• Map current-state workflows and quantify manual effort and bottlenecks • Translate findings into clear, prioritised requirements for automation delivery • Design the taxonomies and knowledge structures that power AI-enabled tools • Turn scattered documentation into structured, AI-ready knowledge bases • Audit, clean and restructure existing SOPs, policies and training content for AI consumption, including RAG knowledge bases • Establish documentation standards: format, ownership and review cadence • Work with the AI Engineer to ensure knowledge bases serve retrieval pipelines accurately • Produce SOPs, process maps and RACI documentation where needed • Support adoption with playbooks and training materials • Track realised benefits after each automation is deployed

• La risorsa sarà inserita all’interno di un progetto dedicato allo sviluppo e alla manutenzione di soluzioni di Conversational AI basate su tecnologie Microsoft. • Il ruolo prevede attività di supporto tecnico, troubleshooting e manutenzione evolutiva di chatbot già in esercizio, oltre allo sviluppo di nuove funzionalità e Change Request. • La figura contribuirà alla progettazione e implementazione di soluzioni AI avanzate, all’integrazione con sistemi enterprise e al monitoraggio delle componenti applicative, garantendo qualità, affidabilità e continuità operativa delle piattaforme conversazionali.

Role Description - Du unterstützt bei der Integration von (generativen) KI-Technologien in bestehende Anwendungssoftware oder entwickelst gemeinsam mit dem Team neue, innovative Lösungen mit KI-Komponenten. - Du unterstützt bei der Analyse und Aufbereitung von Daten speziell für (generative) KI-Use-Cases. - Du unterstützt bei der Evaluation und Optimierung von Software mit KI-Komponenten, insbesondere mit Frameworks wie LangChain, sowie durch den Einsatz von APIs wie OpenAI oder Ollama. - Du unterstützt in Cloud-nativen Entwicklungsprojekten mit Fokus auf KI-gestützte Softwarelösungen. - Du unterstützt bei der Integration und Nutzung KI-tauglicher Datenbanksysteme (z. B. relationale, Vektor-, oder Graphdatenbanken) für KI-Anwendungen. - Du recherchierst zu neuen Technologien und Methoden im Bereich (generative) KI (z. B. ModelContextProtocol, Agententechnologien und moderne KI-Integrationsframeworks). Qualifications - Du bist immatrikuliert in einem Studiengang mit KI-Inhalten und hast ein gutes Grundverständnis von Künstlicher Intelligenz. - Du besitzt praktische Kenntnisse in Python und mindestens einer weiteren modernen Anwendungsprogrammiersprache wie JavaScript (z. B. Node.js), TypeScript, Go oder Java. - Du begeisterst dich für kundenzentrierte Anwendungsentwicklung, KI und innovative Technologien. - Du bist teamfähig, kommunikativ und arbeitest eigenständig sowie strukturiert. - Du hast bereits erste Erfahrungen in der Cloud-nativen Entwicklung (z. B. mit Docker, Kubernetes) und DevOps-Praktiken (z. B. Jenkins, GitLab, GitHub) gesammelt. - Du hast Grundkenntnisse im API-Design und der Full-Stack-Softwareentwicklung. - Du hast Spaß daran, entwickelte Konzepte und Ergebnisse graphisch darzustellen und zu präsentieren. - Du möchtest für die Dauer von 3 bis 6 Monaten wertvolle Praxiserfahrung sammeln und aktiv an Projekten mitwirken. - Du verfügst über sehr gute Deutsch- und Englischkenntnisse (mind. C1 in beiden Sprachen). Benefits - Unterstützende Teamkultur: Teamzusammenhalt ist uns wichtig - wir unterstützen uns gegenseitig und pflegen eine gesunde Officekultur. Unser Eventteam plant regelmäßige Afterworks und sorgt für einen Austausch außerhalb des Arbeitsplatzes. - Schnelle Verantwortungsübernahme: Du übernimmst ab Tag 1 spannende Aufgaben mit eigener Verantwortung - egal ob auf deinem Projekt oder bei der Einbringung in interne Aufgabe - du gestaltest mit! - Klare Karrieremöglichkeiten: Bei uns findest du ein Umfeld, das dich fördert, fordert und weiterbringt. Wir haben klar definierte Karrieremöglichkeiten und ein transparentes Anforderungsmanagement an jedes Level. - Kreativer Arbeitsplatz: Wir geben dir die Freiheit und Zeit, kreative Lösungen zu entwickeln und bieten dir dafür die beste und modernste Hardware an (Apple oder Windows). - Attraktive Urlaubsregelung: Arbeite remote und passe deine Arbeitszeiten flexibel an dein Studium an.

