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23 часа назад

AI/ML Software Engineer (Agentic AI)

105 900 - 180 000$
Формат работы
onsite
Тип работы
fulltime
Грейд
middle
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Текст:
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TL;DR
AI/ML Software Engineer (Agentic AI): Building and deploying production-grade agent-based AI systems that automate enterprise workflows and support decision-making with an accent on agent orchestration, model evaluation, and scalable AI/ML architecture. Focus on designing reliable agents, benchmarking model performance, running A/B experiments, and integrating security, compliance, observability, and operational efficiency.

Location: Ann Arbor, MI, United States; based at the Midwest HQ

Salary: $105,900–$180,000 annually

Company

hirify.global develops inspection tools, metrology systems, process solutions, and computational analytics for electronics manufacturing.

What you will do

  • Build and deploy autonomous and semi-autonomous agent-based AI systems that can reason, plan, use tools, and collaborate.
  • Design and implement scalable, reliable AI/ML systems for evolving workloads.
  • Support model-performance benchmarking across deployment environments.
  • Run experiments such as A/B tests and workflow refinements to improve agent performance.
  • Ensure solutions meet enterprise standards for security, compliance, observability, and operational efficiency.
  • Collaborate with senior engineers, product partners, and cross-functional stakeholders to deliver business outcomes.

Requirements

  • Bachelor’s degree in Computer Science, Data Science, AI, or a related field. A master’s degree and/or PhD is preferred.
  • 3–5 years of AI/ML experience with a proven record of deploying production solutions.
  • Proficiency in Python or similar languages, experience with libraries such as TensorFlow and Scikit-learn, and essential experience with RAG.
  • Strong knowledge of statistics, machine learning algorithms, deep learning, neural networks, and system architecture.
  • Strong understanding of cloud platforms, DevOps practices, and data processing technologies.
  • Ability to lead technical projects and work effectively in matrix environments.
  • Ability to communicate technical concepts to non-technical team members and business partners.
  • Familiarity with software engineering best practices, including Git, CI/CD pipelines, agile methodologies, and system design patterns.

Nice to have

  • Experience with enterprise AI/ML platforms or managed AI services.
  • Exposure to model evaluation, monitoring, or production performance tuning.
  • Familiarity with MLOps practices and modern deployment workflows.

Culture & Benefits

  • Work in a collaborative environment with senior engineers, product partners, and cross-functional teams.
  • Medical, dental, vision, life, and other voluntary benefits.
  • 401(k) with company matching and employee stock purchase program.
  • Student debt assistance, tuition reimbursement, development and career growth programs, and financial planning benefits.
  • Wellness benefits, paid time off, paid company holidays, and family care and bonding leave.

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