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1 день назад

AI Engineer (Agentic Workflows)

2 930
Формат работы
hybrid
Тип работы
fulltime
Грейд
middle
Английский
b2
Страна
Slovakia
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR

AI Engineer (Agentic Workflows): Designing and implementing production-grade generative AI systems and agentic workflows with an accent on reliability, observability, and scalability. Focus on architecting multi-step LLM systems, establishing evaluation frameworks, and optimizing multi-model integrations.

Location: Hybrid - Bratislava, Slovakia

Salary: Starting base 2,930 EUR

Company

A global insurance leader providing risk management and insurance services across diverse markets.

What you will do

  • Build end-to-end agentic workflows using frameworks like LangGraph, balancing performance and maintainability.
  • Develop production-grade agents, tools, and skills with clear interfaces and comprehensive documentation.
  • Manage multi-LLM integrations, optimizing for latency, cost, and output quality.
  • Define reliability metrics, datasets, and guardrails to ensure system quality and prevent regressions.
  • Design schemas and validation layers for reliable, structured data flows.
  • Mentor junior engineers and contribute to the overall technical direction of the AI team.

Requirements

  • 2-4 years of professional software engineering, data science, or AI engineering experience.
  • At least 2 years of hands-on experience building production generative AI systems.
  • Strong Python expertise with a focus on testing, CI/CD, and software engineering fundamentals.
  • Proven experience with LangGraph or similar agentic frameworks (LangChain, CrewAI, AutoGen).
  • Solid understanding of evaluation methodologies and quality metrics for LLM/agent systems.
  • Must be based in or able to work hybridly in Bratislava, Slovakia.

Nice to have

  • Experience with vector databases (Pinecone, Weaviate, Qdrant) and RAG architectures.
  • Knowledge of LLM observability platforms such as Langfuse, LangSmith, or Weights & Biases.
  • Experience deploying AI systems on Azure, AWS, or GCP with cloud-native architectures.
  • Familiarity with model fine-tuning, prompt optimization, and token management strategies.

Culture & Benefits

  • Flexible work options including home office, workations, and a concentrated work week.
  • Comprehensive financial security with life insurance, pension contributions, and various bonuses.
  • Wellness perks including massages in the office and electronic cafeteria access.
  • Strong commitment to professional growth through certifications and online education portals.
  • Inclusive environment focusing on diversity and a strengths-based culture (GALLUP).

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