AI Solutions Engineer (remote, no quota)
Open to mid-level and senior IC roles, W2, remote (US).
Independent build work, shown as runnable public artifacts, demo-ready, with the written scope first. No past customers are claimed.
written scoperunnable artifactdemoverdictreceipt
Requirements and proof
| Requirement | Proof |
|---|---|
| Write the scope down first, so what is built and what is not is agreed in writing | Governance-mapping case study |
| Show a working demo that the other side can clone and run themselves | Public adversarial-gate repo |
| Explain a technical result to a non-specialist with the evidence beside it | COBOL payroll forensics case study |
| Turn a vague AI request into a checkable pass or fail test | Release-gate case study |
| Map a technical control to the framework a buyer asks about | Governance-mapping case study |
| Hand over a re-runnable record of what was built and verified | Artifact-lineage case study |
What could go wrong hiring me
This is independent build work shown as public artifacts, not delivery for past customers.
Counter: Public adversarial-gate repo with CI
Demos here run on synthetic data written for the repo, not on a customer environment.
Counter: COBOL payroll forensics case study
No quota-carrying or pre-sales history is documented here.
Counter: Governance-mapping case study
Verify in 60 seconds
- Clone the public adversarial-gate repo and run: pytest llm-adversarial-gate/ -v, https://github.com/mpuodziukas-labs/llm-adversarial-gate
- Open the COBOL payroll forensics case study and compare its stated loss figure with the public probe README, /cases/cobol-payroll-forensics