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обновлено 55 минут назад

AI Engineer

Формат работы
remote (только Europe)/hybrid
Тип работы
fulltime
Грейд
middle/senior
Английский
b1
Страна
Ukraine/Poland/Georgia +2 еще
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
AI Engineer (Python/LangGraph/LangChain): Developing AI-driven solutions for advertising campaign analytics, insights, and automation with an accent on conversational agents, RAG, prompt engineering, and streaming APIs. Focus on designing graph-based agent workflows, integrating external services, and deploying reliable AI platform capabilities with testing, observability, and distributed systems.

Location: Remote or hybrid; candidates must be based in Bulgaria, Georgia, Moldova, Poland, or Ukraine

Company

hirify.global delivers technology solutions for a global marketing technology platform that supports cross-channel programmatic media planning and activation.

What you will do

  • Develop conversational AI agents from solution design through production deployment.
  • Build AI-powered platform capabilities for advertising campaign analytics, insights, and automation.
  • Collaborate with GenAI teams and cross-functional partners on practical product use cases.
  • Research and evaluate advanced AI technologies for product development.
  • Integrate external APIs and services into AI-driven solutions.
  • Participate in pager duty rotations as needed.

Requirements

  • Strong hands-on experience with Python, FastAPI, asynchronous programming, SQLAlchemy, and Pydantic.
  • Experience with TypeScript and Nest.js.
  • Experience designing AI agents with LangGraph or LangChain, including graph-based workflows, tool calling, structured outputs, and checkpointing.
  • Knowledge of LLM engineering, RAG, prompt engineering, guardrails, observability, and tracing.
  • Experience with REST APIs, SSE or WebSockets, SQL, PostgreSQL, data modeling, and automated testing with pytest or Jest.
  • English proficiency at B1 level or higher.

Nice to have

  • Experience with vector databases, columnar data warehouses, AWS, or boto3.
  • Familiarity with MCP, A2A, text-to-SQL, LLM observability tools, feature-flagging platforms, or AI-assisted development tools.
  • Knowledge of distributed systems, microservices, caching, API routing, or multi-agent orchestration.

Culture & Benefits

  • Flexible work options, including remote and hybrid opportunities.
  • Technical and non-technical training, internal conferences, and meetups.
  • Professional mentorship and support from experienced employees.
  • Health insurance and sports activities.
  • Referral program, work anniversary program, and additional vacation days.

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