Senior AI Automation Engineer
⚲ Kraków
1 125 600 - 1 209 600 USD netto (B2B)
Wymagania
- n8n
- AWS
- LLMs
- Prompt Engineering
- Generative AI models and tools
- Model Context Protocol
- AI integration patterns
- Codex
Opis stanowiska
Our customer is the European online car market, serving over 30 million monthly users and present in 18 countries. We are looking for two AI Automation Engineers to join a fast-moving initiative focused on automating and scaling our internal helpdesk operations through Generative AI. In this role, you'll design, build, and maintain intelligent automation solutions that combine large language models, workflow orchestration, and cloud infrastructure - directly shaping how our internal teams get support and resolve issues faster.
This is a hands-on engineering role for someone who is comfortable moving between prompt design, workflow automation, and cloud platform engineering, and who enjoys building production-grade AI systems rather than prototypes.
Key Responsibilities:
• Design and maintain scalable GenAI solutions using N8N and AWS.
• Develop and continuously enhance clients AI helpdesk bot built on N8N.
• Collaborate with cross-functional teams (Support, IT, Engineering) to align automation solutions with business goals.
• Implement infrastructure automation, CI/CD pipelines, and observability practices to keep systems reliable and maintainable.
• Troubleshoot and resolve issues across integrated systems, ensuring smooth end-to-end automation flows.
Must Have:
• 3+ Experience with LLMs, prompt engineering, AI integration patterns, and MCPs (Model Context Protocol).
• Hands-on experience with Generative AI models and tools.
• Platform engineering experience with cloud expertise, preferably AWS.
• Practical experience with automation tools such as N8N.
• Strong troubleshooting skills and a collaborative, team-first mindset.
• Hands-on experience with Codex.
• Experience automating workflows involving Jira and Slack.
Nice to Have:
• Proficiency in infrastructure as code (CDK), Docker/Kubernetes, and CI/CD systems such as GitHub Actions.
• Experience automating workflows involving Okta and M365.
This is a hands-on engineering role for someone who is comfortable moving between prompt design, workflow automation, and cloud platform engineering, and who enjoys building production-grade AI systems rather than prototypes.
Key Responsibilities:
• Design and maintain scalable GenAI solutions using N8N and AWS.
• Develop and continuously enhance clients AI helpdesk bot built on N8N.
• Collaborate with cross-functional teams (Support, IT, Engineering) to align automation solutions with business goals.
• Implement infrastructure automation, CI/CD pipelines, and observability practices to keep systems reliable and maintainable.
• Troubleshoot and resolve issues across integrated systems, ensuring smooth end-to-end automation flows.
Must Have:
• 3+ Experience with LLMs, prompt engineering, AI integration patterns, and MCPs (Model Context Protocol).
• Hands-on experience with Generative AI models and tools.
• Platform engineering experience with cloud expertise, preferably AWS.
• Practical experience with automation tools such as N8N.
• Strong troubleshooting skills and a collaborative, team-first mindset.
• Hands-on experience with Codex.
• Experience automating workflows involving Jira and Slack.
Nice to Have:
• Proficiency in infrastructure as code (CDK), Docker/Kubernetes, and CI/CD systems such as GitHub Actions.
• Experience automating workflows involving Okta and M365.
🔍 Dekoder Ogłoszenia
🔴
fast-moving initiative focused on automating and scaling our internal helpdesk operations through Generative AI
Projekt jest prawdopodobnie w początkowej fazie rozwoju, co może oznaczać szybkie zmiany wymagań i priorytetów.
🔴
comfortable moving between prompt design, workflow automation, and cloud platform engineering
Oczekuje się od Ciebie wszechstronności i umiejętności pracy na wielu poziomach technologicznym, od tworzenia zapytań do modeli AI po zarządzanie infrastrukturą chmurową.
🟡
design, build, and maintain intelligent automation solutions
Nie tylko będziesz tworzyć nowe rozwiązania, ale także odpowiadać za ich długoterminowe utrzymanie i rozwój.
🟢
directly shaping how our internal teams get support and resolve issues faster
Twoja praca będzie miała bezpośredni wpływ na usprawnienie procesów wewnętrznych firmy.
🔴
3+ Experience with LLMs, prompt engineering, AI integration patterns, and MCPs (Model Context Protocol)
Wymagane jest konkretne doświadczenie w obszarze modeli językowych i ich integracji, przy czym 'MCPs' może być specyficznym, mniej powszechnym terminem.