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6 дней назад

AI Engineer

Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
Georgia
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR
AI Engineer (GenAI/Voice AI): Building and scaling AI-driven applications and services across frontend and backend with an accent on generative AI, voice AI, agentic systems, RAG pipelines, and LLMOps. Focus on designing multi-agent A2A architectures, fine-tuning foundation models, developing scalable APIs and data pipelines, and optimizing production systems for latency, uptime, and scalability.

Location: Tbilisi, Georgia; hybrid work

Company

Flutter Central & Eastern Europe is a technology and product hub within hirify.global, developing scalable platforms and products for the iGaming and entertainment industry.

What you will do

  • Design, build, and maintain AI-driven applications and services across frontend and backend components.
  • Integrate generative AI, multimodal frameworks, voice AI, and conversational interfaces using STT, TTS, and real-time voice synthesis.
  • Design and deploy agentic AI systems with tool use, multi-step reasoning, A2A interactions, and multi-agent task execution.
  • Build RAG pipelines, model fine-tuning workflows, and LLMOps practices covering versioning, evaluation, monitoring, prompt management, and CI/CD.
  • Develop secure RESTful APIs, microservices, and data pipelines for real-time and batch AI applications using relational and NoSQL databases.
  • Test, monitor, optimize, and scale AI systems while collaborating with product managers, designers, and engineers across regions and mentoring junior engineers.

Requirements

  • 5+ years of experience in machine learning, NLP, or applied AI.
  • Experience with LLMs, vector databases, orchestration frameworks, RAG systems, foundation-model fine-tuning, and agentic AI architectures.
  • Hands-on experience with A2A, MPC, or multi-agent collaboration protocols and frameworks.
  • Strong Python skills and backend experience building scalable APIs and microservices.
  • Deep understanding of LLMOps, including versioning, evaluation frameworks, model observability, and CI/CD for AI/ML.
  • Experience with AWS, GCP, or Azure and secure, distributed AI infrastructure.

Nice to have

  • Familiarity with Voice AI technologies such as Whisper, Deepgram, or ElevenLabs.
  • Experience with experimentation frameworks, A/B testing, or reinforcement learning.

Culture & Benefits

  • Hybrid work environment with collaboration across the UK, EU, USA, and Australia.
  • Generous annual leave and paid sick leave.
  • Individual health insurance.
  • Paid maternity and paternity leave, plus a family reward.
  • Performance and referral bonuses.
  • Opportunities for career growth and self-development.

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