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4 дня назад

Senior IA Engineers (AI)

Формат работы
remote (только Latam)
Тип работы
fulltime
Грейд
senior
Английский
b2
Вакансия из списка Hirify.GlobalВакансия из Hirify RU Global, списка компаний с восточно-европейскими корнями
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Описание вакансии

Текст:
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TL;DR
Senior IA Engineers (AI): Design and develop production-ready Agentic AI applications and multi-agent systems powered by Large Language Models, with an accent on RAG architectures, knowledge retrieval pipelines, and enterprise integrations. Focus on building scalable backend services and APIs, orchestrating agent workflows, and ensuring the security, reliability, and maintainability of AI solutions in production.

Location: LATAM

Company

hirify.global is a digital technology company working across automotive and mobility, commerce, financial services, healthcare and life sciences, and technology, media and communication.

What you will do

  • Design and develop Agentic AI solutions that solve complex business problems and deliver measurable value.
  • Build, deploy, and maintain production-ready AI applications powered by Large Language Models.
  • Design RAG architectures, knowledge retrieval pipelines, memory management, tool calling, and human-in-the-loop workflows.
  • Build and orchestrate multi-agent systems using modern Agentic AI frameworks.
  • Integrate AI services and agents with enterprise platforms, internal tools, and third-party applications.
  • Develop backend services and REST APIs and ensure the scalability, security, reliability, and maintainability of production AI solutions.

Requirements

  • 7+ years of software engineering experience, including designing and delivering AI-powered applications.
  • Proven experience building and operating Large Language Model solutions in production.
  • Hands-on experience with Agentic AI frameworks such as LangGraph, CrewAI, AutoGen, Semantic Kernel, or OpenAI Agents SDK.
  • Strong experience with RAG architectures, knowledge retrieval systems, vector databases, and relational SQL databases.
  • Strong backend development experience with FastAPI, Flask, or similar Python frameworks, plus REST API development.
  • Experience integrating AI services and external APIs and deploying cloud-native solutions in AWS, Azure, or Google Cloud Platform.

Nice to have

  • Experience with OpenAI, Anthropic, Gemini, or similar foundation model providers.
  • Experience with MCP, AI governance, responsible AI, security, and compliance.
  • Familiarity with AI observability, monitoring, evaluation frameworks, prompt engineering, and agent performance tuning.

Culture & Benefits

  • Learning-focused culture with career path planning, training, mentoring, and career development support.
  • Unlimited access to Udemy, internal courses, training, and a mentorship program.
  • Professional hubs for knowledge sharing and access to current technology trends.
  • Opportunities to build connections across teams, functions, and the wider organization.
  • Full-time work within a diverse community of approximately 2,000 professionals across four continents.

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