Software Engineer II | AI & Agentic Systems
Jamf
- Location
- Poland
- Workplace
- Remote
- Employment
- Full Time
- Salary
- —
Posted 27d ago
The employer’s full description could not be read from their board. This is a summary of the posting — follow the apply link for the original.
Responsibilities
- Build the production systems where AI agents do real work on real code – authoring changes that run inside deterministic gates, with independent verification and a full audit trail behind every one
- Take customer and platform problems, break them into workable pieces with your agile team, and own most of them end to end
- Draw the line on autonomy: design the trust boundaries, blast radius, and least-privilege model for the automation itself, which holds elevated access to production
- Build the evaluation and observability that keeps non-deterministic systems honest – measuring accuracy and catching silent degradation before anyone else does
- Make the systems answer the auditor's "show me" – producing evidence that a control worked, not just the claim that it did
- Work shoulder to shoulder with security engineering and PDD developers, and explain the tricky parts clearly to the rest of the organization
- Bring engineering best practices to the table: ask the sharp questions, solve the hard problems, and help others level up
Requirements
- 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 – tool calling, multi-step execution, structured output – well beyond using AI coding assistants
- Hands-on experience with AI-driven coding assistants (GitHub Copilot, Cursor, Claude Code) to speed up your own work
- Sound judgment about where automation should and shouldn't act on its own – and the ability to articulate exactly where that line sits
- You think in trust boundaries, blast radius, and least privilege by default
- You treat vulnerability management as a discipline: severity and exploitability, SLAs, and exception handling
- Experience in an agile organization and with build systems like Jenkins or Bamboo
- You build trust and rapport across all levels, and do your best work collaboratively in a fast-paced environment
Preferred
- Software supply chain security – SBOMs, provenance and attestation, image signing and verification, policy-as-code
- Experience running AI coding agents at repository scale, and building the harness that makes their output trustworthy
- Familiarity with AI governance in a security context – model-use policy, data handling, and the audit questions that follow an agent-initiated production change
- Experience in a regulated environment (SOC 2, FedRAMP, or similar) and a feel for what auditors actually ask for
Skills
- Java
- Python
- LLM APIs
- agentic frameworks
- GitHub Copilot
- Cursor
- Claude Code
- Jenkins
- Bamboo
- SBOMs
- policy-as-code
- SOC 2
- FedRAMP
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