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8 дней назад

Senior AI Engineer

Формат работы
onsite
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
Ukraine
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR
Senior AI Engineer (Python/LLM): Building an AI-native enterprise work operating system that combines an enterprise registry, connected knowledge graph, and multi-agent workforce with an accent on agentic workflows, LLM applications, and intelligent enterprise integrations. Focus on designing AI-powered capabilities, orchestrating multi-agent systems, integrating knowledge systems, and making architectural decisions for a scalable AI-native product.

Location: Ukraine

Company

hirify.global is an international engineering firm with more than 6,000 experts, delivering AI-focused engineering solutions across industries and markets.

What you will do

  • Build AI-powered capabilities for an enterprise work operating system.
  • Design and implement agentic workflows using LLMs, AI agents, and multi-agent orchestration.
  • Develop knowledge systems using knowledge graphs, vector databases, and other representation approaches.
  • Integrate enterprise tools such as Jira and Confluence into a shared source of truth.
  • Define architecture and make technical decisions for a new AI-native product.
  • Contribute to AI-driven software delivery across requirements, design, development, testing, deployment, and operations.

Requirements

  • Strong commercial experience with Python and backend development.
  • Hands-on experience building LLM-powered applications and AI agents.
  • Strong understanding of agentic AI, multi-agent systems, agent orchestration, LLM APIs, prompt engineering, context management, tool calling, and RAG.
  • Experience with knowledge graphs, vector databases, APIs, integrations, data processing, and distributed systems.
  • Experience with cloud platforms and modern software engineering practices.
  • Ability to work independently, make architectural decisions, and own solutions.

Nice to have

  • Experience with MCP, LangGraph, LangChain, Semantic Kernel, or similar agent frameworks.
  • Experience integrating Jira, Confluence, Microsoft Teams, or SharePoint.
  • Experience with graph databases such as Neo4j.
  • Experience with LLM evaluation, observability, AI reliability, enterprise SaaS, or workflow automation platforms.

Culture & Benefits

  • Equal-opportunity and respectful working environment.
  • Collaboration with engineering, architecture, security, product, and leadership teams.
  • Opportunity to shape AI-native engineering standards and a new product foundation.

Hiring process

  • Submit a CV and discuss goals and experience during a talent call.
  • Complete a technical interview focused on experience, strengths, and approach to work.
  • Some roles include a customer interview before the offer.

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