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2 часа назад

Tech Lead (AI)

160 000 - 290 000$
Тип работы
fulltime
Грейд
lead
Английский
c1
Страна
UK/US/Armenia +2 еще
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

Tech Lead (AI): Building and optimizing a modular, multi-AI agent architecture for automated data validation and verification with an accent on LLM integration, system scalability, and production-grade AI pipelines. Focus on translating complex business requirements into technical designs, leading high-performing engineering teams, and ensuring AI capabilities deliver reliable real-world outcomes.

Location: hirify.global has offices in the United States, United Kingdom, Armenia, Canada, and Portugal.

Salary: $160,000 - $290,000

Company

hirify.global provides an AI-powered platform that automates the validation and verification of high-volume, rules-based transactions for finance and operations leaders.

What you will do

  • Partner with Product and stakeholders to translate ambiguous requirements into clear technical plans and system designs.
  • Design and evolve scalable system architecture across the full stack, including frontend, backend, and infrastructure.
  • Build and integrate AI-powered capabilities into production systems, tuning model behavior and optimizing inference pipelines.
  • Lead and develop engineers through coaching, feedback, and servant leadership to remove blockers and set standards.
  • Drive best practices across CI/CD, testing, observability, and release processes.

Requirements

  • 7+ years of professional software engineering experience with strong production ownership.
  • Proven track record as a Tech Lead or senior engineer driving both systems and teams.
  • Full-stack capability with depth in Python and backend systems.
  • Practical experience with AI/LLM-powered systems in production.
  • Strong product instinct and ability to connect technical decisions to customer value.
  • Excellent communication skills across technical and non-technical audiences.

Nice to have

  • Experience with architectural patterns such as DDD, CQRS, or event-driven design.
  • Background in data-intensive or enterprise-scale systems.
  • Familiarity with systems-level languages (Go, Rust) or modern frontend frameworks (React).

Culture & Benefits

  • Culture of ownership, accountability, and continuous improvement.
  • Focus on servant leadership and professional growth through mentorship.
  • Opportunity to work in a fast-paced, ambiguous environment with high business impact.
  • Balance of speed, quality, and long-term architectural thinking.

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