Назад
22 часа назад

GenAI Engineer (AI Agents)

Формат работы
remote (Global)
Тип работы
fulltime
Грейд
senior
Английский
b2

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Описание вакансии

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TL;DR

GenAI Engineer (AI Agents): Design and build AI-powered workflows and AI Agents that automate business processes and enable Human + AI collaboration with an accent on agent safety, observability, and scalable LLM-based application development. Focus on translating business requirements into production-ready multi-agent and RAG solutions integrated with internal systems and third-party platforms.

Location: Remote

Company

Magic Compass Holdings Limited builds AI solutions to improve business productivity across multiple functions.

What you will do

  • Design, build, and maintain AI Agents and AI-powered workflows for business operations.
  • Develop monitoring, logging, and observability for agent behaviors and safety rules.
  • Translate business requirements into practical AI solutions and scalable automation.
  • Build LLM-based applications using prompts, multi-agent solutions, RAG, and tool/function calling.
  • Integrate AI solutions with internal systems and third-party platforms, including automation pipelines.
  • Evaluate emerging AI technologies and recommend practical business applications.

Requirements

  • 1–3 years of experience building AI applications, AI Agents, or workflow automation solutions.
  • Hands-on experience with leading LLMs (e.g., OpenAI GPT, Claude, Gemini, DeepSeek, Qwen, Llama) and modern AI-assisted development tools.
  • Practical familiarity with agentic concepts (planning, tool-using agents, retrieval-augmented generation) and multi-agent systems.
  • Experience integrating AI solutions with APIs, third-party services, or internal business systems.
  • Basic programming skills in Python and familiarity with prompt engineering, AI workflow design, or RAG.
  • Experience in FinTech, trading, risk management, and/or digital assets.
  • Ability to communicate effectively in English.

Culture & Benefits

  • Fully remote working environment with local working hours.
  • Work on AI solutions that address real business problems.
  • Collaborate across multiple business functions and support the company’s AI transformation.
  • Use the latest LLMs, AI Agents, workflow automation, and AI development tools.

Hiring process

  • Interviews to assess AI/LLM engineering experience and ability to translate business requirements into working solutions.
  • Technical evaluation focused on agent/workflow design and integration experience.

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