Applied AI Engineer with ML focus
Core
Design and implement AI-assisted automation for peer review, testing, and documentation within regulated software development environments.
Role type
Applied AI Engineer (DevSecOps focus)
Builds
AI-driven automation pipelines for code review, testing, and compliance documentation
Domain
Aerospace and Defense software development
Deliverable
production ML models | infrastructure
Required skills
LLM-based system integration, human-in-the-loop design, CI/CD pipeline automation, DevSecOps, security-focused system design, auditability implementation, risk assessment for AI systems
Preferred skills
DoD software factory experience, AI-assisted code review, requirement traceability, peer review workflows
Technologies
LLM, AI CI/CD, DevSecOps, Security
Responsibilities
Create and implement AI-assisted automation for peer review, testing, and documentation; Incorporate AI tools into current DevSecOps and software factory workflows; Establish guardrails and confidence levels for AI-assisted systems; Assess AI automation for its reliability, risks, and long-term sustainability; Document automation designs along with operational constraints
Seniority
Mid-Senior, hands-on IC