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Security Engineer

format:Remotetype:Contractcompany:Outstaff
application securitymicroservicescloudserverlessgitopsllmmachine learningmulti-agent systemsowasp asvsmitre att&cknistai agents
langchainautogencrewaicissp
englishC1–C2
experience6+ years
domainSaaS
> full description

Format: remote, full-time, long-term contract 

Rate: $25–35/h (contractor, net)

 Hours: strong overlap with US Eastern / Central business hours Client: North American SaaS company serving the public sector (procurement, budgeting, payments, grants), 3,600+ organizations 

 

About the role The company is expanding its AI/ML product line: AI-powered features, intelligent automation, agentic pipelines and LLM integrations. You will join the Security Engineering team and own AI security end-to-end, from threat modeling agentic systems to defining secure development practices that engineering teams follow.

 

 What you will do

 - Own AI security projects from concept to delivery across the AI/ML lifecycle

 - Assess and mitigate AI-specific risks: prompt injection, data poisoning, model integrity, adversarial attacks, agentic AI threats

 - Evaluate and secure agentic AI systems: multi-agent architectures, tool use, autonomous pipelines

 - Build and maintain security tooling, automation and controls across AI/ML pipelines and infrastructure

 - Define secure AI development practices across the SDLC with Architecture, Product, Platform, DevOps and IT 

- Contribute to AI governance: policies, risk assessments, responsible AI frameworks 

- Write technical security documentation for AI systems 

 

Requirements

 - 6+ years in security engineering / architecture in a SaaS environment 

- Strong AppSec and security architecture for microservice, cloud-native and serverless applications 

- Security tooling and automation built as code; GitOps and continuous security and compliance

 - Hands-on experience securing AI/ML or LLM-based systems

 - Familiarity with OWASP LLM Top 10, MITRE ATLAS, NIST AI RMF, EU AI Act

 - Understanding of agentic AI risks: autonomous agents, tool orchestration, memory, multi-agent coordination 

- English C1: you will lead security initiatives with US teams and write policies 

 

Nice to have 

- LLM security, model red-teaming, AI threat modeling

 - Securing agents built with LangChain, AutoGen or CrewAI

- AI governance programs, risk registers, responsible AI policies

 - Certifications: ISC2 AI Security, CISSP, CCSP, CSSLP