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обновлено 6 дней назад

AI Engineering Intern (LLM)

26 - 47$
Тип работы
fulltime
Грейд
trainee
Английский
b2
Страна
US
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
AI Engineering Intern (LLM): Designing and implementing autonomous AI agents and fine-tuning LLMs for test and measurement applications with an accent on intelligent decision-making and structured output. Focus on building data evaluation pipelines and integrating AI agent workflows into engineering software platforms.

Location: Must be local to North Reading, MA; no relocation or visa sponsorship provided

Salary: $25.50–$47.00 per hour

Company

Global test and automation specialists powering next-generation technologies through sophisticated electronic test solutions.

What you will do

  • Design and implement autonomous AI agent systems for intelligent decision-making and adaptive reasoning.
  • Develop and fine-tune LLMs tailored for engineering domain applications.
  • Create synthetic data generation, preparation, and model evaluation pipelines.
  • Integrate AI agent workflows with instrumentation and software platforms.
  • Prototype and validate AI-enabled solutions in collaboration with software teams.
  • Document experiments and model behavior for reproducibility.

Requirements

  • Pursuing or obtained a bachelor's or master's degree in Computer Science, Electrical Engineering, or a related field.
  • Proficiency in Python and libraries such as NumPy, PyTorch, or TensorFlow.
  • Demonstrated ability to build end-to-end AI or software systems.
  • Must be local to North Reading, MA
  • Not eligible for visa sponsorship

Nice to have

  • Experience with agent-based systems and structured decision logic.
  • Familiarity with AI orchestration frameworks like LangChain or AutoGen.
  • Exposure to hardware instrumentation or test and measurement concepts.

Culture & Benefits

  • Practical work experience in a fast-paced business environment.
  • Inclusive culture that respects individual strengths and diversity of thought.
  • Opportunity to innovate and learn new technologies daily.
  • Collaborative environment focusing on customer success.

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