{"id":2452441,"url":"https://alion.io/job/crewbloom-aiml-security-engineer","title":"AI/ML Security Engineer","company":{"id":4389,"name":"CrewBloom","domain":"crewbloom.com","url":"https://alion.io/company/crewbloom","size_band":null,"is_staffing_agency":false,"employer_type":"staffing","is_intermediary":false,"listed_via":null,"ats_vendor":"Workable","truth_index":{"grade":"A","score":88,"open_postings":7,"ghost_share":0,"stale_share":0.286,"repost_share":0,"time_to_fill_p50_days":112,"computed_at":"2026-10-14T06:34:16Z"}},"role":"Security","role_family":"Security","seniority":null,"employment_type":"full_time","work_mode":"remote","remote_scope":"stated_regions","remote_scope_basis":"posting_text","remote_working_hours":{"label":"CST","utc_offset_min":-6,"utc_offset_max":-6},"hiring_geo_confidence":"explicit","locations":[],"countries":[],"hiring_countries":["AR","BR","MX","AG","AW","BS","BB","BZ","BM","BO","VG","BQ","KY","CL","CR","CW","DM","DO","EC","SV","FK","GF","GD","GP","GT","GY","HT","HN","JM","MQ","MS","NI","PA","PY","PE","PR","KN","LC","PM","SX"],"hiring_countries_total":45,"salary":null,"salary_estimate":{"min_usd":51000,"max_usd":150000,"period":"year","method":null,"sample_n":4493},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"CI/CD","optional":false},{"name":"Function Calling","optional":false},{"name":"Java","optional":false},{"name":"LLM","optional":false},{"name":"LLM Guardrails","optional":false},{"name":"Machine Learning","optional":false},{"name":"Python","optional":false},{"name":"Red Teaming","optional":false},{"name":"Threat Modeling","optional":false},{"name":"Tool Use","optional":false},{"name":"Agile","optional":true},{"name":"AWS","optional":true},{"name":"Docker","optional":true},{"name":"Git","optional":true},{"name":"GitHub","optional":true},{"name":"Kubernetes","optional":true}],"status":"live","first_seen_at":"2026-10-13T15:10:40Z","employer_posted_date":"2026-10-13","last_verified_at":"2026-10-14T15:29:43Z","board_verified":true,"closed_at":null,"days_open":1,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":1},"description":"We are looking for an AI/ML Security Engineer with experience in prompt injection and AI security to join a remote team based in LATAM and working CST hours. You will help develop frameworks, tools, and infrastructure to evaluate, secure, monitor, and govern Machine Learning, Generative AI, and Agentic AI solutions. A key focus is identifying and remediating AI security threats, including prompt injection, jailbreaks, data leakage, adversarial inputs, and unsafe AI/agent behavior.\nYou will work closely with AI/ML, security, and product teams to build automated security evaluations, establish security metrics, investigate vulnerabilities, and implement effective remediation and guardrails across the AI/ML lifecycle.\nKey Responsibilities\nDesign and develop frameworks to evaluate the security, safety, accuracy, reliability, and performance of ML/GenAI solutions\nIdentify, reproduce, and remediate prompt injection and indirect prompt injection vulnerabilities\nDevelop automated security and adversarial tests for LLMs and Agentic AI, including jailbreaks, data leakage, and unsafe tool use\nBuild and maintain metrics, monitoring, and evaluation capabilities for AI/ML applications\nCollaborate with engineering and security teams to develop AI threat models, security controls, and guardrails\nInvestigate vulnerabilities and unexpected behavior across LLMs, AI agents, APIs, and supporting infrastructure\nContribute to AI/ML infrastructure, CI/CD pipelines, APIs, and automation\nWrite scalable, secure, and maintainable code, primarily in Python\nDevelop unit, integration, functional, and security tests\nParticipate in code reviews, troubleshooting, production support, and security assessments\nStay current with emerging AI security threats, attack techniques, and defensive strategies\nRequirements\n4-5 years of experience in ML Engineering, Software Engineering, AI Security, Application Security, or a related field, or an advanced degree with relevant experience (preferred)\nExperience with Generative AI, LLMs, and/or Agentic AI (preferred)\nUnderstanding of LLM security threats, especially prompt injection, indirect prompt injection, jailbreaks, and data leakage (preferred)\nExperience with AI/ML security testing, adversarial testing, red teaming, vulnerability assessment, or threat modeling (preferred)\nExperience building AI/ML evaluation, monitoring, or governance frameworks (preferred)\nStrong Python programming skills; Java or other languages are a plus (preferred)\nExperience with ML deployment, CI/CD, data pipelines, and production infrastructure (preferred)\nHands-on experience with AWS, Docker, and Kubernetes (preferred)\nStrong foundation in software engineering, APIs, distributed systems, databases, and testing (preferred)\nExperience with Git/GitHub and Agile/Sprint development environments (preferred)\nStrong debugging, analytical, and problem-solving skills (preferred)\nBenefits\n4-5 years of experience in ML Engineering, Software Engineering, AI Security, Application Security, or a related field, or an advanced degree with relevant experience (preferred)\nExperience with Generative AI, LLMs, and/or Agentic AI (preferred)\nUnderstanding of LLM security threats, especially prompt injection, indirect prompt injection, jailbreaks, and data leakage (preferred)\nExperience with AI/ML security testing, adversarial testing, red teaming, vulnerability assessment, or threat modeling (preferred)\nExperience building AI/ML evaluation, monitoring, or governance frameworks (preferred)\nStrong Python programming skills; Java or other languages are a plus (preferred)\nExperience with ML deployment, CI/CD, data pipelines, and production infrastructure (preferred)\nHands-on experience with AWS, Docker, and Kubernetes (preferred)\nStrong foundation in software engineering, APIs, distributed systems, databases, and testing (preferred)\nExperience with Git/GitHub and Agile/Sprint development environments (preferred)\nStrong debugging, analytical, and problem-solving skills 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