LLM Engineer (NLP / Generative AI)

Частный рекрутер  Рекрутер Любовь ( сайт не указан )
Аккаунт зарегистрирован с email *@internet.ru
Миддл • Сеньор
Аналитика, Data Science, Big Data • Machine Learning • Python • Разработчик • ML/AI • Natural Language Processing (NLP)
7 августа
Удаленная работа
Опыт работы от 3 до 5 лет
от 2 000 до 4 000 ₽
Агентство  Рекрутер Любовь
Описание вакансии

*Project: AI chatbot platform + multimodal scenarios (image and video generation)* ​

About the project

We’re building interactive AI partners that engage in meaningful conversations, remember context, manage media content, and adapt to the user's style.

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Responsibilities

Python utilities for LLMs

  * small scripts / CLI tools initially run locally, then handed off to the backend team

No-code pipelines in Gradio

  * rapid prototyping of web demos to validate ideas quickly

Prompt engineering

  * crafting system/user prompts for various role-based scenarios

API integration

  * OpenAI / Anthropic / Google APIs, no model training or fine-tuning at this stage

Deployment and testing

  * minimal tests, logging, basic CI (GitHub Actions)

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What you'll need (minimum requirements)

  • Confident Python 3 skills (functions, classes, virtualenv, pip)
  • Understanding of REST/JSON and experience with external APIs
  • Basic Git proficiency
  • Interest in NLP and a desire to quickly learn new frameworks

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Nice to have

  • Experience with ComfyUI / Stable Diffusion / ControlNet (image generation)
  • Familiarity with LangChain, LlamaIndex, or similar LLM orchestration tools
  • Pet projects published on GitHub or participation in Kaggle
  • Knowledge of Gradio, FastAPI, Docker

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What we offer

  • Mentorship — direct support from the CTO to help you grow to mid-level, code reviews every sprint
  • Flexible schedule — fully remote
  • Greenfield product — influence architecture and tech stack choices, minimal bureaucracy
  • Strong R/&D phase — rapid experimentation, production A/B testing, regular feedback from real users
  • Corporate learning budget — courses, conferences, and a “buy the tool if you need it” policy

 


Специализация
Аналитика, Data Science, Big DataMachine LearningPythonРазработчик
Отрасль и сфера применения
ML/AINatural Language Processing (NLP)
Уровень должности
МиддлСеньор
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