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Backend Software Engineer — Applied ML & LLM Systems (Applied ML)

Формат работы
remote
Тип работы
fulltime
Английский
b2
Страна
UK
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR

Backend Software Engineer (Applied ML): Building production systems to extract, enrich, and structure information from unstructured data with an accent on NLP, retrieval, and LLM-powered workflows. Focus on implementing RAG, BM25, and hybrid search systems to automate real estate agency migrations and tenant management.

Location: Remote

Company

hirify.global is a UK-based, AI-enabled lettings and property management platform that automates business processes for real estate agencies through technology and operational excellence.

What you will do

  • Build production systems to extract structured data from emails, documents, and other unstructured sources.
  • Develop solutions to summarize client communication history and surface relevant context within the platform.
  • Improve retrieval and ranking systems using RAG, BM25, embeddings, hybrid search, and reranking.
  • Create Python backend services and APIs using frameworks like FastAPI, Django, or Flask.
  • Define quality metrics, evaluation datasets, and feedback loops for extraction and summarization systems.
  • Integrate ML/LLM workflows into production with robust error handling and observability.

Requirements

  • Strong Python backend engineering experience.
  • Production experience with NLP, ML, information extraction, retrieval, and ranking systems.
  • Practical experience with retrieval systems such as RAG and hybrid search.
  • Proven ability to take research prototypes into production environments.
  • Strong understanding of evaluation metrics, LLM limitations, and hallucination risks.
  • Ability to build reliable services around ML workflows, including monitoring and testing.

Nice to have

  • Experience building AI or LLM agents.
  • Knowledge of document understanding, email parsing, or CRM enrichment.
  • Experience with vector databases or search infrastructure.
  • DevOps or CI/CD experience for deploying ML-backed services.
  • Proficiency in typed languages such as TypeScript, Java, C#, or Kotlin.

Culture & Benefits

  • Fully remote work arrangement.
  • Competitive salary and potential for equity options based on performance.
  • Opportunity to work on high-leverage automation at the intersection of backend engineering and applied ML.
  • Culture based on customer obsession, passion for invention, and long-term thinking.

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