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13 часов назад

Senior AI Engineer (Agentic AI)

Формат работы
remote (Global)/hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US/Philippines/Ukraine +2 еще
Вакансия из списка Hirify.GlobalВакансия из Hirify RU Global, списка компаний с восточно-европейскими корнями
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Описание вакансии

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TL;DR

Senior AI Engineer (Agentic AI): Building and scaling production-grade agentic AI capabilities from the ground up with an accent on RAG, LLM orchestration, and document understanding. Focus on designing reliable, production-ready AI pipelines, implementing eval-driven development, and establishing engineering standards for AI systems.

Location: Remote or hybrid from offices in the United States, Poland, Romania, Ukraine, or the Philippines.

Company

A global SaaS provider of document workflow and e-signature solutions, serving millions of users worldwide.

What you will do

  • Design and ship end-to-end production AI features including RAG, agents, and document understanding.
  • Drive technical architecture for the AI product line, focusing on LLM orchestration, observability, and cost-reliability tradeoffs.
  • Own AI initiatives from specification through production rollout and post-launch evaluation.
  • Build and evolve evaluation frameworks to measure and improve AI feature quality.
  • Collaborate with cross-functional teams to shape AI features that deliver real business value at scale.
  • Mentor engineers on AI engineering practices and provide architectural feedback.

Requirements

  • 8+ years of commercial software engineering experience, with strong proficiency in Python.
  • 3+ years of experience shipping LLM/GenAI features to production at scale.
  • Hands-on experience with RAG in production and agent orchestration using frameworks like LangGraph.
  • Strong system design skills for LLM applications, including latency, cost, and reliability management.
  • Experience with observability and evaluation tools for LLM systems such as Langfuse or Arize.
  • English proficiency: B2 (Upper-Intermediate).

Nice to have

  • Experience with document understanding, OCR, or structured data extraction.
  • Proficiency with Postgres and pgvector at scale.
  • Familiarity with LLM proxy patterns like LiteLLM.
  • Previous experience in a technical leadership or mentoring role.

Culture & Benefits

  • Flexible working environment with options for remote or hybrid work.
  • Competitive compensation package including performance-based bonuses and stock options.
  • Comprehensive health coverage and wellness programs tailored to your location.
  • Dedicated quarterly company-wide Mental Health Days.
  • Strong focus on professional growth through courses, conferences, and internal mobility.
  • Family-friendly culture with pet-friendly offices and support for parents.

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