Назад
4 дня назад

Support Engineer, AI Infrastructure & Tooling

169 000 - 245 000$
Формат работы
remote (только USA)/onsite
Тип работы
fulltime
Грейд
middle
Английский
b2
Страна
US
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
Support Engineer, AI Infrastructure & Tooling (AI): Building AI-powered support workflows and integrations across customer, account, administrative, and support systems with an accent on LLM applications, workflow automation, and operational reliability. Focus on designing data flows, implementing guardrails and fallback paths, and measuring the impact of AI workflows on customer outcomes and Specialist efficiency.

Location: Remote within the United States or onsite at Figma hubs in San Francisco, CA, or New York, NY. In-person onboarding is required for hires.

Annual base salary: $169,000–$245,000 USD

Company

Figma develops a collaborative design platform that helps teams brainstorm, prototype, translate designs into code, and iterate with AI.

What you will do

  • Build and operationalize AI-powered workflows for customers and Product Support teams.
  • Design and maintain integrations across Decagon, Zendesk, Figma admin tooling, internal data sources, and related support platforms.
  • Enrich support conversations with customer, account, product, billing, file, and admin metadata.
  • Apply LLMs for classification, summarization, routing, recommendations, context enrichment, and workflow automation.
  • Partner with Engineering, Analytics, Security, Programs, Support, and vendors on requirements, governance, implementation, and rollout.
  • Develop quality checks, monitoring, fallback paths, operational guardrails, and success metrics for production workflows.

Requirements

  • 3+ years of experience shipping integrations, automations, or internal tools for customer-facing operational systems.
  • Strong proficiency in modern backend technologies such as Ruby, Python, Go, C++, and PostgreSQL.
  • Hands-on experience building APIs, implementing webhooks, orchestrating data flows, and integrating complex systems.
  • Experience with LLM-powered workflows, AI automations, or AI-enabled customer and support experiences.
  • Ability to translate ambiguous support problems into practical, measurable technical solutions.
  • Experience designing AI workflows with guardrails, fallback paths, and responsible deployment practices.

Nice to have

  • Experience with Zendesk, Decagon, Sprinklr, Gainsight, Maestro QA/Rippit, Assembled, Salesforce, or similar platforms.
  • Familiarity with agent-assist tools, AI support chatbots, copilots, RAG, AI observability, or production monitoring.
  • Experience building internal Slack tooling, workflow automations, or embedded support experiences.
  • Background in Support Engineering, Internal Tools Engineering, Solutions Engineering, Support Operations, CX Systems, or Business Systems.
  • Knowledge of support metrics such as containment, deflection, CSAT, first-contact resolution, and routing accuracy.

Culture & Benefits

  • Health, dental, and vision coverage with retirement benefits and company contributions.
  • Parental leave, reproductive and family planning support, and mental health and wellness benefits.
  • Paid time off, paid sick leave, holidays, and flexible PTO for eligible exempt employees.
  • Potential recharge days, cell phone and home internet reimbursements, and lifestyle spending accounts.
  • Equity and annual bonus eligibility for non-sales roles.
  • Reasonable accommodations are available throughout the application, interview, and employment process.

Hiring process

  • Job level and compensation are determined based on qualifications, experience, expected impact, scope, market conditions, and work location.
  • Cameras must remain on during video interviews.
  • In-person onboarding is required after hiring.

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