Назад
Company hidden
4 дня назад

LLM Team Lead (AI)

Тип работы
fulltime
Грейд
lead
Английский
b2
Страна
Israel
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
Для мэтча и отклика нужен Plus

Мэтч & Сопровод

Для мэтча с этой вакансией нужен Plus

Описание вакансии

Текст:
/

TL;DR

LLM Team Lead (AI): Architecting and leading the development of production LLM-based applications with an accent on RAG, tool calling, and evaluation-driven development. Focus on turning ambiguous product goals and exploratory AI work into reliable, scalable production software.

Location: Tel Aviv

Company

hirify.global is an AI-driven company specializing in deep learning and algorithmic trading using their proprietary Large Market Model (LMM).

What you will do

  • Lead a cross-functional team of software engineers and data scientists to develop LLM-based applications.
  • Design LLM workflows utilizing RAG, tool calling, structured outputs, agents, and human-in-the-loop patterns.
  • Own end-to-end delivery from architecture and experimentation to deployment, monitoring, and evaluation.
  • Establish evaluation-driven development practices, including the creation of golden datasets and production feedback loops.
  • Translate business goals into technical roadmaps, milestones, and actionable execution plans.
  • Provide technical guidance, architectural oversight, and career mentorship to team members.

Requirements

  • Location: Must be based in Tel Aviv
  • 8+ years of software engineering experience, with 3+ years in technical leadership or architecture roles.
  • Strong background in both ML/LLM foundations and classical software engineering.
  • Proficiency in Python, TypeScript, JavaScript, SQL, and NoSQL.
  • Proven track record of delivering complex production-grade distributed systems and cloud-native applications.
  • Practical experience with RAG, prompt management, workflow orchestration, and LLM evaluation.

Nice to have

  • Background in NLP, search, or applied data science.
  • Experience with vector search, embeddings, reranking, and retrieval evaluation.
  • Knowledge of LLM observability, MLOps, and ML platform practices.
  • Experience with GCP, Kubernetes, CI/CD, and data pipelines.

Будьте осторожны: если работодатель просит войти в их систему, используя iCloud/Google, прислать код/пароль, запустить код/ПО, не делайте этого - это мошенники. Обязательно жмите "Пожаловаться" или пишите в поддержку. Подробнее в гайде →