Why Mend.io
We are redefining how modern organizations secure software from open source and custom code to AI-generated components. As the creators of the first AI Native AppSec Platform, we help global enterprises stay safe, fast, and compliant in an era of AI-driven development. Our platform combines intelligent automation, deep risk visibility, and developer-first experiences, shaping the future of application security.
We are also committed to building a collaborative, empowering workplace. If you are excited about this role but do not meet every requirement, we encourage you to apply. Your perspective could be exactly what we need!
We are building a new team focused on redefining the future of code analysis infrastructure, combining advanced GenAI techniques with deep static code analysis. We're looking for a highly motivated Algorithms Software Engineer to join us on this mission.
We're working in a hybrid model: 3 days in the office, 2 days from home.
You are invited to meet the Mend R&D team here!
In this role, you will:
Research and develop next-gen code analysis and remediation algorithms
Work hands-on with GenAI models and integrate them into detection workflows
Tackle complex software analysis problems (e.g., call graphs, control/data/taint flow analysis)
Collaborate closely with Product Managers, Algorithm software engineers and application software engineers to prototype, validate, and productize your innovations
Responsibilities:
Design and implement machine learning and algorithmic solutions for code analysis
Build GenAI-powered developer tools for static and semantic code analysis
Enhance our existing detection infrastructure with intelligent, context-aware insights
Translate cutting-edge research into practical, scalable product features
Requirements:
MSc in Computer Science (or related field) from a top-tier institution – Must
3+ years of software engineering experience, with strong proficiency in Python (primary) and familiarity with Java / C++ / JavaScript codebases.
Hands-on experience with LLMs / GenAI systems, including prompt engineering, inference optimization, and model evaluation.
Experience designing LLM-driven pipelines (agentic or tool-augmented), including:
Structured outputs (JSON schemas), Multi-step reasoning/verification flows
Excellent communication and collaboration skills – Must
Advantage:
Familiarity with ML for code, static/dynamic analysis tools, and AST-level representations
Experience with web application security, vulnerability detection, or remediation
Proficiency in one or more of: JavaScript, C#, Python, Go, PHP
Familiarity with cloud-native environments and CI/CD workflows (AWS, Azure)
Our Culture
At Mend.io, we are leading the way in securing AI-powered applications, and we believe the best innovations come from teams where everyone feels valued. We are committed to a workplace built on respect, trust, and growth, where learning and flexibility empower people to do their best work.
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