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2 дня назад

AI Engineer (AI)

13 000 - 26 000$
Формат работы
remote (Global)
Тип работы
fulltime
Грейд
middle/senior
Английский
c1
Страна
Poland
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR

AI Engineer (AI): Developing production-grade AI Agents with a focus on modern orchestration patterns and state management frameworks. Focus on implementing rigorous evaluation pipelines and driving productivity in a rapidly evolving field.

Location: Remotely from Poland, Warsaw or Wrocław offices.

Salary: 13,000-26,000 (B2B) or 15,000-23,000 (UoP)

Company

hirify.global, a Solvd Inc. company, creates AI-powered products and services, with a team of nearly 200 specialists.

What you will do

  • Collaborate with cross-functional teams to design and build stateful, multi-agent workflows using modern orchestration patterns.
  • Engage with clients to define requirements and oversee the full software development lifecycle.
  • Implement rigorous evaluation pipelines to quantitatively measure agent performance and reliability before deployment.
  • Manage backend tasks while contributing to frontend development to ship functional end-to-end prototypes.
  • Stay informed about rapid advancements in the field, continuously learning and integrating new knowledge.
  • Employ a pragmatic, evaluation-driven approach to adopting innovative AI solutions.

Requirements

  • Solid full-stack expertise in Python, with experience with TypeScript or Node.js.
  • Deep practical experience with modern orchestration and state-management frameworks like LangGraph or LlamaIndex Workflows.
  • Strong understanding of Retrieval-Augmented Generation (RAG) including advanced techniques.
  • Experience implementing tracing and monitoring for complex agent flows using tools like LangSmith, LangFuse, or Arize Phoenix.
  • Proven ability to design Evals and test pipelines to prevent regression and hallucinations in production apps.
  • English: C1+ required.

Nice to have

  • Experience running and serving local LLMs.
  • Familiarity with programmatic prompting optimization tools like DSPy.
  • Hands-on experience with the Model Context Protocol (MCP).

Culture & Benefits

  • Flexibility to choose your working hours and location.
  • Value remote work, while building relationships.
  • Relaxed atmosphere.
  • Pets in the office.

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