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
#LI-Onsite
OPSWAT is an equal opportunity employer. We celebrate diversity and are committed to providing an environment where equal employment opportunities are extended to all employees and applicants, free of discrimination and harassment of any type. All employment decisions are based on individual qualifications, job requirements, and business needs without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other category protected by federal, state, or local laws.
Recruiting Agencies: we do not accept unsolicited resumes from third party agencies for any of our open positions. To submit resumes for our jobs, there must be a recruiting contract approved by our legal team and endorsed by both parties. We are currently not accepting additional 3rd party agencies at this time.
