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Forward Deployed Engineer (AI)

102 000 - 115 000$
Формат работы
onsite
Тип работы
fulltime
Грейд
junior/middle
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR

Forward Deployed Engineer (AI): Partnering with cross-functional business teams to design, build, and deploy AI-powered applications with an accent on automation, LLM integration, and RAG implementation. Focus on rapidly prototyping solutions, building reusable AI components, and driving enterprise-wide AI adoption to improve operational productivity.

Location: Must be based in Fremont, California, USA

Salary: $102,000–$115,000

Company

hirify.global is a clean energy technology company providing integrated structural, electrical, and digital solutions for utility-scale solar power plants.

What you will do

  • Partner with business stakeholders to identify and automate workflows using AI.
  • Design, develop, and deploy AI-powered applications, assistants, and agents.
  • Build proof-of-concepts and MVPs to validate business value.
  • Integrate AI solutions with enterprise platforms like Microsoft 365, Salesforce, and Oracle.
  • Develop reusable components and frameworks to scale AI adoption across the organization.
  • Evaluate AI applications for accuracy, reliability, and business effectiveness.

Requirements

  • Bachelor's or Master’s degree in Computer Science, Software Engineering, or related field.
  • 0–3 years of professional software engineering or application development experience.
  • Experience building applications utilizing LLMs, AI APIs, or generative AI technologies.
  • Strong analytical and problem-solving skills with the ability to manage complexity.
  • Excellent communication and interpersonal skills for cross-functional collaboration.
  • Ability to work independently in a fast-paced environment.

Nice to have

  • Experience with enterprise AI platforms like Azure OpenAI or Anthropic Claude.
  • Familiarity with agent frameworks such as LangGraph or CrewAI.
  • Knowledge of RAG, vector databases, and Model Context Protocol (MCP).
  • Experience with cloud platforms (Azure, AWS, GCP) and containerization (Docker, Kubernetes).

Culture & Benefits

  • Comprehensive health care coverage including dental and vision.
  • 401(k) participation with company matching.
  • Unlimited paid time off and company-paid holidays.
  • Generous discretionary bonuses and potential stock compensation.
  • Life and disability protection.

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