Назад
Company hidden
1 месяц назад

Senior AI Engineer (Fintech)

Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
Bulgaria
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

Senior AI Engineer (GenAI): Transforming AI research prototypes into production-ready financial solutions with an accent on LLMs, RAG systems, and scalable AI infrastructure. Focus on designing and deploying AI-driven applications, optimizing models, and engineering effective prompts for high-impact wealth management tools.

Location: Hybrid (Sofia, Bulgaria)

Company

hirify.global is a global leader in digital assets building a new model of financial wealth.

What you will do

  • Transform AI research prototypes into production-ready solutions.
  • Design and develop AI-driven systems and applications based on business requirements.
  • Build and deploy datasets, data pipelines, and representation methods for AI tasks.
  • Perform statistical analysis, benchmarking, and model optimization.
  • Engineer effective prompts for LLM-based applications.
  • Integrate and extend existing AI libraries and frameworks.

Requirements

  • Proven experience as an AI Engineer focused on Generative AI.
  • Proficiency in Python and ML libraries such as PyTorch, Hugging Face, LlamaIndex, and Ollama.
  • Hands-on experience using LLMs via APIs (OpenAI, Anthropic, Gemini).
  • Experience with cloud platforms (AWS, GCP, Azure) and containerization (Docker, Kubernetes).
  • Proven track record of building, deploying, and scaling AI models in production environments.
  • Experience with Retrieval-Augmented Generation (RAG) systems.

Nice to have

  • Experience building and scaling Agentic Systems and familiarity with MCP Servers.
  • Familiarity with MLOps and LLMOps tools (MLflow, Kubeflow, Airflow, SageMaker).
  • Knowledge of edge AI, on-device inference, or model quantization.
  • Background in reinforcement learning, computer vision, or generative models (GANs, diffusion).
  • Contributions to open-source AI projects or research publications.

Culture & Benefits

  • Competitive remuneration package and annual performance-based bonuses.
  • Hybrid work model with scheduled home office flexibility.
  • Comprehensive Learning Hub and clear career development opportunities.
  • Wellness perks including additional health insurance, sports cards, and standing desks.
  • Office amenities: free parking, electric bikes, public transportation cards, and a well-stocked kitchen.
  • Regular department and company-wide team building events.

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 →