обновлено 4 дня назад
Applied AI Engineer
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Applied AI Engineer (AI/LLM): Building production AI products such as assistants, chatbots, copilots, and internal automation with an accent on retrieval, prompting, fine-tuning, and end-to-end LLM pipelines. Focus on designing evaluations, running A/B tests, building usage-driven data loops, and turning model improvements into reliable production features.
Location: Worldwide; remote work within time zones from GMT-2 to GMT+5
Company
is a fintech product company building financial products and AI-enabled customer and internal business experiences.
What you will do
- Build AI-powered products from the ground up, including assistants, chatbots, copilots, and internal automation.
- Develop and own LLM pipelines end to end, covering model selection, retrieval, prompting, release, and production monitoring.
- Improve model quality through retrieval, prompting, fine-tuning, and task-specific model selection.
- Design evaluation methodologies using representative task sets, automated graders, production signals, and human review.
- Build data loops, run experiments and A/B tests, and investigate production issues.
- Partner with backend engineers, product teams, and business owners to ship scalable AI improvements.
Requirements
- Experience in a machine learning role.
- Experience with agent frameworks or tool-using LLM systems.
- Experience designing evaluations for LLM systems.
- Experience developing and launching AI products or features from scratch as an AI, ML, or data science engineer.
- Strong problem-solving skills, autonomy, ownership, and the ability to productionize research.
- English at B1 level or above required for communication with an international team.
Nice to have
- Bachelor's, master's, or PhD degree in a quantitative discipline.
- Scientific publications in machine learning, NLP, or a related field.
- Medals from mathematics, physics, or programming olympiads.
Culture & Benefits
- Innovative, collaborative, and supportive working environment with open feedback.
- Relocation support to hubs in Cyprus, Serbia, Spain, Georgia, or Kazakhstan, including assistance for employees and their families.
- Flexible work from company offices or remotely within the specified time zones.
- Healthcare coverage, 20 days of annual leave, and paid sick leave.
- Education budget for language lessons, professional training, and certifications.
- Wellness budget for mental health and fitness reimbursements.
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