Hire AI Security Engineers Who Make Your AI Safe to Ship and Easy to Audit
Your models, agents, and data pipelines opened a new attack surface, and a standard AppSec team was never built for it. Hire AI security engineers from Entrans who threat model LLM applications and block prompt injection. They lock down agent tool permissions and write the control documentation your enterprise buyers keep asking for. Interview this week and onboard in 48 to 72 hours.
Why Market Leaders Choose Entrans AI Security Engineers
AI security sits between two skill sets that rarely live in one person. Our engineers have both. They know how attackers break models, and they know how to ship the fix in production code.
1. They Secure Your AI, and They Use AI to Secure You
Two problems, one hire. Our engineers harden your LLM apps and agents, then point AI at your own alert queue so triage stops eating your analysts’ week.
2. Senior Talent, Vetted on Real Production Work
You pick from a bench of 500+ domain-trained professionals, not resumes pulled off a job board. Every profile we send shows shipped work, not just a tool list.
3. A Full Engineering Team Stands Behind Each Engineer
Marketplaces sell you a person and stop there. Behind your engineer sit our AI, cloud, data, and cybersecurity and compliance practices. A hard problem gets escalated instead of stalling for a week.
4. Control Evidence That Closes Enterprise Deals
Security questionnaires stall deals. Our engineers map your AI controls to SOC 2, ISO 27001, GDPR, HIPAA, and the EU AI Act. Then they write the documentation your buyers and auditors ask for.
5. Hire a Distributed Team Without Losing Overlap
Hire a remote AI security specialist, or a distributed team of them, and keep four or more hours of daily overlap with your engineers. Entrans delivers from the US and India, so design reviews and incident calls happen on your clock.
Hire AI Security Experts From Entrans Who Are Certified and Experienced
Here is what these engineers own once they join your sprint. They work alongside the same teams that handle agentic AI framework integration, so controls get designed into the agent instead of bolted on after launch.
AI Threat Modeling for Models, Pipelines, and Agents
Your engineer maps every path data takes through prompts, retrieval, embeddings, fine-tunes, and tool calls. Then they rank what an attacker would try first, so you fix the top three risks instead of arguing about forty.
Prompt Injection and Jailbreak Defense
Direct and indirect injection get layered controls: input screening, output filtering, retrieval hygiene, and system prompt isolation. Every control ships with the test that proves it holds.
AI Red Teaming and Adversarial Testing
Your engineer attacks your own system with tools like Garak, PyRIT, and Promptfoo. You read the failures in a report before a customer or a security researcher finds them.
Data Boundary, Privacy, and Secrets Control
PII and secrets stay out of prompts, logs, vector stores, and training sets. Masking and redaction run at the boundary using tools such as Microsoft Presidio and HashiCorp Vault.
Agent Identity, Tool Permissions, and Audit Trails
Every agent gets least-privilege scopes, sandboxed execution, and a log of what it called and why. When an auditor asks who did what, you answer with one query.
AI Security Operations and Detection Engineering
Some teams need AI security operations experts for hire more than they need a build team. Our engineers write detections in Splunk or Microsoft Sentinel and automate alert enrichment and triage. False positives drop, so analysts spend the day on real threats.
Schedule Interviews With AI Security Engineers and Onboard Them Within 48 to 72 Hours
AI Security Engineering Technology Expertise
AI and LLM Security
Identity, Secrets, and Policy
Cloud, Pipeline, and Supply Chain
Detection, Response, and Monitoring
Our Customer Success Stories
Engineering a Scalable IAM Platform for a Global Cybersecurity Company
Industry: Information Technology and Cybersecurity
Technical Stack: Zero-trust framework | Microservices architecture | SSO | ABAC | IDaaS | Federated identity | Real-time policy enforcement across cloud and on-prem
A global cybersecurity company was stuck on a legacy IAM platform with no modern authentication options and rigid policies. Compliance gaps across international deployments blocked expansion into new markets. Entrans re-architected it on a zero-trust framework and rebuilt the IAM modules as microservices, adding dynamic policy management, federated identity, SSO, and ABAC. Our team embedded compliance monitoring for SOC 2, ISO 27001, and GDPR into the product, and the scalable IAM platform now enforces policy in real time across cloud and on-prem environments. It holds 99.9% uptime and onboards enterprise clients 80% faster.
