Impact : You will own significant responsibility and have total ownership over your work. We stay lean and efficient, so your work directly impacts the product we ship every day.
Simplicity : Complexity is a waste of time here—we take pride in building things that just work.
Hard Work : Forget the glamorous research papers. We prioritize the hard work it takes to achieve real-world clarity and accuracy. You will innovate relentlessly to push the boundaries of what’s possible in visual automation.
Humility : No task is beneath you. Whether it's high-level architecture or grunt work to fix a bug, we check our egos at the door and get real work done.
Ruthless Prioritization : If everything is on fire, nothing is. You will be expected to prioritize ruthlessly, cutting through distractions to focus on the most impactful product improvements.
Customer Innovation : We are customer-centric, not customer-pleasing. You won’t bend to every client demand; you will let innovation drive the product forward to solve the real problems our users face.
Efficiency : Meetings suck. We keep them short and only use them for alignment, giving you your time back to focus on real work.
Owning Developer Productivity: Identifying bottlenecks in the Mashgin engineering workflow and architecting LLM-powered solutions to eliminate them.
Interviewing engineers to understand their current process and accelerating them 10x.
Building Intelligent Tooling: Implementing 0-to-1 systems for automated code refactoring, test generation, and context-aware documentation.
Bridging Infrastructure and AI: Architecting and deploying LLM-powered services using both commercial APIs (like Claude) and open-source models.
Scaling Workflows: Rethinking and recreating existing internal CI/CD and build processes to integrate AI-driven bug detection and security vulnerability assessments.
Prototyping & Shipping: Building simple MVPs of developer tools and shipping them quickly to the team for immediate feedback and iteration.
6+ years relevant coding experience
B.S. or higher in Computer Science (or equivalent work experience)
Excellent knowledge of one or more of these languages: Python, Node.js , C++, Go, C#, Java
Comfortable learning new languages, libraries, and frameworks when the solution calls for it
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