Senior Software Developer

Description
is seeking an innovative and experienced Senior Software Developer to join our
Mend AI team
. This team is pioneering a new wave of application security solutions focused on identifying risks in AI-powered software. If you're passionate about software security, skilled in backend engineering, and intrigued by the intersection of
AI/LLMs and security
, we want you on our team.

The
Mend AI
product scans application source code to detect embedded AI/ML models, libraries and framework, understand their behavior, and surface potential security risks; from data leakage to prompt injection vulnerabilities. This is a high-impact role that blends backend engineering with cutting-edge AI applications, helping organizations secure the next generation of software.

You're invited to meet the Mend R&D team here

• Work in a hybrid model: Two days from the office, three days from home**

Responsibilities

• Design and implement backend systems that scan source code, identify AI/ML components, and evaluate associated security risks.
• Build intelligent detection logic to recognize large language models (LLMs), machine learning models, and custom pipelines in codebases.
• Collaborate with security researchers, data scientists, and product managers to integrate AI risk models into our core platform.
• Develop scalable and maintainable services in Java and Go.
• Translate research prototypes into production-grade features, with attention to performance, resilience, and accuracy.
• Conduct code reviews, maintain high development standards, and mentor team members.

Requirements
Requirements

• 5+ years of professional experience in backend software development.
• Deep knowledge and hands-on experience with Java, Python or Go -Must.
• Strong understanding of cloud-native architectures (AWS/GCP/Azure), distributed systems, and DevOps best practices.
• Experience developing security products or tools, or a strong interest and understanding of application security.
• Understanding of modern AI/LLM use cases in software (e.g., embedding models in services, integrating model APIs, etc.).
• Hands-on with AI coding assistants such as CodeRabbit, Cursor, Copilot, or similar.
• Knowledge of secure software development practices, including threat modeling and vulnerability mitigation.

Nice to Have

• Experience working with or analyzing LLMs (e.g., GPT, LLaMA, Claude) in real-world applications.
• Familiarity with AI security challenges like prompt injection, model leakage, and adversarial examples.
• Familiarity with machine learning workflows, especially how models are trained, stored, and deployed in real-world applications.
• Experience using tools such as LangChain, Hugging Face, OpenAI SDKs, or other AI ecosystems.
• Previous work in the application/cloud security or DevSecOps domain.

Why
is 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 an inclusive, empowering workplace. If you're excited about this role but don't meet every requirement, we encourage you to apply. Your perspective could be exactly what we need.

Our Culture
At , we are building more than the future of application security - we are building a culture where diverse perspectives drive innovation. As we lead the way in securing AI powered applications, we believe the best solutions come from teams where everyone feels seen, heard, and empowered to thrive.

We are committed to a workplace rooted in respect, trust, and growth. That means supporting your development through mentorship, learning, and meaningful challenges, while also valuing flexibility and balance.