AI-Native Software Engineer - MD Core

OPSWAT, a global leader in IT, OT, and ICS critical infrastructure cybersecurity, delivers an end-to-end platform that gives public and private sector organizations and enterprises the critical advantage needed to protect their complex networks, secure their devices, and ensure compliance. Over the last 20 years our commitment to innovative technology has earned the trust of more than 1,700 organizations, governments, and institutions globally, solidifying our role in protecting the world’s critical infrastructure and securing our way of life.

The Position

MetaDefender Core is OPSWAT’s file security platform, trusted where the stakes are highest: nuclear plants, defense networks, the banks that move the world’s money. It’s a high-performance engine, shipped everywhere from cloud and containers to on-premises and air-gapped deployments.

This role is for the engineer who would rather design the system than type every line of it: you set the architecture, a fleet of AI agents builds with you — code, tests, docs, in parallel — and you hold the one job that cannot be delegated: knowing what correct looks like, and proving it. Most companies are still debating whether their engineers may use AI. Here, it is the operating model.

What You Will be Doing

• Contribute to features end to end: clarify requirements, participate in design discussions, implement, test, debug, and help ship features, with ownership growing as you develop.
• Use AI as part of your daily engineering workflow: work with tools such as Claude Code and GitHub Copilot to accelerate implementation, testing, debugging, and documentation, while reviewing and validating AI-generated output before it ships.
• Contribute to the team’s AI-assisted development workflow: help improve agent configurations, prompt/context templates (e.g., CLAUDE.md and project rules), MCP integrations, and guardrails.
• Write and improve tests and quality checks that verify intended behavior, catch regressions, and help make AI-generated code production-ready.
• Build and share effective AI-assisted engineering practices with the team, including reusable prompts, workflows, and approaches for reviewing AI-generated code.
• Develop strong debugging skills by investigating issues that cannot easily be delegated to AI, from reproducing bugs and analyzing logs to diagnosing concurrency, OS, and environment-specific problems.
• Work across Windows and Linux environments, and gain exposure to cloud, containerized, on-premises, and air-gapped deployments.
• Prototype and evaluate AI-powered product capabilities, such as LLM-assisted analysis, automated triage, or AI-assisted support for new integrations.
• Collaborate with Product Management and QA to understand requirements, make technical trade-offs, and deliver reliable product features.

What We Need from You

• Bachelor’s degree in a technical field or equivalent practical experience
• 1+ years of professional experience with a track record of feature ownership.
• Good understanding of OOP, SOLID principles, and common design patterns
• Experience with multi-threaded programming and system design
• Excellent coding and debugging skills, including comfort navigating a large existing codebase and diagnosing issues across OS boundaries (processes, services, permissions)
• An AI-native development mindset: hands-on experience using AI coding assistants and agentic tools in real development work, with the judgment to review, verify, and test AI-generated code before it ships.
• Working knowledge of LLM fundamentals: prompt and context design, tool/function calling, evaluating outputs, and data-privacy considerations when using AI on proprietary code
• Hands-on experience in design reviews
• Strong verbal and written communication skills, with the ability to clearly articulate technical concepts.
• Good English is a plus point.
• Self-motivated, adaptable, and comfortable working in a fast-paced, team-oriented environment
• Development experience on Windows, Linux platforms

It Would be Nice if You Had

• A real track record shipping and maintaining production systems, in any tech-stack.
• Hands-on Rust or C++ - shortens your ramp, does not gate the door
• Building AI agents or agentic pipelines yourself: tool contracts, structured output, multi-step orchestration
• Performance profiling; networking (OSI)
• Cybersecurity concepts, or compon…