied research · New York, NY · Full-time
Member of Technical Staff, Enterprise Data Boundary
Guarantee architecturally that enterprise data never trains anyone else's model.
Data platform · New York, NY / Remote (US) · Full-time
Product Manager, AI Control & Governance
Own the product surface where governance, cost control, and autonomy meet.
Product · New York, NY / Remote (US) · Full-time
Founding Product Designer
Define how consequential decisions look, feel, and read across Orcher and the Dipp AI brand.
Design · New York, NY / Remote (US) · Full-time
Security & Compliance Lead
Own Dipp AI's security posture and the compliance evidence enterprises demand before deployment.
Trust & security · New York, NY / Remote (US) · Full-time
Solutions Architect, Enterprise AI
Take Orcher into enterprise estates and make it work against real systems of record.
Customer engineering · New York, NY / Remote (US) · Full-time
Enterprise Account Executive
Sell governed autonomy to the executives who answer for what AI systems do.
Go-to-market · New York, NY / Remote (US) · Full-time
Member of Technical Staff, Product Engineering
Build the operator surfaces where humans review, approve, and investigate agent activity.
Engineering · New York, NY / Remote (US) · Full-time
Member of Technical Staff Intern, AI Systems (2027)
A 12-week paid internship building real pieces of the Orcher control plane.
Engineering & research · New York, NY / Remote (US) · Internship
Where we invest
Control-plane engineering
Verification, policy evaluation, and the gating path that decides whether an action commits.
Identity & cryptography
Role-bound credentials, revocation, and non-repudiation at enterprise scale.
Evidence systems
Append-only ledgers, exportable evidence packages, and regime-specific reporting.
Applied research
Governance economics, routing analysis, and the next volumes of our published research.
Do your strongest work on a consequential surface.
The strongest hires so far arrived with an argument about something in Vol. I.