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1 день назад

Artificial Intelligence Intern (AI)

Формат работы
onsite
Тип работы
fulltime
Грейд
trainee
Английский
b2
Страна
Singapore
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
Artificial Intelligence Intern (AI): Developing LLM-based solutions, RAG pipelines, and agentic AI workflows for automotive requirements engineering with an accent on requirement validation, formal methods, and model checking. Focus on designing experiments, synthesizing formal models and code, and evaluating AI solutions for complex engineering tasks.

Location: Singapore, Singapore

Company

hirify.global is an independent automotive technology and electronics company developing sensor solutions, displays, braking and comfort systems, software architecture platforms, and assistance systems for software-defined vehicles.

What you will do

  • Analyze and structure technical requirements from automotive OEMs.
  • Develop LLM-based solutions for requirement understanding, classification, and validation.
  • Build and evaluate RAG pipelines for engineering documents and domain knowledge.
  • Explore agentic AI workflows for complex engineering tasks.
  • Apply model checking and formal verification to validate system requirements and designs.
  • Design experiments, evaluate results, document findings, and collaborate with AI researchers, software engineers, and domain experts.

Requirements

  • Currently studying Computer Science, Artificial Intelligence, Software Engineering, Mathematics, Electrical Engineering, or a related field.
  • Basic knowledge of machine learning, natural language processing, or LLMs.
  • Programming experience in Python.
  • Interest in one or more of the following: LLMs and prompt engineering, AI agents, RAG and vector databases, formal methods and model checking, model synthesis and code generation, or automotive requirements engineering.

Nice to have

  • Experience with LLM frameworks such as LangChain, LlamaIndex, or similar.
  • Familiarity with formal verification tools or languages such as NuSMV, SPIN, UPPAAL, TLA+, or temporal logic.
  • Experience with embeddings, knowledge graphs, or document-processing pipelines.
  • Familiarity with Git, Docker, and software development practices.

Culture & Benefits

  • Opportunity to contribute to future mobility and software-defined vehicle technologies.
  • Collaboration with AI researchers, software engineers, and automotive domain experts.

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