Вакансия из списка Hirify.Global
hirify.global
52 minutes ago

Senior Python Engineer (ML/AI)

Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US

Вакансия напрямую с сайта из расширенного списка "глобальных компаний для русскоязычных специалистов" - туда входят компании с восточно-европейскими корнями.

Обычно нужен английский ~B2 и локация вне РФ/РБ (и/или ИП). Может требовать VPN для доступа

Описание вакансии

Текст:
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TL;DR

Senior Python Engineer (ML/AI services): Design, build, and enhance AI services and APIs powering hirify.global products, leveraging LLMs and custom ML models with an accent on scalability and intuitive services. Focus on production deployment & integration, creating and maintaining APIs and microservices for model serving.

Company

hirify.global helps businesses globally streamline operations by connecting data, processes, applications, and experiences.

What you will do

  • Design, build, and enhance AI services and APIs powering hirify.global products, leveraging LLMs and custom ML models.
  • Develop well-architected, testable, and efficient Python code production services and experimentations.
  • Implement and improve validation, monitoring, and observability for production-grade solutions.
  • Drive the full development lifecycle: from ideation and architecture to deployment and continuous improvement.
  • Continuously evaluate and optimize existing implementations for performance, scalability, and usability.
  • Create and maintain APIs and microservices for model serving; build and maintain middleware layers integrating LLMs with existing systems.

Requirements

  • Bachelor’s or Master’s degree in Computer Science, Engineering, Information Systems, or equivalent industry experience.
  • 5+ years of experience as an ML Engineer, Data Scientist, or similar role.
  • Strong Python programming skills and hands-on experience with NLP and LLM models.
  • Proven track record of deploying and maintaining ML services in production environments.
  • Solid understanding of network protocols, API design, and experience with relational and non-relational databases.
  • LLMops/MLops experience is a strong plus.

Nice to have

  • Knowledge of agentic architectures and multi‑agent systems; experience building chat‑based agents or copilots.
  • Experience with open‑source LLM frameworks (e.g., LangChain, LlamaIndex) and vector databases.
  • Familiarity with metrics logging and monitoring stacks (Prometheus, ELK), and observability best‑practices.

Culture & Benefits

  • Flexible, trust-oriented culture that empowers everyone to take full ownership of their roles.
  • Driven by innovation and looking for team players who want to actively build company.
  • Balancing productivity with self-care.
  • Vibrant and dynamic work environment they can enjoy inside and outside of their work lives.