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3 часа назад

Software Engineer (LegalTech)

Формат работы
onsite
Тип работы
fulltime
Грейд
middle/senior
Английский
b2
Страна
Sweden
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR

Software Engineer (LegalTech): Building and owning internal backoffice systems and automation workflows to support customer enablement at scale with an accent on AI-driven tooling and API integrations. Focus on designing scalable operational platforms, leveraging LLMs to optimize support efficiency, and maintaining robust architecture within a high-stakes environment.

Location: Must be based in or able to work 5 days in-office in Stockholm, Sweden.

Company

hirify.global is an AI-native legal tech company building intelligent workspace solutions for global law firms to automate complex processes and enhance legal workflows.

What you will do

  • Develop and maintain internal backoffice systems, admin interfaces, and operational platforms.
  • Implement automation workflows to eliminate manual processes across customer support and operations.
  • Build AI-powered internal tools utilizing LLMs to improve triage and response quality.
  • Architect and manage integrations between core products and third-party systems like CRM and billing.
  • Create scalable services and APIs ensuring system security and observability.
  • Partner with cross-functional teams to identify and solve operational bottlenecks.

Requirements

  • Proven experience in fullstack development with strong backend fundamentals.
  • Proficiency with APIs, data pipelines, and cloud infrastructure such as AWS or Azure.
  • Experience with containerization tools like Kubernetes.
  • Practical experience in building production-grade AI or LLM-based workflows.
  • Proactive mindset for solving complex system design challenges in a fast-paced environment.
  • Ability to work 5 days per week in the Stockholm office.

Culture & Benefits

  • Collaborative startup environment focused on building from first principles.
  • Opportunity to influence operational efficiency with direct AI application.
  • Commitment to an inclusive and diverse workplace culture.
  • Fast-paced environment with significant ownership and impact on internal tooling.

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