Remote (US), based in Arizona. Async by default.

What kind of engineer are you?

AI Evaluation Engineer. LLM adversarial validation and distributed inference infrastructure (home lab), every result replay-verifiable.

What proof do you offer?

Deterministic replay artifacts. COBOL PICTURE-clause forensic audit. 6 of 177 attacks missed, 171/177 adversarial caught on its own synthetic test corpus (n=284, written for the repo). All verifiable at puodziukas.dev/proof.

Why hire you instead of engaging a consulting firm?

Single operator, full-time, inside your perimeter. The person who scoped the work does the work, every output logged and replay-verifiable.

For recruiters and hiring managers

Michael Puodziukas, AI Evaluation Engineer, Remote (US), based in Arizona

Reach me about a remote W2 role.

Q: What compensation are you targeting?

Negotiated privately, by role and scope. W2 full-time or contract-to-hire. Remote (US), based in Arizona. Available now; start date set at offer.

Q: How quickly can you start?

W2 full-time or contract-to-hire - Remote (US), based in Arizona - Available now; start date set at offer.

Open to mid-level and senior IC roles, W2 full-time or contract-to-hire, remote (US), based in Arizona. U.S.-authorized, no sponsorship.

Hire me - remote W2 Resume PDF

The button opens an email to me. I reply by email, and a technical screen follows if the role fits.

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Job description

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Titles I fit

AI Evaluation Engineer
AI Evaluation Analyst
AI Engineer (eval, guardrails, release side)

Also open to

Applied AI Engineer
AI Governance / GRC Engineer
AI Governance / GRC Analyst
Responsible AI Specialist (eval or red-team side)
AI Platform Engineer
AI Platform / Operations Analyst
QA / Test Automation Engineer
MLOps / LLM Ops
Solutions / Forward Deployed / Implementation Engineer
AI Security Engineer (LLM red team, prompt-injection defense)
AIOps Engineer (LLM monitoring, release gates)

Recruiters and agencies

W2 full-time or contract-to-hire. Remote (US), based in Arizona. Available now; start date set at offer. Submission details for agencies ->

Role fit

The top lane is open. The rest expand, and each links to its proof.

AI Evaluation Engineer

Evaluation systems that run the tests and check that each result is correct.

Proof for this role ->

Responsible AI Specialist (eval or red-team side)

Automated attacks on AI systems, with a record of which ones get through.

Proof for this role ->

AI Governance / GRC Engineer

I write AI governance policy as a build that fails when a control is missing, and the build generates the evidence a reviewer can re-run.

Proof for this role ->

AI Platform Engineer

Release gates that block an AI deploy when its safety checks fail.

Proof for this role ->

AI Engineer (eval, guardrails, release side)

AI features with the tests and release gates written first, so anyone can re-run the results.

Proof for this role ->

QA / Test Automation Engineer

I write automated tests, then prove they bite: a planted failure must turn each gate red. Each public repo cited on /proof ships a fixed corpus, an evaluator and a pytest suite.

Proof for this role ->

AI Evaluation Analyst

I read evaluation results, check each verdict against its evidence, and report what passed, what failed and why. The same public proofs back the engineer lane.

Proof for this role ->

AI Governance / GRC Analyst

I map AI controls to NIST AI RMF, EU AI Act and ISO/IEC 42001 requirements, read the evidence behind each control and track its status. The same public proofs back the engineer lane.

Proof for this role ->

AI Platform / Operations Analyst

I read release evidence, track reliability signals and report when a deploy was blocked and why. The same public proofs back the engineer lane.

Proof for this role ->

Solutions / Forward Deployed / Implementation Engineer

Independent build work, shown as runnable public artifacts, demo-ready, with the written scope first. No prior employer or buyer is claimed.

Proof for this role ->

How I work on a team

I work from a written scope and ask questions early.
Code lands in your repo. Decisions arrive as written diffs with replay commands your team can run.
Every public-repo result is reproducible. Clone it and check.

Interview logistics

I work async first: written questions and replay exercises. I take live calls once a role is open. The core claims clone and run from public repos, and I walk through them in a technical screen.

Contact

Send the role, the team focus and the timeline.

GET IN TOUCH | REPLY BY EMAIL

One paragraph. I reply by email.

The more specific the note, the more useful the reply.

or email directly ->

Objections, answered first

AI Platform Engineer: No public pager rotation or SLO history. I would measure uptime and incident load first.
QA / Test Automation Engineer: No public UI, browser or REST API test suite, and no TestRail work on record. I would show gate testing first; there is no public API test suite yet.
Applied AI Engineer: No public cloud GPU or Kubernetes work. My serving record is a home-lab cluster. I would move one serving path onto your stack and measure it against the home-lab baseline.
Solutions / Forward Deployed / Implementation Engineer: No public customer deployment or on-site work. A clone-and-run demo scoped to your problem.
AI Evaluation Analyst: No public dashboard used by a business team. My reporting samples are case studies. I would build a report on your data and agree its fields with your team.
AI Governance / GRC Analyst: No third-party certification and no work inside a regulated organization. I would map one of your controls to its evidence.
AI Platform / Operations Analyst: No public pager rotation or SLO history. Reliability figures are self-reported. I would pull reliability figures from your own incident records.

Submit in sixty seconds

Name: Michael Puodziukas
Titles: AI Evaluation Engineer, AI Evaluation Analyst, AI Engineer (eval, guardrails, release side)
Level: Mid-level and senior IC roles. W2 full-time or contract-to-hire, Remote (US), based in Arizona.
Location: Remote (US), based in Arizona
Employment type: W2 full-time or contract-to-hire
Work authorization: U.S.-authorized, no sponsorship
Availability: Available now; start date set at offer.
What he does: Tests that catch AI model failures before release, published so anyone can run them.
Proof: https://github.com/mpuodziukas-labs/cobol-pic-probe
Contact: michael@puodziukas.dev
Résumé: PDF Plain text

Copy and paste

Name: Michael Puodziukas
Titles: AI Evaluation Engineer, AI Evaluation Analyst, AI Engineer (eval, guardrails, release side)
Level: Mid-level and senior IC roles. W2 full-time or contract-to-hire, Remote (US), based in Arizona.
Location: Remote (US), based in Arizona
Employment type: W2 full-time or contract-to-hire
Work authorization: U.S.-authorized, no sponsorship
Availability: Available now; start date set at offer.
What he does: Tests that catch AI model failures before release, published so anyone can run them.
Proof: https://github.com/mpuodziukas-labs/cobol-pic-probe
Contact: michael@puodziukas.dev
Résumé: /resume.pdf and /resume.txt