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- Aufgaben: Design and develop innovative AI projects to solve complex problems.
- Arbeitgeber: Join a forward-thinking company focused on cutting-edge AI solutions.
- Mitarbeitervorteile: Enjoy opportunities for growth, collaboration, and working with the latest technologies.
- Warum dieser Job: Be part of a dynamic team that values creativity and innovation in AI development.
- Gewünschte Qualifikationen: Solid software development background with experience in generative AI and programming languages like Python.
- Andere Informationen: Fluent German and good English skills are required; remote work options may be available.
Das voraussichtliche Gehalt liegt zwischen 48000 - 84000 € pro Jahr.
- Taking Responsibility: You will design and develop innovative AI projects that solve complex problems.
- Holistic Support: You will oversee the entire lifecycle of AI applications—from evaluation and conception to development, deployment, and production operation.
- Software Development: You will follow standard software development practices (version control, testing, DevOps), program conversational user interfaces, provide APIs for integration, and connect with other APIs.
- Use Case Evaluation: You will identify and assess new AI use cases and integrate them into existing business processes.
- Teamwork: You will collaborate closely with data scientists, data engineers, and software developers to develop and scale AI solutions.
- Optimization: You will evaluate and optimize existing AI models in terms of performance, scalability, accuracy, and security.
- Many Opportunities: You will have the chance to expand your expertise and apply your knowledge to various areas in projects. For example, if you’re interested in infrastructure, you can contribute to optimizing cloud or on-premises infrastructure for AI workloads to ensure cost efficiency.
Your Profile
- You have a solid background in software development and practical experience in generative AI, machine learning, or data-driven projects.
- You are proficient in programming languages such as Python, Java, TypeScript, and Go, and have experience with REST APIs and databases.
- You understand generative AI methodologies such as RAG, fine-tuning, agents, reasoning workflows, and more.
- You plan architecture and software with foresight to ensure automation, stability, and maintainability.
- Knowledge of cloud technologies (Azure or AWS), data science, Kubernetes, or front-end development is an advantage.
- You are highly technically inclined, enjoy independently diving into new technologies and tasks, and are eager to share your knowledge with colleagues.
- You are a team player with strong communication skills.
- Fluent German and good English skills complete your profile.
#J-18808-Ljbffr
AI Software Engineer (all genders) Arbeitgeber: PRODYNA AG
Kontaktperson:
PRODYNA AG HR Team
StudySmarter Bewerbungstipps 🤫
So bekommst du den Job: AI Software Engineer (all genders)
✨Tip Number 1
Make sure to showcase your experience with generative AI and machine learning in your conversations. Highlight specific projects where you've successfully implemented these technologies, as this will demonstrate your practical knowledge and problem-solving skills.
✨Tip Number 2
Familiarize yourself with the latest trends in AI and cloud technologies like Azure or AWS. Being able to discuss recent advancements or tools in these areas can set you apart during interviews and show your commitment to staying updated.
✨Tip Number 3
Prepare to discuss your approach to software development practices, especially around version control and testing. Sharing your experiences with DevOps methodologies can illustrate your ability to oversee the entire lifecycle of AI applications.
✨Tip Number 4
Emphasize your teamwork and communication skills. Be ready to provide examples of how you've collaborated with data scientists and engineers in the past, as this role requires close collaboration to develop and scale AI solutions effectively.
Diese Fähigkeiten machen dich zur top Bewerber*in für die Stelle: AI Software Engineer (all genders)
Tipps für deine Bewerbung 🫡
Understand the Job Requirements: Make sure to thoroughly read the job description. Highlight the key responsibilities and required skills, such as experience in generative AI, programming languages, and cloud technologies. Tailor your application to reflect how your background aligns with these requirements.
Showcase Your Technical Skills: In your CV and cover letter, emphasize your proficiency in relevant programming languages like Python, Java, TypeScript, and Go. Provide specific examples of projects where you have applied these skills, especially in AI or machine learning contexts.
Highlight Team Collaboration: Since teamwork is crucial for this role, include examples of past experiences where you collaborated with data scientists, engineers, or other developers. Describe how you contributed to the success of a project through effective communication and teamwork.
Craft a Compelling Cover Letter: Write a personalized cover letter that not only outlines your qualifications but also expresses your enthusiasm for the role. Mention your eagerness to tackle complex problems and your interest in expanding your expertise in AI technologies.
Wie du dich auf ein Vorstellungsgespräch bei PRODYNA AG vorbereitest
✨Showcase Your AI Knowledge
Be prepared to discuss your experience with generative AI and machine learning. Highlight specific projects where you've applied these technologies, and be ready to explain the methodologies you used, such as RAG or fine-tuning.
✨Demonstrate Software Development Skills
Since the role requires solid software development practices, make sure to talk about your proficiency in programming languages like Python, Java, TypeScript, and Go. Discuss your experience with version control, testing, and DevOps practices.
✨Emphasize Team Collaboration
This position involves working closely with data scientists and engineers. Share examples of how you've successfully collaborated in a team setting, focusing on communication and problem-solving skills.
✨Prepare for Use Case Evaluation
Be ready to discuss how you identify and assess new AI use cases. Think of examples where you've integrated AI solutions into existing business processes and how you optimized them for performance and scalability.
