Назад
Company hidden
1 месяц назад

Knowledge Base AI Engineer (iGaming)

Тип работы
fulltime
Английский
b2
Страна
Serbia
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
Для мэтча и отклика нужен Plus

Мэтч & Сопровод

Для мэтча с этой вакансией нужен Plus

Описание вакансии

Текст:
/

TL;DR

Knowledge Base AI Engineer (AI/iGaming): Designing and building a next-generation hybrid knowledge system combining LLMs with structured ontologies to automate business processes with an accent on RAG pipelines and agentic reasoning. Focus on architecting hybrid AI knowledge bases, developing data ingestion pipelines, and modeling complex domains into ontology systems.

Location: Belgrade, Serbia

Company

hirify.global is an IT company providing marketing, gaming, and financial solutions for the iGaming industry across Europe, Africa, and Latin America.

What you will do

  • Architect and deploy a hybrid AI knowledge base integrating dynamic inference logic with structured ontology frameworks.
  • Design and implement advanced Retrieval-Augmented Generation (RAG) pipelines using diverse retrieval strategies.
  • Build agentic and multi-pass reasoning workflows using advanced prompt engineering techniques.
  • Develop data ingestion and processing pipelines, including OCR, table parsing, and intelligent chunking of unstructured data.
  • Model complex business domains into structured ontology systems.

Requirements

  • Proficiency in Python and/or Clojure.
  • Expertise in Graph databases (Memgraph, Neo4j), Vector databases (Weaviate, Pinecone, pgvector), and Relational databases (PostgreSQL).
  • Experience with Git, Linux command line, CI/CD pipelines (GitHub/GitLab), and Docker.
  • Knowledge of system communication protocols including HTTP, sockets, and shell.
  • Strong problem-solving skills and solid engineering fundamentals.

Nice to have

  • Interest or experience in symbolic AI and functional/logic programming (Lisp, Scheme, Prolog, OWL).
  • Experience deploying local LLM inference systems (vLLM, Ollama).
  • Familiarity with LLM evaluation frameworks like DeepEval or Ragas.
  • Experience in MLOps or building data-intensive pipelines.
  • Knowledge of Pathom (Clojure) or experience building static analysis systems.

Culture & Benefits

  • Competitive salary with annual salary reviews.
  • Private health insurance and Fit Pass for all employees.
  • Work-life balance with 25 working days of paid vacation and a flexible schedule.
  • Modern office in Belgrade with free fruits, snacks, and a playroom (billiard, tennis table, PlayStation).
  • Corporate events, team-building activities, and birthday vouchers.

Будьте осторожны: если работодатель просит войти в их систему, используя iCloud/Google, прислать код/пароль, запустить код/ПО, не делайте этого - это мошенники. Обязательно жмите "Пожаловаться" или пишите в поддержку. Подробнее в гайде →