Hire an AI Security Engineer
Keeps prompts, data, tools, and agents inside the lines, and provably so.
Secures the new attack surface AI creates: prompt injection, data exfiltration through context, tool misuse, model access governance, and the audit trail your enterprise buyers will demand.
30-minute fit call with an engineering lead. No hard sell, no deposit, and no change to the published rates.
PROVABLY INSIDE THE LINES
WHAT THEY OWN
Concrete deliverables, not job-description poetry.
01
Prompt injection defense
Layered controls for direct and indirect injection, tested adversarially.
02
Data boundary enforcement
PII and secrets kept out of prompts, logs, embeddings, and fine-tunes.
03
Tool-use security
Least-privilege permissions and sandboxing for anything an agent can touch.
04
AI red teaming
Structured attacks on your own system before someone else runs them.
05
Access governance
Who can call which model with which data, enforced, logged, reviewable.
06
Compliance evidence
SOC 2 / ISO / EU AI Act-ready documentation of your AI controls.
HOW MATCHING WORKS
From role brief to production evidence.
You are not buying a resume. You are choosing a specific engineer, then testing the match on committed work before making a longer decision.
01
Map the real gap
A 30-minute call with an engineering lead defines what the AI Security Engineer must own, the stack they inherit, and the evidence that will count as a successful trial.
02
Review matched profiles
Within 48 hours, you receive 2-3 role-matched profiles. You can review the work history, technical evidence, certifications, and availability before choosing whom to interview.
03
Interview against the work
We help turn your current failure cases into practical interview scenarios. You choose the engineer; no profile moves forward without your approval.
04
Prove fit in one paid week
The engineer works in your repo or approved data environment. You judge real output, communication, and technical decisions before any month-to-month continuation. Typical evidence includes threat-modeled your highest-risk ai path, ran a first injection and exfiltration test suite, locked down the scariest tool permission.
What makes a shortlist useful: each profile should match the ownership boundary, not merely repeat the right tools. Compare the candidate's recent work, the decisions they owned, the evidence they can explain, and the overlap they can commit to. Ask who reviewed the work and what changed after it reached production. Certifications support that judgment when a platform or security standard matters; they do not replace production experience.
No deposit, no unpaid test project, and no long-term contract required. Trial work is paid at the published rate and belongs to you.
PRICING
Pick the level, keep the senior oversight.
Junior
$4,500 /month
or $28/hr on Time & Material
AI-native from day one
Senior
MOST HIRED$8,000 /month
or $50/hr on Time & Material
Architecture & judgment
Dedicated engineers are billed monthly; Time & Material is billed hourly on tracked actuals. The paid one-week trial applies to every dedicated hire.
YOU NEED THIS ROLE IF
An enterprise deal just asked how you secure your AI features
Agents can call tools and nobody wrote down which ones
Customer data flows into prompts and nobody has mapped where it goes
BY END OF WEEK ONE
Threat-modeled your highest-risk AI path
Ran a first injection and exfiltration test suite
Locked down the scariest tool permission
Drafted the controls doc your buyers keep asking for
OUTCOMES YOU CAN MEASURE
Security answers that close enterprise deals
Agents with least-privilege, audited tool access
Injection attempts that fail and get logged
AI features your CISO stops worrying about
DEVELOPER PROFILES
See the depth behind a useful shortlist.
Explore AI Security Engineer profiles with the work evidence, relevant experience, and skill detail behind a useful shortlist.
Farah Siddiqui
Senior AI Security Engineer
Senior AI Security Engineer with 10 years of experience, specializing in LLM application threat modeling for digital banking.
PythonIAM
Kubernetes Security+6
Tomasz Kowalczyk
Senior AI Security Engineer
Senior AI Security Engineer with 12 years of experience, specializing in model supply-chain security for enterprise software.
PythonIAMKubernetes Security+6
Adaeze Obi
Senior AI Security Engineer
Senior AI Security Engineer with 8 years of experience, specializing in agent identity and permissions for payment operations.
PythonIAMKubernetes Security+6
Helena Duarte
Senior AI Security Engineer
Senior AI Security Engineer with 9 years of experience, specializing in privacy-preserving AI systems for healthcare data.
PythonIAMKubernetes Security+6
Radu Ionescu
Senior AI Security Engineer
Senior AI Security Engineer with 11 years of experience, specializing in Kubernetes security for AI workloads for cloud platforms.
PythonIAMKubernetes Security+6
Miguel Santos
Senior AI Security Engineer
Senior AI Security Engineer with 7 years of experience, specializing in AI red teaming and abuse testing for consumer platforms.
PythonIAMKubernetes Security+6
Njeri Kamau
Senior AI Security Engineer
Senior AI Security Engineer with 8 years of experience, specializing in AI security monitoring and response for telecommunications.
PythonIAMKubernetes Security+6
Arjun Rao
Senior AI Security Engineer
Senior AI Security Engineer with 13 years of experience, specializing in secure AI architecture and governance for financial services.
PythonIAMKubernetes Security+6
Leila Amari
Senior AI Security Engineer
Senior AI Security Engineer with 7 years of experience, specializing in secrets and key management for AI for B2B SaaS.
PythonIAMKubernetes Security+6COMMON QUESTIONS
What teams ask before they shortlist.
What does an AI Security Engineer own?
Secures the new attack surface AI creates: prompt injection, data exfiltration through context, tool misuse, model access governance, and the audit trail your enterprise buyers will demand. The role is accountable for concrete production deliverables, including prompt injection defense, data boundary enforcement, tool-use security. The trial scope names the output, reviewer, and acceptance evidence before work starts.
How do I know whether we need an AI Security Engineer?
This role is usually the right hire when an enterprise deal just asked how you secure your AI features; agents can call tools and nobody wrote down which ones; customer data flows into prompts and nobody has mapped where it goes. On the matching call, an engineering lead checks the boundary against adjacent roles so you do not hire an impressive title for the wrong bottleneck.
How does Devlyn verify AI Security Engineer skills?
Profiles show relevant work history, technical interview evidence, role-specific capabilities, and meaningful certifications where they exist. We then help you interview against your own architecture and failure cases. The final check is a paid one-week trial in your repo or approved data environment, not a generic coding puzzle.
What should the paid one-week trial produce?
The trial is scoped around committed work your team already needs. For this role, a useful first week can include threat-modeled your highest-risk AI path; ran a first injection and exfiltration test suite; locked down the scariest tool permission; drafted the controls doc your buyers keep asking for. You keep the work whether or not the engagement continues.
What does it cost to hire an AI Security Engineer?
Published dedicated rates start at $4,500 per month, or $28 per hour for Time & Material work. Senior rates are $8,000 per month or $50 per hour. The trial is paid at the same published rate, with no deposit or conversion fee.
What happens if the engineer is not the right fit?
You can stop after the paid trial or request a free replacement during the engagement. Work continues month to month with no long-term lock-in. NDA and IP assignment are completed before onboarding, access is scoped to the work, and everything produced belongs to you.
PAIRS WELL WITH