Senior AI Engineer

This is a senior hire, and the most senior engineer we will bring on. You will own the SDK and take it to market, working directly with leadership and without anyone above you on the technical side. We are not looking for someone who needs a spec handed to them.

In the first ninety days:

• Own the SDK architecture and ship the first release
• Get the enforcement layer running cleanly across multiple coding agents at enterprise scale
• Stand up the deployment path for Azure and GitHub environments, including Azure DevOps and GitHub Actions
• Get enterprise pilots off the ground, fitting the deployment to each client’s stack, languages, and pipeline

Required

Systems and enforcement

• Built or operated guardrails, policy engines, or enforcement systems in production. Systems that block, not systems that warn.
• Deterministic systems design. You know why nondeterminism is a defect here and you build for idempotency and repeatability by default.
• Process and file system interception. Hooks, plugin architectures, extension points, and the failure modes of each.
• Performance discipline in a hot path. Enforcement runs on every write and cannot be the reason a developer’s editor feels slow.

Coding agents

• Production experience with Claude Code, GitHub Copilot, and Codex. You should know their hook and extension surfaces well enough to argue about them.
• Understanding of how agentic tools actually read a codebase, make tool calls, and mutate state.

SDK and API design

• Shipped an SDK or public API that outside teams built against
• Versioning, backwards compatibility, deprecation, and the discipline of not breaking your consumers
• Documentation and developer experience treated as part of the product, not an afterthought

Platform and pipeline

• Azure and Azure DevOps
• GitHub at enterprise scale, including Actions, org administration, branch protection, and merge policy
• Git internals. Hooks, refs, merge and rebase mechanics, and what actually happens at the merge gate.
• CI/CD pipeline engineering end to end

Code analysis

• Static analysis and AST-level parsing across more than one language
• Dependency and import graph analysis
• Comfortable adding support for a new language without a rewrite

• Security engineering fundamentals. Least privilege, access control, audit logging, cryptographic hashing and signing.
• Cross-platform work on macOS, Windows, and Linux, including the differences that matter
• Enterprise deployment reality. MDM, endpoint detection coexistence, and installs into environments with no internet.

Languages and frameworks

• Strong in TypeScript and JavaScript, including Node
• Strong in Java
• Solid Python
• React, and comfort in the front end when the work calls for it
• Able to pick up a language you have not shipped in and reason about it well enough to govern it

Seniority and track record

• Ten or more years building production software, with several of those years at a senior, staff, principal, or founding engineer level
• Extensive experience building harnesses, scaffolding, or control layers around coding agents. Not using agents. Building the thing that constrains them.
• You know from practice where agents are strong and where they fail, and you can say specifically which failure modes you have had to design around
• You build end to end yourself. Architecture through delivery through what happens when it breaks at 2am. There is nobody to hand the hard part to.
• Zero to one. You have taken something from nothing to shipped and in customers hands.
• You have set technical direction others followed, and you can defend a decision without needing a title behind it.
• You write specifications before you write code, and you can hand your work to someone else

Pace and environment

• You are fast. Not careless, but you ship in days rather than quarters and you do not need a long ramp before you are useful.
• You have worked at seed stage or earlier, or you know exactly what you are walking into. Small team, no scaffolding around you, priorities that move, and you own the outcome.
• You are comfortable deciding without complete information and correcting later

Preferred

• Kernel-level or OS-level programming
• Endpoint security frameworks on macOS or Windows
• Code signing, certificate management, and driver distribution
• Hardware-backed attestation and secure boot
• Compiler, language server, or developer tooling work
• Compliance frameworks such as SOC 2, ISO 27001, or FedRAMP
• Working alongside patent counsel on technical documentation, Remote, with real autonomy. We care what ships, not what hours you keep.d written communication skills

Structure. Contract to start, 1099, at an hourly rate commensurate with experience. Converts to salary at ninety days.

Equity. There is potential for an equity grant after ninety days, depending on performance and fit.

You work at the forefront of coding agent governance. Every enterprise deploying coding agents at scale is hitting the same wall, and almost nobody is building at this layer. The problems here do not have Stack Overflow answers yet.

You are in the room. The team is small, you work directly with leadership, and there is no layer between you and the decision. What you build ships.

You talk to the customers yourself. CTOs and engineering leaders at some of the largest companies in the world, about how they scale coding agents without losing control of their codebase. Not through a sales team. Directly.