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5 дней назад

Senior Modernization Engineer (AI)

Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
CR
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 Modernization Engineer (AI): Building and deploying autonomous agentic AI solutions for enterprise customers with an accent on LLM orchestration, agent architectures, and full-stack integration. Focus on solving complex real-world deployment challenges, optimizing agent performance, and driving measurable business outcomes through a hybrid engineering-consulting model.

Location: Heredia, Costa Rica (Hybrid)

Company

hirify.global is a global technology services company that designs, builds, manages, and modernizes mission-critical technology systems for the world’s leading businesses.

What you will do

  • Build and integrate autonomous agents using LLMs, planning algorithms, and decision-making frameworks.
  • Develop full-stack AI solutions, including backend services and frontend interfaces for copilots and automation tools.
  • Optimize agent behavior through reinforcement learning, feedback loops, and semantic knowledge layers.
  • Collaborate directly with customers to scope, prototype, and deploy production-ready AI systems.
  • Implement observability, security, and guardrail mechanisms to ensure system reliability and performance.
  • Capture field intelligence and contribute to the evolution of core AI platforms and frameworks.

Requirements

  • Bachelor’s degree in Computer Science, Engineering, or equivalent.
  • Hands-on experience with Python and frontend technologies like TypeScript and React.
  • Proven experience building AI solutions using frameworks such as LangChain, Semantic Kernel, or Google ADK.
  • Expertise in LLM architectures, agent orchestration (e.g., LangGraph, AutoGen), and observability tools.
  • Strong knowledge of Docker, Kubernetes, and cloud platforms (AWS, Azure, or GCP).
  • Ability to travel up to 25% globally for customer engagements.

Nice to have

  • Experience with knowledge graphs for agent reasoning.
  • Familiarity with vector databases and RAG architectures.
  • Background in microservices-based architectures and data engineering tools like Spark.

Culture & Benefits

  • Hybrid-friendly work environment focused on flexibility and well-being.
  • Access to continuous learning opportunities, including certifications with Microsoft, Google, and Amazon.
  • Supportive culture emphasizing belonging, empathy, and shared success.
  • Comprehensive Be Well programs covering financial, mental, physical, and social health.
  • Clear career progression pathways from Junior to Principal levels.

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