Agentic Code Analysis Engineer

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 App Sec 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 are looking for a highly motivated Agentic code analysis engineer to join us on this mission.

You are invited to meet the Mend R&D team here!

• 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

• 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

• MSc in Computer Science (or related field) from a top-tier institution – Big Advantage
• 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

• 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)

, 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.