Software Engineer II – AI & Agentic Systems

Jamf

Software Engineer II building secure, auditable AI agent systems for Jamf, which manages and secures Apple devices in workplaces and schools. Designing autonomy controls, evaluation, and observability for production automation.

Posted 8/14/2026full-time🇵🇱 PolandMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in building enterprise-grade software with a focus on AI-driven coding solutions, ensuring robust testing, quality assurance, and adherence to security protocols. Capable of collaborating effectively across teams while applying engineering best practices to solve complex problems.

Highest-signal resume keywords

Java DevelopmentPython DevelopmentAI-Driven Coding AssistantsAgile MethodologiesVulnerability Management

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Enterprise-Grade Software DevelopmentTesting and QALLM APIsAgentic FrameworksAutomation AutonomyTrust BoundariesBlast RadiusLeast Privilege ModelsObservability SystemsAuditable Evidence Production

Soft Skills

CollaborationCommunicationProblem SolvingBuilding TrustRapport Building

Tools & Technologies

GitHub CopilotCursorClaude CodeJenkinsBamboo

Certifications & Qualifications

SOC 2FedRAMP

Industry Keywords

Software Supply Chain SecuritySBOMsProvenance and AttestationImage Signing and VerificationPolicy-as-Code

Tech Stack

Tools & technologies

JavaJenkinsPython

About the role

Key responsibilities & impact

Build production systems where AI agents author changes to real code within deterministic gates, with independent verification and a full audit trail
Break customer and platform problems into workable pieces with the agile team and own most of them end to end
Design trust boundaries, blast radius, and least-privilege models for automation with elevated production access
Build evaluation and observability systems to measure accuracy and detect silent degradation
Produce auditable evidence that controls worked
Collaborate with security engineering and PDD developers
Explain complex technical topics across the organization
Apply engineering best practices, solve difficult problems, and help others improve

Requirements

What you’ll need

3+ years building enterprise-grade software commercially, with a solid grasp of testing and QA
3+ years of commercial experience in Java or Python
Hands-on experience building with LLM APIs and agentic frameworks, including tool calling, multi-step execution, and structured output
Hands-on experience with AI-driven coding assistants such as GitHub Copilot, Cursor, and Claude Code
Sound judgment about appropriate automation autonomy and ability to articulate boundaries
Knowledge of trust boundaries, blast radius, and least privilege
Vulnerability management knowledge, including severity, exploitability, SLAs, and exception handling
Experience in an agile organization and with build systems such as Jenkins or Bamboo
Ability to build trust and rapport across levels and work collaboratively in a fast-paced environment
Nice-to-have: software supply chain security, including SBOMs, provenance and attestation, image signing and verification, and policy-as-code
Nice-to-have: experience running AI coding agents at repository scale and building trustworthy evaluation harnesses
Nice-to-have: familiarity with AI governance in a security context, including model-use policy, data handling, and audit questions
Nice-to-have: experience in a regulated environment such as SOC 2 or FedRAMP

Benefits

Comp & perks

30 days of paid time off
3 paid days to volunteer
Multisport Card
Luxmed packages
Flexible work style and ability to manage your own day and work style
Opportunity to work with a small and empowered team
Inclusive and supportive work environment
Support and resources for personal and professional growth