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8 часов назад

Product Solutions Engineer (AI)

125 000 - 140 000$
Формат работы
hybrid
Тип работы
fulltime
Грейд
middle
Английский
b2
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
Product Solutions Engineer (AI): Translating customer requests into impactful product features and supporting state customers through technical requirements, testing, troubleshooting, and training with an accent on AI utilization, automation, and user-centered design. Focus on evaluating LLM solutions, validating data, designing RAG architectures, managing cross-functional risks, and connecting technical feasibility with customer needs.

Location: Remote, with frequent travel requirements and flexibility to commute to the office as needed.

Salary: $125,000–$140,000 per year, plus equity.

Company

hirify.global is a startup modernizing a legacy industry through software, AI technology, and automation for state customers.

What you will do

  • Translate customer requests into product requirements and impactful features with product managers and engineers.
  • Capture, document, prioritize, and communicate client requirements, technical specifications, risks, and dependencies.
  • Develop and execute test strategies to verify feature quality and performance.
  • Provide technical support, troubleshooting, and client training for hirify.global software tools.
  • Collaborate with engineering, product, and operations teams to improve workflows and AI utilization.
  • Identify product enhancement opportunities and contribute to development process and tooling improvements.

Requirements

  • Bachelor’s degree in computer science, engineering, or a similar technical field.
  • 2–3 years of experience in an engineering role, including customer-facing work.
  • Experience with Agile methodologies, cross-functional collaboration, and independent prioritization.
  • Ability to write clean, maintainable code in a relevant language such as Python or React, with basic knowledge of HTML5, CSS3, and web APIs.
  • Experience with AI model monitoring, data validation, automation tooling, AWS Bedrock, Python, SQL, CI/CD, Docker, and AWS.
  • Knowledge of LLM evaluation, RAG architectures, LLM MCP servers, prompt engineering, and function calls.

Nice to have

  • Experience with MLflow and Airflow.
  • Experience with LangChain or PydanticAI.

Culture & Benefits

  • Majority remote work with flexibility to commute to the office and frequent travel.
  • Competitive benefits for employees and dependents.
  • Meaningful equity upside and opportunities to learn and grow in a startup environment.
  • Optional, encouraged company retreats held once or twice per year.
  • Opportunity to influence the benefits program and product roadmap.

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