Agentic Code Analysis Engineer (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
Agentic Code Analysis Engineer (AI): Researching and developing next-generation code analysis and remediation algorithms using GenAI and static analysis with an accent on LLM-driven agentic pipelines. Focus on integrating LLMs into detection workflows, solving complex software analysis problems like taint flow, and productizing AI-powered security tools.
Location: Remote (Poland)
Company
is creating the first AI Native AppSec Platform to help global enterprises secure software from open source and custom code to 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 LLM-driven pipelines (agentic or tool-augmented).
- Tackle complex software analysis problems such as call graphs and control/data/taint flow analysis.
- Design and implement machine learning and algorithmic solutions for context-aware static and semantic code analysis.
- Collaborate with Product Managers and engineers to prototype and productize innovations.
Requirements
- 3+ years of software engineering experience with strong proficiency in Python.
- Hands-on experience with LLMs, GenAI systems, prompt engineering, and model evaluation.
- Experience designing LLM-driven pipelines with structured outputs (JSON schemas) and multi-step reasoning flows.
- Familiarity with Java, C++, or JavaScript codebases.
- Excellent communication and collaboration skills.
- Must be based in Poland.
Nice to have
- MSc in Computer Science from a top-tier institution.
- Knowledge of ML for code, AST-level representations, and static/dynamic analysis tools.
- Experience in web application security and vulnerability detection.
- Proficiency in JavaScript, C#, Go, or PHP.
- Familiarity with cloud-native environments (AWS, Azure) and CI/CD workflows.
Culture & Benefits
- Collaborative, empowering workplace built on respect, trust, and growth.
- Environment where learning and flexibility empower employees to do their best work.
- Opportunity to work at the forefront of AI-powered application security.
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