Назад
Company hidden
3 дня назад

AI Software Engineer (Manufacturing)

94 100 - 160 000$
Формат работы
onsite
Тип работы
fulltime
Грейд
junior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
Для мэтча и отклика нужен Plus

Мэтч & Сопровод

Для мэтча с этой вакансией нужен Plus

Описание вакансии

Текст:
/
TL;DR
AI Software Engineer (Manufacturing) (AI/ML and Generative AI): Design and deploy AI-enabled applications, machine learning models, data pipelines, and inference services for semiconductor manufacturing with an accent on LLMs, RAG, AI agents, and enterprise system integration. Focus on building scalable production systems, transitioning proof-of-concepts into operational solutions, and monitoring model performance, reliability, security, and responsible AI compliance.

Location: Ann Arbor, Michigan, USA

Salary: $94,100–$160,000 annually

Company

hirify.global develops electronics and semiconductor manufacturing technologies, including systems and solutions for wafers, reticles, integrated circuits, packaging, printed circuit boards, and displays.

What you will do

  • Design and develop AI-enabled applications and services for manufacturing use cases.
  • Build, train, evaluate, and deploy machine learning and generative AI models.
  • Create data pipelines, model-training workflows, and inference services.
  • Integrate AI models with production applications, enterprise systems, and operational processes.
  • Conduct proof-of-concepts and transition successful prototypes into production systems.
  • Participate in code reviews, testing, DevOps, software releases, and model monitoring.

Requirements

  • Master’s degree with no related experience, or bachelor’s degree with at least 2 years of related work experience.
  • Experience with large language models and Retrieval-Augmented Generation.
  • Experience building AI agents and agentic workflows.
  • Experience integrating AI solutions with SAP, Snowflake, or manufacturing platforms.
  • Familiarity with Azure AI, OpenAI, AWS, or other cloud AI services.
  • Knowledge of data engineering, analytics, and MLOps practices.

Culture & Benefits

  • Collaboration with physicists, engineers, data scientists, product managers, and domain experts.
  • Medical, dental, vision, life, and other voluntary benefits.
  • 401(k) with company matching and employee stock purchase program.
  • Paid time off, paid holidays, family care and bonding leave, and wellness benefits.
  • Tuition reimbursement, student debt assistance, financial planning, and career development programs.

Hiring process

  • Multiple interviews with hiring managers, conducted in person or by video conference.

Будьте осторожны: если работодатель просит войти в их систему, используя iCloud/Google, прислать код/пароль, запустить код/ПО, не делайте этого - это мошенники. Обязательно жмите "Пожаловаться" или пишите в поддержку. Подробнее в гайде →