Senior AI Agent Engineer — Security Automation

Oplane; Malmö kommun; On-site; SEK 900,000 - 1,200,000; Full time

Job summary

Oplane is an always-on security expert for AI-first engineering teams. Our biggest focus today is PR Analysis: every pull request reviewed against the customers' architectural threat model before it merges, with findings and code-level fixes attached rather than a report handed over. Scanners find patterns.

Oplane understands the system. That understanding is agentic. The agents that read a codebase, interpret a design change, and work out what it means for security are the product, not a layer

Qualifications

• 5+ years in applied AI, software or AppSec R&D.
• Hands-on experience with agentic development.
• Experience with structured testing and evaluation of AI agents in real-world scenarios, where the correct output is not a fixed value.
• A fast-moving, independent mindset; thrives on rapid prototyping and open-ended problems.

Responsibilities

• Design, prototype and productize security agents, agentic components and workflows that perform code analysis on real-world software systems, interpret design changes and their security implications, and automate security tasks in both small companies and large enterprises.
• Prototype fast, then make it hold; decide which prototypes deserve to become robust product features.
• Improve reliability, cost and accuracy in a structured way with defined evaluation so the agents show measurable improvements.
• Advance internal AI tooling and workflows that the team builds with.
• Shape the roadmap by working with product, engineering and security experts on what to build next.

Skills

Applied AI

Software security

Agentic development

Rapid prototyping

Structured testing

Tools

AI tooling

Cloud infrastructure

Job description

Oplane is an always-on security expert for AI-first engineering teams. Our biggest focus today is PR Analysis: every pull request reviewed against the customers' architectural threat model before it merges, with findings and code-level fixes attached rather than a report handed over. Scanners find patterns.

Oplane understands the system. That understanding is agentic. The agents that read a codebase, interpret a design change, and work out what it means for security are the product, not a layer