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3 дня назад

Senior Software Engineer, Backend (AI Acceleration)

186 065 - 218 900$
Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify RU Global, списка компаний с восточно-европейскими корнями
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Описание вакансии

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TL;DR

Senior Software Engineer (AI Acceleration): Building and optimizing high-load backend services for an AI platform with an accent on GenAI techniques, LLMs, and agentic AI. Focus on rapidly designing, building, and iterating on functional prototypes and evolving them into scalable, secure, production-grade AI solutions.

Location: Hybrid (US only, requires in-person participation for offsites)

Salary: $186,065–$218,900 USD (Base annual salary, includes bonus eligibility + equity eligibility + benefits)

Company

hirify.global is on a mission to increase economic freedom in the world by building the emerging onchain platform and aims to become an AI-Native company by 2028.

What you will do

  • Partner with teams to identify high-leverage opportunities for AI automation and translate business challenges into AI use cases.
  • Apply GenAI techniques, LLMs, and Agentic AI to design, build, and iterate on functional prototypes (e.g., AI agents, custom copilots).
  • Write high-quality, well-tested code in Python and Golang to support AI solutions.
  • Collaborate cross-functionally to evolve prototypes into scalable, secure, production-grade AI solutions.
  • Ensure AI solutions adhere to strict security, privacy, and ethical guidelines.
  • Continuously research and experiment with emerging AI models, tools, and industry best practices.

Requirements

  • 5+ years of experience in software engineering, with at least 6 months focused on applied AI, Generative AI, or intelligent automation.
  • Proven expertise in designing, building, scaling, and maintaining production services with microservices architecture.
  • Strong technical skills in system design, coding, and debugging complex technical issues.
  • Understanding of LLM capabilities, limitations, and architectures (e.g., RAG, agents, fine-tuning concepts).
  • Hands-on experience with AI tools and platforms (e.g., enterprise LLMs like Gemini/Claude, LangChain/LangGraph, Python).
  • Strong understanding of data privacy, security, and ethical considerations related to AI.

Nice to have

  • Prior experience building or implementing AI agents or advanced workflow automation solutions.
  • Prior experience building production ML/AI systems.
  • Prior crypto or fintech domain experience.

Culture & Benefits

  • Intense work culture focused on mission and high caliber colleagues.
  • Hybrid work model with required in-person participation for team and company-wide offsites multiple times annually.
  • Medical, Dental, and Vision Plan with generous employee contributions.
  • 401(k) plan with company match and Health Savings Account.
  • Wellness, Mobile/Internet, Connections Stipends, Volunteer Time Off.
  • Option of getting paid in digital currency.

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