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4 часа назад

AI Solutions Engineer

125 000 - 175 000$
Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
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 Solutions Engineer: Acting as a trusted technical advisor for customers, driving business value by demonstrating the hirify.global platform for ML and GenAI observability and evaluation. Focus on advising on GenAI/ML best practices, running strategic business reviews, and partnering with product/engineering to drive the product roadmap.

Location: This role requires the right candidate to be based in Raleigh, New York City, or San Francisco.

Salary: $125,000 – $175,000

Company

hirify.global is a Series C product company building a leading AI & Agent Engineering observability and evaluation platform for enterprises.

What you will do

  • Act as a trusted advisor to sophisticated ML / GenAI teams and build relationships with technical and business stakeholders.
  • Advise on GenAI and ML best practices.
  • Give ML and LLM product demos to technical and business stakeholders.
  • Run strategic business reviews for customers in partnership with the sales team.
  • Partner with product and engineering teams to drive the product roadmap.
  • Spearhead new opportunities within existing accounts to drive expansions.

Requirements

  • Previous experience as a Data Scientist, Machine Learning Engineer, or with ML/GenAI applications in production.
  • Comfortable with public Cloud environments (AWS, Azure, GCP) and proficient in a programming language (Python, JS/TS, Java, Go).
  • Strong knowledge of ML frameworks (TensorFlow, PyTorch, Scikit-learn) and LLM/Agentic frameworks (Llamaindex, LangGraph, DSPy).
  • Understanding of ML/DS concepts, model evaluation strategies, and application lifecycle.
  • Strong communication skills and a quick, self-learner mindset.
  • Must be based in Raleigh, New York City, or San Francisco.

Nice to have

  • Previous engineering experience in Data Science, MLOps, ML Frameworks, or LLM/Agentic frameworks.
  • Customer-facing experience such as Solutions Architect or Sales Engineer.
  • Prior experience with applications deployed with Kubernetes.

Culture & Benefits

  • Remote-first company with office options in NYC and SF Bay Area.
  • WFH monthly stipend for co-working spaces.
  • Comprehensive benefits package including medical, dental, vision, and a 401(k) plan.
  • Unlimited paid time off and generous parental leave plan.
  • Focus on advancing responsible AI and diversity & inclusion initiatives.

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