обновлено 6 дней назад
AI Engineering Intern (LLM)
26 - 47$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
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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