4 Application Engineer Jobs in Salzburg
Wir möchten die Welt bewegen
- Gestaltung und kontinuierliche Weiterentwicklung eines sicheren Software Development Lifecycles (Secure SDLC)
- Beschreibung und Implementierung von Standards und Prozessen, die eine effiziente und gleichzeitig sichere Softwareentwicklung ermöglichen
- Entwicklung klarer, praxisnaher Sicherheits- und Governance-Richtlinien, die sich nahtlos in die tägliche Arbeit der Entwicklungsteams integrieren lassen
- Erstellung und Optimierung von Prozessbeschreibungen und Abläufen, um operative Risiken frühzeitig zu erkennen und gezielt zu minimieren
- Organisation und Weiterentwicklung des Enterprise Architecture Control Boards – dem zentralen Gremium zur Definition und fortlaufenden Verbesserung strategischer Architektur- und Entwicklungsstandards
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WAS SIE ERWARTET:
- Technischer Sales Support: Erarbeitung technischer Konzepte sowie Kostenabschätzungen und Angebotsvalidierung in enger Abstimmung mit Vertrieb und Kunden
- Entwicklung technischer Konzepte zusammen mit dem Systems Engineering, sowie die Anpassung von Konzepten an Kundenanforderungen und Regularien.
- Unterstützung des Produktmanagements im Hinblick auf Serialisierungspotential sowie Festlegung der strategischen Relevanz
- Teil des Projektteams in Entwicklungsprojekten – Vertretung der Anforderungen aus Applikation / Kundensicht (Requirement Management / Change Request Management)
- Breites Gesamtverständnis der PALFINGER Produkte und Module für optimale Konzeptentwicklungen
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RESPONSIBILITIES
- A degree in engineering, process engineering, or a related technical field is essential.
- At least 10 years of relevant experience in engineering-driven sustainability, with a proven track record in developing and implementing technical solutions.
- Fluent in English; German is an advantage.
- Expertise in applying technical solutions and sustainability technologies to real-world operational challenges.
- Proven ability to develop and implement engineering strategies that support sustainability goals with technically feasible solutions.
- Strong analytical skills, with the ability to interpret data and identify opportunities for improvement in sustainability practices.
- Excellent communication skills, with the ability to translate complex technical information into clear, actionable insights for stakeholders.
- Solution-oriented approach with a strong sense of responsibility and accountability.
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RESPONSIBILITIES
- Experience in user research and talking to stakeholders to bridge the gap between the problem of a user and actual AI implementation options
- Proven experience in developing AI-powered solutions, from research to production-ready implementation.
- Strong foundation in modern AI/ML frameworks, patterns and tooling, especially in Generative AI, covering concepts like prompt engineering, RAG, LLM as a judge, fine-tuning, and so on.
- Familiarity with cloud platforms (preferrable AWS) and LLMOps & MLOps pipelines for deploying and scaling AI solutions.
- Expertise in model optimization and evaluation techniques to build robust AI workflows.
- Solid skills in Python (or other relevant languages) and practical experience in applying modern software engineering patterns (like version control systems, merge requests, pair-/mob-programming, testing)
- Strong interest and basic knowledge about Agentic AI and agentic architectures
- Strong communication skills, able to explain technical solutions to non-technical audiences.
- Excellent problem-solving and analytical skills, with a proactive approach to challenges.
- Ability to work collaboratively with cross-functional teams.
- Ability to move fast in an environment where things are sometimes loosely defined and may have competing priorities or deadlines
- Enjoy owning the problems end-to-end, and are willing to pick up whatever knowledge you're missing to get the job done
- Affinity for media and broadcast domain is a plus
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