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Вакансия опубликована 8 дн. назад - шансы на ответ снижаются.

обновлено 8 дней назад

Applied AI / LLM Engineer (Python)

Формат работы
remote (Global)
Тип работы
fulltime
Грейд
senior
Английский
b2
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний

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Описание вакансии

Текст:
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TL;DR
Applied AI / LLM Engineer (Python) (AI/LLM): Building production LLM pipelines, AI agents, and RAG-based systems with an accent on tool calling, structured outputs, and reliable Python services. Focus on validating AI product hypotheses, evaluating and optimizing model quality, performance, and cost, and turning GenAI concepts into scalable solutions.

Location: Remote, anywhere except Russia and Belarus

Company

Mad Devs delivers software projects across Europe, the USA, and South East Asia, including AI solutions for the legal industry.

What you will do

  • Design and build LLM pipelines, AI agents, and RAG-based systems.
  • Implement function and tool calling, structured JSON-schema outputs, and production-grade Python services.
  • Develop backend services with Django, Celery, and Redis.
  • Validate product hypotheses using real-world data and analytics.
  • Measure and optimize LLM quality, performance, and cost.
  • Collaborate with product managers and engineers to deliver scalable AI-powered products.

Requirements

  • 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 experience with Django, PostgreSQL, and asynchronous programming.
  • Strong SQL and Pandas skills with a data-driven mindset.
  • English at B2–C1 level and Russian at C1 level; location must be anywhere except Russia and Belarus.

Nice to have

  • Experience with vector databases such as Qdrant or pgvector.
  • Experience with fine-tuning, text classification, or embedding models.
  • Experience with Kubernetes, gRPC, or Go.

Culture & Benefits

  • Remote-first culture with flexible working hours.
  • Long-term projects and salary paid in dollars.
  • Professional communities and a training budget.
  • Paid conferences and onsite business trips.

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