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1 день назад

AI Engineer (LLM Focus)

Формат работы
remote (только Europe)
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
Cyprus/Europe
Вакансия из списка Hirify.GlobalВакансия из Hirify RU Global, списка компаний с восточно-европейскими корнями
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Описание вакансии

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TL;DR
AI Engineer (LLM Focus) (GenAI/LLM): Building and scaling the intelligence behind Summy AI Copilot, an agentic assistant for compliance officers, with an accent on multi-turn reasoning, Text-to-SQL, tool calling, and production evaluation. Focus on designing LangGraph-based agents, operating LLM observability and evaluation pipelines, and securely extending MCP integrations for external AI agents.

Location: Limassol, EU, Cyprus; remote. The role is open to candidates in multiple countries, with the applicable work location confirmed during recruitment.

Company

hirify.global provides AI-powered trust infrastructure for compliance operations, including identity and business verification, fraud prevention, transaction monitoring, and risk workflows.

What you will do

  • Own the core intelligence of Summy AI Copilot from concept through production rollout and operation.
  • Design and build robust multi-turn AI agents with complex reasoning, context retention, and autonomous actions using frameworks such as LangGraph.
  • Establish LLM tracing, monitoring, and evaluation pipelines to measure quality, latency, and token costs.
  • Develop the public MCP server and Agent Skills so external agents such as Claude and ChatGPT can interact with hirify.global reliably and securely.
  • Iterate from simple baselines to more complex solutions using production metrics and A/B tests.

Requirements

  • 5+ years of experience in Software, Data, or ML Engineering, including 1+ year building and shipping production-grade GenAI/LLM systems.
  • In-depth understanding of how LLMs work and how to extend them beyond basic text generation, including structured extraction, tool calling, and cost-aware routing.
  • Hands-on experience with agentic orchestration using LangChain or LangGraph and modern LLM APIs such as Claude, Gemini, or OpenAI.
  • Production-ready coding experience with microservices using Java and Dropwizard.
  • Experience with cloud deployments using GCP or AWS, Docker, and Kubernetes.
  • Ability to own the system from early customer discussions through production operation.

Nice to have

  • Background in classical NLP, traditional MLOps, or large-scale data engineering.
  • Familiarity with compliance, anti-fraud, KYC/AML, or fintech domains.
  • Experience shipping production RAG systems.

Culture & Benefits

  • Remote-first, trust-based work with no mandatory office days or attendance tracking.
  • Flexible working hours without a fixed 9-to-5 schedule.
  • Birthday holiday, 10 personal days, seven sick days without paperwork, and additional Christmas and New Year time off.
  • Learning opportunities, personal development plans, and coverage for role-specific events.
  • Company-provided tools and hardware, covered team offsites several times a year, and financial bonuses for marriage and welcoming a new baby.
  • Global, inclusive, open, and collaborative work environment.

Hiring process

  • TA screening.
  • Hiring Manager Interview and Technical Interview.
  • Final Interview.

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