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обновлено 18 дней назад

Software Engineer (Agentic Code Review, Gitar)

Формат работы
onsite/hybrid
Тип работы
fulltime
Грейд
junior
Английский
b2
Страна
US/Switzerland
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Software Engineer (Agentic Code Review, Gitar) (AI/program analysis): Building an AI-native code validation platform that analyzes code, reviews pull requests, generates fixes, and validates them against CI with an accent on static and dynamic analysis, large language models, and developer workflow automation. Focus on designing code-reasoning systems, building context retrieval and embedding infrastructure, and optimizing correctness, latency, cost, observability, and security at scale.

Location: On-site in San Mateo, California, or Geneva, Switzerland. Candidates must be based in the posted location; relocation support is available for the right person. Three anchor office days are Monday, Tuesday, and Thursday.

Company

hirify.global develops AI code verification and governance products that help organizations build reliable, secure, maintainable, and compliant software.

What you will do

  • Design and build program analysis systems that reason about code intent, control flow, data flow, and behavior across multiple languages and large repositories.
  • Combine static analysis, dynamic analysis, and large language models to detect functional bugs, logic errors, and behavioral issues.
  • Build AI agents and orchestration layers for pull request review, fix generation, CI validation, failure root-cause analysis, and automated merging.
  • Develop indexing, retrieval, and embedding systems that provide models with relevant codebase, dependency, convention, and intent context.
  • Own production characteristics including correctness, accuracy, latency, cost, observability, and security in a zero-trust environment.
  • Collaborate with the hirify.globalQube team and customers to integrate deterministic analysis with AI-native validation and address real engineering workflows.

Requirements

  • PhD or MS in Computer Science, or equivalent experience.
  • 2–4 years of professional software engineering experience.
  • Strong fundamentals in data structures, algorithms, correctness, and performance.
  • Practical experience with AI and LLM-driven development.
  • Exposure to or strong interest in static analysis, dynamic analysis, type systems, intermediate representations, control-flow analysis, data-flow analysis, or symbolic execution.
  • Strong written and verbal communication skills, including the ability to work directly with engineering customers and make trade-offs across correctness, latency, cost, and developer experience.

Nice to have

  • Experience building compilers, build systems, IDE tooling, linters, refactoring tools, test infrastructure, or large-scale code transformation systems.
  • Experience in industry research labs, large-scale developer infrastructure teams, or open-source compiler, analyzer, or developer-tool projects.

Culture & Benefits

  • In-office collaboration centered around Monday, Tuesday, and Thursday anchor days.
  • Work with a global organization operating across hubs in Austin, Bochum, Dubai, Geneva, London, Singapore, Tokyo, and Washington, D.C.
  • Inclusive and equal-opportunity work environment.
  • Employment is contingent on a comprehensive background check and reference verification.

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