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7 дней назад

Principal Engineer, Agentic Engineering (AI)

200 000 - 325 000$
Формат работы
onsite
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

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TL;DR

Principal Engineer, Agentic Engineering (AI): Building agent infrastructure and autonomous coding pipelines for fully autonomous development workflows with an accent on multi-agent coordination, LLMOps infrastructure, and production observability. Focus on designing executable engineering standards, transforming delivery pipelines, and owning end-to-end AI systems.

Location: New York

Salary: $200,000 - $325,000 + discretionary annual target bonus + performance incentives/benefits

Company

Institutionally focused global digital asset platform providing regulated exchange, indices, market data, and insights.

What you will do

  • Build agent infrastructure for AI agents to discover, communicate, and coordinate across teams
  • Evolve autonomous coding pipelines with deterministic multi-agent execution, cost control, and human review
  • Encode engineering standards as executable AI behaviors in developer workflows
  • Transform delivery pipelines by automating or replacing manual gates with agents
  • Own AI infrastructure including model routing, LLM proxy, cost attribution, evaluation, and observability
  • Set technical direction, stay hands-on with code, evaluate new models, and mentor engineers

Requirements

  • 8+ years of engineering experience with significant recent work in LLM and agent systems
  • Hands-on experience with LLM APIs (Anthropic, OpenAI, Google) and agent frameworks (LangChain, LlamaIndex)
  • Direct experience designing and building agentic workflows or multi-agent systems
  • Mastery of backend development, distributed systems, and Python
  • Strong LLMOps skills: CI/CD for AI, observability, cost control
  • Experience deploying AI coding agents or developer tools to teams
  • Ability to influence technical direction and build consensus

Nice to have

  • Experience in digital assets, blockchain, or financial services
  • Experience fine-tuning and deploying open-source LLMs
  • Experience with data privacy and security compliance

Culture & Benefits

  • Competitive compensation with base salary, bonus, and performance incentives
  • Equal opportunity employer committed to global diversity and integrity
  • Fast-evolving environment encouraging different perspectives

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