Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Automation Engineer (AI/Customer Service) (Python, LLM, N8N): Building scalable automation systems for customer service, including quota processing agents, billing self-service flows, real-time LLM support agents, and integrations with internal systems with an accent on reliable workflows, API integrations, and event-driven automation. Focus on designing maintainable agents, developing N8N workflows, integrating Jira and billing APIs, and supporting planned cloud cluster operations.
Location: Remote - Europe
Company
Nebius builds a full-stack AI cloud platform for data and model training, inference, and production deployment.
What you will do
- Build agents and scripts to automate quota request processing.
- Develop self-service flows for billing and data subject request operations, including payment updates, account deletion, marketing opt-out, and invoice retrieval.
- Build and maintain LLM-powered agents that support engineers with complex tickets in real time.
- Develop N8N workflows for customer notifications and event-driven processes.
- Integrate automation with Jira API, billing API, and internal systems.
- Contribute to tooling for planned cluster operations using Terraform and runbooks, while improving existing automation as volumes grow.
Requirements
- 3+ years of software engineering experience focused on automation, backend development, or system integrations.
- Strong Python skills and hands-on experience with REST APIs and external system integrations.
- Practical experience with LLM APIs or AI agents.
- Understanding of reliable, maintainable automation systems.
- Working proficiency in English.
- Applicants must be authorized to work in the country where they apply and provide proof of employment eligibility.
Nice to have
- Experience with N8N, Temporal, or similar workflow automation tools.
- Knowledge of Jira API or other ticketing systems.
- Experience with Terraform, cloud infrastructure, Kubernetes, or containerization.
- Background in support engineering or adjacent functions.
Culture & Benefits
- Competitive compensation and career growth opportunities.
- Learning opportunities, flexibility, and ownership.
- Collaborative and innovative international environment.
- Opportunity to work on impactful AI projects with experienced engineering teams.
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