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3 дня назад

Applied AI Engineer (LLM)

Формат работы
onsite
Тип работы
fulltime
Грейд
middle
Английский
b2
Страна
Israel
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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TL;DR

Applied AI Engineer (LLM): Translating business problems into AI-driven solutions for large enterprises with an accent on AI workflows and model configuration. Focus on building integrations between AI logic and deterministic building blocks and implementing RAG-like architectures.

Location: Tel Aviv-Yafo, Israel

Company

AI-first startup helping the world’s largest enterprises bring LLM-powered applications to life rapidly.

What you will do

  • Implement workflows and configure model behavior for customer solutions.
  • Build integrations between AI logic and deterministic building blocks.
  • Work with platform and research teams to identify and surface platform-level improvements.
  • Translate complex business problems into production-ready AI solutions.
  • Bridge the gap between model capabilities and real-world impact.

Requirements

  • Bachelor’s degree in Computer Science, Engineering, or a related field.
  • 4+ years of experience in software engineering, data science, machine learning, or research.
  • Experience delivering production solutions using Python or TypeScript.
  • Experience building pipelines for structured/unstructured data, including vector databases and RAG architectures.
  • Proficiency in prompt design, evaluation, and iterative workflows.
  • Ability to read and implement technical research papers.

Nice to have

  • Master’s degree or PhD in AI, Computer Science, or a related field.
  • Experience with multi-agent systems (e.g., LangGraph, CrewAI, Google ADK) and patterns like ReAct.
  • Knowledge of LLM-native metrics (tokens/sec, cost-per-request) and state management optimization.
  • Background in data pipelines, APIs, or system integrations.
  • Experience working with enterprise B2B customers in fast-paced startup environments.

Culture & Benefits

  • Real ownership from day one, driving decisions and shaping ideas.
  • High-growth learning environment working directly alongside founders and VPs.
  • Opportunity to build and define the next generation of AI technology.

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