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Machine Learning Engineer V (AI)

Тип работы
fulltime
Грейд
senior
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
Machine Learning Engineer V (AI): Building and scaling production-grade agentic platform capabilities, LLM application frameworks, and AI-enabled workflows for tax compliance products with an accent on reliability, security, evaluation, and enterprise-scale operations. Focus on designing orchestration patterns, integrating tools and retrieval systems, measuring agentic quality and safety, and mentoring engineers while maintaining high-availability services.

Location: United States

Company

hirify.global provides a cloud compliance platform for tax technology, processing customer API calls and tax returns at enterprise scale.

What you will do

  • Design, build, and operate foundational agentic platform capabilities for Aviator, the hirify.global Avi Agent, and other AI-powered experiences.
  • Develop scalable LLM application frameworks, orchestration patterns, tool integrations, retrieval systems, and agent workflows.
  • Create evaluation methods covering quality, accuracy, latency, cost, safety, and task completion.
  • Translate ambiguous product and business needs into technical designs, prototypes, production features, and measurable outcomes.
  • Apply CI/CD, automated testing, code review, documentation, observability, and operational readiness practices.
  • Partner with product, engineering, security, data, and business stakeholders; mentor engineers and improve high-availability systems.

Requirements

  • Bachelor’s degree in Computer Science, Engineering, or a closely related technical field.
  • 8+ years of professional experience building, deploying, and operating production software systems, with strong preference for Python.
  • Hands-on experience building LLM applications, agentic systems, or AI-enabled workflows in production or production-like environments.
  • Practical experience with GPT, Claude, Llama, or similar LLMs, including prompting, orchestration, evaluation, and reliability.
  • Experience with enterprise-scale software design, distributed systems, data structures, design patterns, high-availability operations, and AWS, Azure, or GCP.
  • Familiarity with MCP, A2A, tool use, retrieval, multi-agent orchestration, AI governance, evaluation, auditability, and responsible data handling.

Culture & Benefits

  • AI is embedded in engineering workflows, decision-making, and products.
  • Compensation package with paid time off and paid parental leave.
  • Many employees are eligible for bonuses.
  • Benefits generally include private medical, life, and disability insurance, varying by location.
  • Commitment to diversity, equity, inclusion, and employee resource groups.

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