Job description

We’re looking for an exceptional automation engineer to build the pipeline that scales security review across Apple’s 1000s+ services. You will turn security expertise into running software, designing and operating AI agentic review system, skills, tool layer, evaluation harness on top of Apple's existing security tooling, and giving reviewers a reliable, high-throughput pipeline to execute against. You’ll partner closely with the security engineers who define the review standards and the analysts who validate the output, and build automation that reduces toil. 1 year of building LLM- or agent-based systems that ran in production, with a measured quality bar 8+ years building and operating production automation, data pipelines, or backend services Highly proficient in at least one of Python, Go, or Java Experience integrating third-party and first-party APIs, tooling, and services into reliable end-to-end workflows and AI agent workflows Working knowledge of application and cloud security concepts (threat modeling, vulnerabilities, secure configuration) MS or BS or equivalent experience in Computer Science, Engineering, or a related field OR equivalent practical experience in Software or Security Engineering Experience with Agent engineering: retrieval, grounding, citation, reasoning Experience with Agentic workflow design with bounded autonomy, building LLM- or agent-based automation and evaluating output quality (precision/recall, human-in-the-loop feedback loops), AI agent evaluation harness as CI Familiar with AWS cloud resources (S3, EC2, Lambda, Step Functions, etc.) Experience with security tooling such as SAST/SCA scanners, SBOM tooling, or vulnerability intelligence platforms Background in security review, threat modeling, or supply-chain security Experience delivering tooling used by non-engineer reviewers or contractors at scale Awareness of AI-specific threats in systems that ingest untrusted input

Requirements

Must-haves

1 year of building LLM- or agent-based systems that ran in production, with a measured quality bar
8+ years building and operating production automation, data pipelines, or backend services
Highly proficient in at least one of Python, Go, or Java
Experience integrating third-party and first-party APIs, tooling, and services into reliable end-to-end workflows and AI agent workflows
Working knowledge of application and cloud security concepts (threat modeling, vulnerabilities, secure configuration)
MS or BS or equivalent experience in Computer Science, Engineering, or a related field OR equivalent practical experience in Software or Security Engineering
Experience with Agent engineering: retrieval, grounding, citation, reasoning
Experience with Agentic workflow design with bounded autonomy, building LLM- or agent-based automation and evaluating output quality (precision/recall, human-in-the-loop feedback loops), AI agent evaluation harness as CI
Familiar with AWS cloud resources (S3, EC2, Lambda, Step Functions, etc.)
Experience with security tooling such as SAST/SCA scanners, SBOM tooling, or vulnerability intelligence platforms
Background in security review, threat modeling, or supply-chain security
Experience delivering tooling used by non-engineer reviewers or contractors at scale
Awareness of AI-specific threats in systems that ingest untrusted input

Nice-to-haves

None flagged.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

aillmpythongojavaaws

Platform: apple
Effort: medium