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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
AI Automation Engineer (n8n/LLM): Designing and deploying intelligent workflows, system integrations, and AI-powered solutions for G2A.COM with an accent on process automation, REST APIs, and language model tooling. Focus on building reliable production automations, protecting sensitive data, monitoring workflow performance, and integrating tools such as Jira, Confluence, Microsoft Teams, Google Cloud, and BigQuery.
Location: Warsaw or Rzeszow, Poland, with hybrid, office-based, or remote work options.
Company
hirify.global.COM operates a global marketplace for digital entertainment, including games, software, gift cards, subscriptions, DLCs, and in-game items.
What you will do
Analyze business requirements, translate them into automation solutions, and estimate implementation effort.
Design, build, and maintain workflows in a self-hosted n8n environment, including triggers, webhooks, schedules, retries, and error handling.
Create REST API integrations with Jira, Confluence, Active Directory, Microsoft Teams, Google Cloud, and BigQuery.
Design and implement LLM-powered solutions for ticket classification and routing, summary generation, document data extraction, and AI agents using tool calling and MCP.
Develop JavaScript or Python scripts, simple microservices, and custom n8n nodes where no-code tools are insufficient.
Secure, monitor, document, and optimize automations, including credential management, personal-data protection, alerts, execution metrics, AI query costs, standards, templates, and team training.
Requirements
At least 3 years of experience in process automation, system integration, or backend development.
Experience building and maintaining production workflows in n8n or similar tools such as Make or Zapier, with an interest in further developing n8n skills.
Proficiency in at least one of Python, JavaScript, or TypeScript, with practical knowledge of JSON.
Good understanding of REST APIs and integration mechanisms, including webhooks, OAuth 2.0, API tokens, pagination, and rate limits.
Hands-on experience with language model APIs such as Claude or OpenAI, including prompt engineering, structured outputs, and tool calling.
Knowledge of reliable solution design, including error handling, idempotency, logging, and workflow testing before deployment.
Familiarity with Git, Docker, and basic Linux.
Understanding of GDPR and secure processing of sensitive data in AI-powered solutions.
Process-oriented, self-reliant, and accountable approach, including ownership from user-needs analysis through implementation and maintenance; ability to assess business impact such as time savings and error reduction.
Ability to communicate with technical and non-technical stakeholders, explain limitations, recommend suitable solutions, critically assess AI limitations, and identify when human oversight is required.
Willingness to share knowledge, document solutions, and keep automations maintainable and understandable for the wider team.
Nice to have
Experience administering Jira and Confluence, familiarity with Automation for Jira, ScriptRunner, or REST APIs in a Data Center environment, and understanding of migration challenges to Atlassian Cloud.
Familiarity with AI agents and RAG architectures, including vector databases such as Qdrant, embeddings, and the Model Context Protocol.
Experience evaluating LLM solution quality, creating test sets, measuring response quality, and protecting systems against prompt injection.
Familiarity with Microsoft Graph API and integrations with Microsoft Teams, Entra ID, Active Directory, or LDAP.
Culture & Benefits
Hybrid, office-based, remote, and flexible working options.
Work resources including a laptop and/or phone, plus ergonomic and electronic home-office equipment.
Private healthcare, MultiSport card, life insurance, Motivizer vouchers, welcome pack, and hirify.global.COM discounts.
Internal and external training, industry events, and development and well-being programs.
DEI initiatives, grassroots projects, charity events, and a supportive knowledge-sharing culture.
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