Назад
Company hidden
12 часов назад

Middle AI Engineer (GenAI Deployment)

Формат работы
remote (только Ukraine)
Тип работы
fulltime
Грейд
middle
Английский
b2
Страна
Ukraine
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
Middle AI Engineer (GenAI Deployment) (Azure, AWS, Docker): Productionizing and deploying GenAI agents, MCP servers, and prediction-serving APIs in client cloud environments with an accent on containerization, CI/CD, and cloud infrastructure. Focus on configuring Azure ML workspaces, troubleshooting compute capacity, implementing observability, and documenting reliable deployment architectures.

Location: Lviv, Ukraine

Company

Robots & Pencils is an applied AI engineering firm building and deploying AI co-workers and enterprise AI systems for clients across multiple industries.

What you will do

  • Productionize and deploy GenAI agents into client cloud environments, using Azure as the primary platform and AWS for selected components.
  • Own MCP server architecture and deployment, including hosting decisions, Docker-based containerization, and resilience improvements.
  • Containerize and deploy FastAPI-style prediction-serving APIs that wrap machine learning models.
  • Set up CI/CD pipelines for agent and API deployments in GitHub Enterprise.
  • Configure Azure ML workspaces, provision compute, troubleshoot quotas and capacity, and manage access.
  • Implement logging, health checks, alerting, and deployment architecture documentation.

Requirements

  • 3+ years of professional software engineering experience with hands-on exposure to AI/ML systems and generative AI development.
  • Strong software engineering fundamentals and experience with Python or a similar language.
  • Hands-on Docker and containerization experience, including designing deployment architectures from scratch.
  • Experience with Azure services such as App Service, Container Apps, and ML workspaces, and/or AWS services including EC2 and ECS.
  • Production experience deploying and operating LLM-based agents or GenAI applications.
  • Familiarity with MCP or comparable agent-tool orchestration patterns, CI/CD, GitHub Enterprise, Azure AD/SSO, and enterprise client environments.

Nice to have

  • MLOps experience with model versioning, drift monitoring, or retraining pipelines.
  • Azure SQL or data-engineering-adjacent experience.
  • Consulting or client-services experience and comfort with ambiguity and shifting scope.
  • Experience building demand-prediction models from historical data.

Culture & Benefits

  • 20 days of paid vacation and 15 days of unpaid vacation.
  • All official public holidays off and 5 paid sick days without a doctor’s certificate.
  • Medical insurance.
  • Military draft deferment and reservation support.
  • Cooperation under a gig-contract.
  • Remote-friendly and collaborative environment with cross-functional engineering, design, and strategy teams.

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 →