AI-Native Software Engineer

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 components of a security product 
• Hands-on experience with DBMS (e.g. SQLite, PostgreSQL) 
• Familiarity with Agile development methodologies