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4 дня назад

Engineering Leader (AI)

170 000 - 220 000$
Формат работы
hybrid
Тип работы
fulltime
Грейд
lead
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
Engineering Leader (AI): Building and operating DataVisor’s real-time machine learning platform for fraud detection with an accent on streaming systems, storage layers, training pipelines, and AI-assisted engineering tools. Focus on designing distributed systems, improving operational reliability, mentoring engineers, and validating LLM- and agent-generated outputs in production.

Location: Mountain View, California, United States; Workplace: Hybrid

Base salary: $170,000–$220,000 per year, commensurate with experience.

Company

hirify.global provides an AI-powered fraud and risk platform with real-time fraud detection, anti-money laundering, machine learning, device intelligence, and investigation capabilities.

What you will do

  • Own the technical direction of the real-time detection platform, including streaming, storage, and machine learning training pipelines.
  • Translate product and engineering roadmaps into technical plans, milestones, and execution priorities.
  • Lead architecture reviews, make technical trade-off decisions, and document key decisions.
  • Stay hands-on with coding, code reviews, debugging, and production incident support.
  • Mentor engineers and improve system design, code quality, operational excellence, and technical execution.
  • Define standards for AI-assisted engineering and build tools for triage, root-cause analysis, alert summarization, and evaluation.

Requirements

  • 8+ years of software development experience and 2+ years of technical leadership experience.
  • Production expertise with Java and working proficiency in Python and Shell scripting.
  • Experience designing, building, shipping, and operating distributed real-time systems at scale.
  • Strong knowledge of computer systems, relational databases, SQL, multithreading, and concurrency.
  • Hands-on experience with Cassandra, Yugabyte, Flink, Spark, or Kafka, plus experience with the Spring Framework.
  • Bachelor’s degree in Computer Science or a related field is required.

Nice to have

  • Experience in fraud, risk, payments, financial services, or other high-impact domains.
  • Experience owning machine learning platforms or large-scale training pipelines.
  • Experience with Kubernetes, LLM APIs, agent frameworks, tool calling, RAG, or MCP.
  • Experience writing evaluations for non-deterministic systems, hiring or mentoring engineers, and test-driven development.

Culture & Benefits

  • Open, positive, collaborative, and results-driven working environment.
  • Health insurance and 401(k).
  • Paid time off.
  • Equity.

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