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16 часов назад

Senior AI Engineer (EdTech)

Формат работы
remote (Global)
Тип работы
fulltime
Грейд
senior
Английский
c1
Страна
Poland
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 AI Engineer (EdTech): Designing AI architectures and building end-to-end AI solutions including assistants, recommendations, and automation systems with an accent on LLM/GenAI technologies, RAG, embeddings, and vector stores. Focus on integrating AI solutions with backend systems, selecting appropriate models and tooling, and mentoring engineers on AI best practices.

Location: Full Remote

Company

hirify.global is an IT consultancy firm that helps startups, mid-sized and large corporations to create and deliver innovative technologies.

What you will do

  • Design and implement AI architectures based on LLM/GenAI technologies.
  • Build end-to-end AI solutions including assistants, recommendations, and automation systems.
  • Design and implement RAG (Retrieval-Augmented Generation), embeddings, vector stores, and data pipelines.
  • Integrate AI solutions with backend systems (microservices, REST APIs, event-driven architectures).
  • Mentor engineers, define best practices, and perform code reviews.
  • Co-create and execute the AI roadmap with product and business stakeholders.

Requirements

  • 5+ years of experience as a Software Engineer.
  • 2+ years hands-on experience in AI/ML or LLM-based projects.
  • Strong Python experience (3+ years commercially).
  • Practical experience with OpenAI, Azure OpenAI, HuggingFace, or open-source LLMs.
  • Experience with LangChain, LlamaIndex, or similar orchestration frameworks.
  • Excellent written and spoken English with ability to engage stakeholders across countries.

Nice to have

  • Experience with fine-tuning, LoRA, and quantization techniques.
  • Knowledge of MLOps (monitoring, drift detection, CI/CD for AI).
  • Experience building AI-first products in startup or high-ownership environments.
  • Background in data engineering, analytics, or platform engineering.

Culture & Benefits

  • 100% remote work.
  • B2B contract.

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