Blockchain Ecommerce Cyber Threat Intelligence Platform
Industry: eCommerce and Blockchain
Technical Stack: Custom API ingestion pipelines | Data normalization layer | Scalable backend services | Centralized monitoring dashboard | Open-source attack intelligence APIs
A blockchain-powered ecommerce enterprise pulled threat data from several open-source attack APIs with nothing to unify it. Intelligence went unprocessed because the team had no internal engineers to build or run the system. Entrans designed and delivered the entire cyber threat intelligence platform, starting with ingestion pipelines that normalize and consolidate every source. A backend processes and stores threat data at scale. A dashboard surfaces live intelligence for security operations. Threat detection ran 3X faster, all targeted open-source sources reached 100% API coverage, and the client needed 0 internal engineers to get there.
Designed for Enterprise Speed and Control
Hiring an AI security engineer should not take a quarter. Our process runs in days and you approve every step. Our DataOps and MLOps teams join the same engagement once the work reaches your model pipelines.
1. Share Your Requirements
Share the AI systems in scope, your stack, and your compliance date. One 30-minute call is enough.
2. Get Curated Profiles (Within 24 to 48 Hours)
You get matched profiles with real project history in LLM red teaming, IAM builds, or SOC automation. No blind bench dumps.
3. Evaluate and Interview
Interview on your own terms. Bring a live failure case and see how the engineer would contain it.
4. Onboard and Kickoff (Within 48 to 72 Hours)
NDAs and least-privilege access are sorted before day one. Your engineer joins standups and starts on your highest-risk path.
5. Continuous Support and Scaling
Add an AI security analyst, detection engineer, or cloud security engineer as scope grows. A delivery lead reviews the work every sprint.
Our Hiring Models
Dedicated AI Security Engineers
One engineer, or a small pod, working only on your systems for the long run. They own the threat model, the controls, and the evidence pack from first sprint through audit. Hire them remotely on contract-to-hire or project terms.
Team Augmentation
Drop an AI security specialist into the security or platform team you already run. This fits when you have application security engineers in place and need the model, agent, and data layer covered.
Project-Based Engagement
Scoped work with a fixed outcome: an AI red team exercise, a pre-audit control review, or a SOC automation build. You get the deliverable and the documentation, then decide what comes next.
Where Our AI Security Engineers Deliver Impact
We work with global clients in regulated, high-volume sectors: banking, healthcare, manufacturing, retail, and real estate. Our specialists design AI controls that hold up in a real audit. They draw on deep work in identity, data governance, cloud security, and model risk.
Chief Executive Officer
Chief Executive Officer
Looking to Hire AI Security Engineers Before Your Next Audit or AI Launch?
Book a Free ConsultationFrequently Asked Questions
What does an AI security engineer do?
An AI security engineer secures the AI system itself: the models, the training and retrieval pipelines, and any agents that can call tools. Daily work includes threat modeling LLM applications and defending against prompt injection and data exfiltration. The same engineer enforces least-privilege tool access, runs adversarial tests, and documents controls for audit. That is different from classic application or network security, which protects the software around the AI rather than the AI itself.
How much does it cost to hire AI security engineers?
Cost depends on seniority, scope, and engagement model rather than one rate card. Hiring in-house in the US usually means senior-level total compensation plus months of search. A dedicated engineer through Entrans starts within days and scales by sprint. Team augmentation costs less than a full-time hire because you pay for the skill you are missing, not a whole seat. Send us your scope and we will come back with a written estimate.
What is the difference between an AI security engineer and an AI security analyst?
An AI security engineer builds and hardens: threat models, guardrails, permission boundaries, and secure pipelines. An AI security analyst watches and responds, monitoring model and agent behavior, triaging alerts, and investigating incidents. Many teams hire AI security analysts for coverage and one engineer to build the controls those analysts depend on. Entrans staffs both, often on the same engagement.
Can I hire a remote AI security specialist and still get time zone overlap?
Yes. Entrans delivers from the US and India. You can hire one remote AI security specialist or a distributed team. Either way you keep four or more hours of daily overlap with your engineers, which covers standups, code review, and incident calls. We agree the working hours before onboarding, not after.
How do you protect our data, models, and IP while your engineers work?
Engineers sign an NDA before onboarding and work inside your environment under least-privilege access, with activity logged. All code, models, prompts, and documentation your engineer produces belong to you. Entrans is ISO certified and a NASSCOM member, and our teams have delivered under SOC 2, ISO 27001, GDPR, and HIPAA requirements.
