6 дней назад
AI Engineer
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
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 , 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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