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Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Крутая вакансия
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Чётко описанная стажировка даёт опыт работы с production-системами и прикладным агентным ИИ на современном стеке, а также явные возможности учиться; главный нюанс - высокий порог входа для стажёра.
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Высокие требованияСовременный стекИИ в реальных задачахНаставничество и рост
Оценка от Hirify AI
Мэтч & Сопровод
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Software Engineering Intern (AI) (Java/React/Agentic AI): Building modular full-stack applications and AI agents for vehicle title transfer and ownership workflows with an accent on Java, Spring Boot, React, Python, and scalable domain-aligned architecture. Focus on designing RESTful APIs, developing agentic automation, reviewing AI-generated code, and solving operational problems in a high-volume automotive platform.
Location: Dallas, TX — Hybrid
Company
hirify.global operates a global online vehicle auction platform connecting sellers and buyers across more than 190 countries and processes millions of vehicles annually.
What you will do
Help design and implement modular, domain-aligned applications for vehicle title transfer and ownership processes.
Build and maintain full-stack features using Java, Spring Boot, React, JavaScript/TypeScript, and related tools.
Design RESTful APIs and integration patterns, responsive interfaces, robust backend services, and automated tests.
Prototype AI agents and identify automation opportunities for title transfer and operational workflows using Python, Google's Agent Development Kit, and GCP.
Use AI coding agents while reviewing, testing, and taking ownership of generated code.
Collaborate with product managers, domain experts, UX/UI designers, QA engineers, DevOps, and business stakeholders through planning, reviews, and agile ceremonies.
Requirements
Bachelor's or Master's degree in Computer Science, completed or in progress; Master's preferred.
Hands-on experience building agentic AI applications through personal, academic, or professional projects, such as agents that plan, call tools or APIs, or run multi-step workflows.
Regular use of AI coding agents with the judgment to review, test, and own their output.
Strong programming fundamentals in at least one backend language such as Java, Python, Go, C#, or similar.
Exposure to modern frontend frameworks such as React, Vue, Angular, or similar.
Understanding of SOLID, DRY, KISS, common design patterns, RESTful API design, relational databases, and data modeling.
Experience with Git and exposure to CI/CD practices.
Passion for learning, strong problem-solving and analytical abilities, and excellent communication and collaboration skills.
Nice to have
Experience with Java, Spring Boot, the Spring ecosystem, and React applications.
Experience building agents in Python and exposure to Google's Agent Development Kit, GCP, or another major cloud platform.
Familiarity with tool calling, retrieval, multi-agent orchestration, and evaluating agent behavior.
Interest in modular monolith architecture, Modulith, Domain-Driven Design, and monolith-versus-microservices decisions.
Experience with Docker, containerization, TDD, JUnit, Mockito, React Testing Library, Maven/Gradle, or CI/CD pipelines.
Background in automotive, logistics, or document processing; side projects, open-source contributions, hackathons, or technology communities.
Experience across multiple programming paradigms and exposure to on-premise data centers.
Culture & Benefits
Collaborative environment focused on code quality, automated testing, code reviews, and continuous refactoring.
Professional development, learning, experimentation, and exposure to emerging technologies.
Ownership from conception through production, with pragmatic technical decisions balancing design, business needs, and delivery timelines.
Opportunity to build greenfield production systems and AI agents addressing real vehicle title transfer problems at scale.
Medical benefits and an inclusive workplace.
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