Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Зарплата и рынок
$106к-180к/год
$140к$170кмедиана$200к
По похожим ролям (48) ~ $170к/год
На СНГ рынке: $3.6к/мес ($2.6к - $4.2к)
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Здесь можно заниматься внедрением агентного ИИ в крупной технологической компании, обязанности и набор льгот описаны достаточно ясно; обязательная работа в офисе и широкий диапазон оплаты могут повлиять на привлекательность предложения.
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Работа в офисеАгентный ИИКрупная компанияСовременный ИИ-стекШирокий пакет льгот
Оценка от Hirify AI
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Описание вакансии
Текст:
Hirify AI/Оригинал
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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