Middle Applied AI / LLM Engineer (Python)
Mad Devs
- Зарплата
- 2 300 – 2 800 ₽
- Грейд
- Middle
- Формат
- Удалённо
- Занятость
- Полная
- Категория
- Data/ML
- Источник
- RemoteGeekjob
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Applied AI / LLM Engineer (Python)
Прямой работодатель Mad Devs ( maddevs.io )
Опыт работы от 3 до 5 летот 2 300 до 2 800 ₽
We're looking for an AI Engineer to own the AI layer of our products - from research and experimentation to production deployment. You'll have end-to-end ownership of AI initiatives, work on real-world GenAI challenges, and help shape the future of AI-powered products.
What will need to do:
- Design and build LLM pipelines, AI agents, and RAG-based systems: function/tool calling, structured output (JSON schema)
- Develop production-grade Python services (Django, Celery, Redis)
- Validate product hypotheses using real-world data and analytics
- Measure and optimize LLM quality, performance, and cost
- Collaborate closely with product managers and engineers to turn ideas into scalable solutions
Requirements:
- Experience with NLP projects in production, 1+ year.
- Strong experience building production LLM applications.
- Hands-on expertise with RAG, embeddings, vector search, prompt engineering, and LLM evaluation.
- Experience with LangGraph, LangChain, or similar frameworks.
- Solid Python backend background, 2+ years (Django, PostgreSQL, async programming).
- Strong SQL/Pandas skills and a data-driven mindset.
- Language proficiency: English at B2–C1, Russian at C1.
- Location: any, except Russia and Belarus.
It will be a plus:
- Experience with vector databases (Qdrant, pgvector, etc.)
- Fine-tuning, text classification, or embedding models
- Kubernetes, gRPC, or Go experience
Why Join Us:
At Mad Devs, you'll join a passionate team dedicated to solving complex challenges and delivering innovative solutions. Our projects span Europe, the USA and South East Asia, giving you the opportunity to make a global impact. We value flexibility, remote working and professional development, ensuring you thrive in an inspiring environment. Join us in revolutionizing the legal industry with AI!
Прямой работодатель Mad Devs ( maddevs.io )
Опыт работы от 3 до 5 летот 2 300 до 2 800 ₽
We're looking for an AI Engineer to own the AI layer of our products - from research and experimentation to production deployment. You'll have end-to-end ownership of AI initiatives, work on real-world GenAI challenges, and help shape the future of AI-powered products.
What will need to do:
- Design and build LLM pipelines, AI agents, and RAG-based systems: function/tool calling, structured output (JSON schema)
- Develop production-grade Python services (Django, Celery, Redis)
- Validate product hypotheses using real-world data and analytics
- Measure and optimize LLM quality, performance, and cost
- Collaborate closely with product managers and engineers to turn ideas into scalable solutions
Requirements:
- Experience with NLP projects in production, 1+ year.
- Strong experience building production LLM applications.
- Hands-on expertise with RAG, embeddings, vector search, prompt engineering, and LLM evaluation.
- Experience with LangGraph, LangChain, or similar frameworks.
- Solid Python backend background, 2+ years (Django, PostgreSQL, async programming).
- Strong SQL/Pandas skills and a data-driven mindset.
- Language proficiency: English at B2–C1, Russian at C1.
- Location: any, except Russia and Belarus.
It will be a plus:
- Experience with vector databases (Qdrant, pgvector, etc.)
- Fine-tuning, text classification, or embedding models
- Kubernetes, gRPC, or Go experience
Why Join Us:
At Mad Devs, you'll join a passionate team dedicated to solving complex challenges and delivering innovative solutions. Our projects span Europe, the USA and South East Asia, giving you the opportunity to make a global impact. We value flexibility, remote working and professional development, ensuring you thrive in an inspiring environment. Join us in revolutionizing the legal industry with AI!
- python
- django
- celery
- redis
- rag
- langgraph
- langchain
- postgresql
- pandas
- sql
- qdrant
- pgvector
- kubernetes
- grpc
- go
Оценка вакансии
80/100 · хорошо
- Описание полное
- Зарплатная вилка указана
- Компания и проект описаны
- Контакта нет
- Стек описан подробно
- Формат работы понятен
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