Senior Software Developer

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

• 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.

• 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.

• 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.

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