AI Engineer (Entry Level)
Core
Build and maintain AI-enhanced CI/CD pipelines to accelerate secure containerization of legacy applications and support mission-critical systems.
Role type
Entry-level AI Engineer (DevSecOps focus)
Builds
AI-enhanced CI/CD pipelines, secure container configurations, infrastructure-as-code templates, and production-ready software increments.
Domain
Cloud infrastructure, DevSecOps, and AI-assisted software development.
Deliverable
production ML models | product features | infrastructure
Required skills
Data structures, algorithms, web/backend fundamentals, AI coding assistants, unit and integration testing, cloud services, databases, CI/CD.
Preferred skills
AI-assisted development (testing/refactoring), security and privacy handling, microservices architecture.
Technologies
AWS, GCP, Docker, Java, NodeJS, Python, Spring Boot, React, SQL, gRPC, Copilot, Cursor, Windsurf.
Responsibilities
Build AI-enhanced CI/CD pipelines that generate security policies and infrastructure templates; Use AI coding assistants for implementation, refactoring, and documentation; Create unit and integration tests to expand coverage; Accelerate pull request reviews with AI-generated summaries; Troubleshoot issues using AI tools; Collaborate with product, design, security, and compliance teams.
Seniority
Entry-level, hands-on IC
