GenAI Code Analysis Developer (AI)

TL;DR

GenAI Code Analysis Developer (AI/Python): Building next-generation code analysis and remediation algorithms combining GenAI with static analysis with an accent on integrating LLMs into detection workflows and enhancing infrastructure. Focus on solving complex software analysis problems including call graphs, control/data, and taint flow analysis.

Location: Hybrid (3 days in the office, 2 days from home)

Company

hirify.global is an AI Native AppSec Platform that helps global enterprises secure software from open source, custom code, and AI-generated components.

What you will do

• Research and develop next-gen code analysis and remediation algorithms.
• Integrate GenAI models into detection workflows and build GenAI-powered developer tools for static and semantic analysis.
• Tackle complex software analysis problems such as call graphs, control/data, and taint flow analysis.
• Design and implement machine learning and algorithmic solutions for code analysis.
• Collaborate with Product Managers and other engineers to prototype and productize innovations.
• Enhance detection infrastructure with intelligent, context-aware insights.

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.
• Familiarity with Java, C++, or JavaScript codebases.
• Hands-on experience with LLMs/GenAI, including prompt engineering, inference optimization, and model evaluation.
• Experience designing LLM-driven pipelines (agentic or tool-augmented) with structured outputs and multi-step reasoning.
• Excellent communication and collaboration skills – Must

Nice to have

• Familiarity with ML for code, AST-level representations, and static/dynamic analysis tools.
• Experience with web application security, vulnerability detection, or remediation.
• Proficiency in JavaScript, C#, Go, or PHP.
• Familiarity with cloud-native environments (AWS, Azure) and CI/CD workflows.