Role Description Appfire’s AI Automation team builds intelligent workflows and internal apps supporting 300+ SaaS and cloud platforms across its global workforce. We are seeking a highly skilled AI Automation Engineer to own automation, system integrations, and data synchronisation across critical corporate systems. This role requires solid software engineering discipline, maintaining code repositories, and using AI coding assistants, AI agents, and MCP services to accelerate IT innovation. The ideal candidate enjoys experimenting with modern technologies and improving operations. - Design, build, and maintain AI-powered automations, internal tools, and integrations across corporate SaaS and cloud platforms. - Develop scripts, utilities, APIs, and lightweight applications assisted by AI tools. - Use AI coding assistants, AI agents, and MCP services to accelerate software development, automation delivery, and IT process innovation. - Build automation workflows for user onboarding, offboarding, lifecycle management, role-based access, and data synchronisation. - Build, maintain, and scale workflow automations using tools such as n8n or equivalent platforms, connecting SaaS applications, APIs, AI services, and internal systems to automate repeatable business and IT processes. - Implement and maintain integrations using REST APIs, webhooks, event-driven workflows, and serverless cloud services. - Build AI-assisted utilities and workflows that help IT teams and business stakeholders improve speed, accuracy, and operational visibility. - Identify opportunities where AI, LLMs, and workflow automation can reduce manual work, improve data quality, and increase productivity. - Create dashboards, reports, and operational insights by connecting data from different platforms through APIs and automation workflows. - Work closely with IT specialists, DevOps engineers, security, finance, and business teams to understand needs and deliver scalable automation solutions. - Explore emerging AI tools, automation frameworks, modern engineering practices, and new technologies; and help drive their adoption across IT. Qualifications - 5–7+ years of experience in Automation Engineering, Software Engineering, DevOps, SaaS Operations, IT Operations, or equivalent. - Strong scripting and automation experience using Python, PowerShell, Bash, JavaScript, or similar languages. - Experience building scripts, utilities, APIs, lightweight applications, and integrations with support from AI coding assistants. - Hands-on experience using AI tools such as OpenAI, Gemini, GitHub Copilot, Cursor, Claude, or similar to accelerate development, analysis, and problem-solving. - Familiarity with AI agents, MCP services, prompt engineering, and LLM-based automation patterns. - Experience building workflow automations using tools such as n8n, Zapier, Make, Workato, or equivalent platforms. - Experience designing, consuming, and troubleshooting REST APIs, OAuth-based integrations, webhooks, and event-driven workflows. - Hands-on experience with cloud platforms such as AWS, GCP, or Azure, including serverless services and cloud-based automation. - Excellent documentation, communication, and cross-functional collaboration skills. Benefits - Contract of Employment (indefinite). - Every Appfire team member is eligible for company equity, fostering a true sense of ownership and connection to our growth. - 26 paid vacation days annually, regardless of tenure, 12 Wellness Days (1 day per month, non-transferable), 24 hours of paid volunteer time to engage in meaningful activities outside of work. - Fully covered Luxmed private healthcare plan. You can extend coverage to your partner or opt for additional upgrades tailored to your needs. Life insurance provided by UNUM and fully paid by Appfire. - MyBenefit Platform - 150 PLN per month to spend on a Multisport card or on a variety of experiences such as shopping, restaurants, and entertainment. - Home Office Allowance - 200 PLN net per month added to your salary to support your electricity and internet costs while working remotely. - Lunch Card - 300 PLN monthly for groceries or dining out, available via a virtual pre-paid Pluxee card.