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2 дня назад

AI Engineer (Agentic AI/Multi-Agent Systems)

Тип работы
fulltime
Грейд
middle
Английский
b2
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Мэтч & Сопровод

Для мэтча с этой вакансией нужен Plus

Описание вакансии

Текст:
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TL;DR

AI Engineer (Agentic AI/Multi-Agent Systems) (LLMs): Building agentic multi-agent systems for autonomous software testing workflows with an accent on LLM-powered planning, reasoning, and execution. Focus on designing agent orchestration services, integrating LLM workflows, and evaluating model performance for accuracy and reliability.

Location: Not specified

Company

hirify.global is an independent technology consulting firm delivering solutions for businesses with an international team.

What you will do

  • Design and develop agentic AI and multi-agent systems for software testing automation.
  • Build and integrate LLM-powered workflows using modern AI frameworks and APIs.
  • Develop backend services and APIs to support agent interactions and orchestration.
  • Run experiments and evaluate AI model performance, accuracy, and reliability.
  • Collaborate with Product, QA, and Engineering teams to implement AI-driven solutions.
  • Deploy, monitor, and maintain AI services in development and testing environments.

Requirements

  • 3+ years of experience in AI Engineering, Machine Learning Engineering, Data Science, or related fields.
  • Hands-on experience building and deploying Generative AI / LLM-powered applications.
  • Strong Python skills and experience building APIs with FastAPI, Flask, or similar frameworks.
  • Experience using LLM platforms such as OpenAI, Vertex AI, or open-source models.
  • Familiarity with agentic AI frameworks such as LangChain/LangGraph, CrewAI, AutoGen, or LlamaIndex.
  • Understanding of prompt engineering, RAG, tool calling, and AI workflow orchestration; good English communication abilities.

Nice to have

  • Experience designing multi-agent systems or agentic AI solutions.
  • Knowledge of Docker and cloud platforms (AWS, Azure, GCP) and deployment practices.
  • Experience with software testing, QA automation, or testing tools.
  • Familiarity with MLOps or LLMOps practices.

Culture & Benefits

  • Competitive salary with a 13th-month salary and 14+ annual leaves per year.
  • Premium healthcare insurance starting from the probation period.
  • Flexible working time with an international team.
  • Opportunities for on-site work abroad in offices across 60+ countries.
  • Training and technical workshops, plus annual company trip and team-building activities.

Hiring process

  • Start with a brief virtual/phone call.
  • Complete interviews (typically 3) and, depending on the role, a case study or technical assessment.
  • Receive feedback as quickly as possible after evaluation.

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