Your personal AI career agent
AI Engineer - Graduate Program(m/w/x)
Building cloud-native AI applications from concept to production. Technical expertise in AI or software engineering required. Flexible remote-first setup, long-term career opportunities.
Requirements
- Curiosity and drive
- Interest in AI and software engineering
- Eagerness to apply skills in business context
- Strong academic background in relevant field or equivalent practical experience
- Technical expertise in data science, AI, or software engineering
- Ability to read code in type-safe programming language
- Solid understanding of version control (Git)
- Solid understanding of collaborative workflows
- Strong critical thinking and problem-solving skills
- Ability to navigate ambiguity
- Structured and pragmatic approach to complex challenges
- High level of ownership and accountability
- Collaborative mindset
- Willingness to contribute to team success
- Clear and structured communication
- Curiosity for technology and state of the art
- Foundation in software engineering
- Foundation in programming
- Foundation in cloud architectures
- Foundation in common design patterns
- Understanding of AI concepts
- Understanding of AI practical applications
- Understanding of AI limitations in business contexts
- Initial hands-on experience in AI, data analysis, or digital product development
- Initial hands-on experience with our tech stack
Tasks
- Deliver AI-powered features end-to-end
- Design and build cloud-native, event-driven AI applications
- Evaluate and optimize AI models for production
- Build and maintain robust AI inference solutions
- Collaborate with product and design teams
- Identify and address business requirements
- Operate and improve production systems
- Ensure reliability and quality of systems
- Manage technical debt
- Stay updated on AI developments
- Contribute to toolset and workflow improvements
Work Experience
- approx. 1 - 4 years
Education
- Compulsory education
Languages
- English – Native
Tools & Technologies
- Git
- AI
- Data Science
- Software Engineering
Benefits
Career Advancement
- Long-term career opportunities
Mentorship & Coaching
- Mentoring and personalized development
Learning & Development
- Tailored learning opportunities
- Learning-focused environment
Flexible Working
- Flexible remote-first setup
- On-site work option
- Work-life balance
Informal Culture
- Supportive work culture
Not a perfect match?
- Netconomy GmbHFull-timeWith HomeofficeExperiencedBerlin, Dortmundfrom 53,802 / year
- Nelly
Junior AI Engineer(m/w/x)
Full-timeWith HomeofficeJuniorBerlin - Flank
AI Engineer(m/w/x)
Full-timeRemoteExperiencedBerlin - CHAPTR GmbH
Senior Ai Engineer (full-stack)(m/w/x)
Full-timeRemoteSeniorBerlin - IMAP GmbH
AI Engineer(m/w/x)
Full-time/Part-timeWith HomeofficeJuniorDüsseldorf, Berlin
AI Engineer - Graduate Program(m/w/x)
Building cloud-native AI applications from concept to production. Technical expertise in AI or software engineering required. Flexible remote-first setup, long-term career opportunities.
Requirements
- Curiosity and drive
- Interest in AI and software engineering
- Eagerness to apply skills in business context
- Strong academic background in relevant field or equivalent practical experience
- Technical expertise in data science, AI, or software engineering
- Ability to read code in type-safe programming language
- Solid understanding of version control (Git)
- Solid understanding of collaborative workflows
- Strong critical thinking and problem-solving skills
- Ability to navigate ambiguity
- Structured and pragmatic approach to complex challenges
- High level of ownership and accountability
- Collaborative mindset
- Willingness to contribute to team success
- Clear and structured communication
- Curiosity for technology and state of the art
- Foundation in software engineering
- Foundation in programming
- Foundation in cloud architectures
- Foundation in common design patterns
- Understanding of AI concepts
- Understanding of AI practical applications
- Understanding of AI limitations in business contexts
- Initial hands-on experience in AI, data analysis, or digital product development
- Initial hands-on experience with our tech stack
Tasks
- Deliver AI-powered features end-to-end
- Design and build cloud-native, event-driven AI applications
- Evaluate and optimize AI models for production
- Build and maintain robust AI inference solutions
- Collaborate with product and design teams
- Identify and address business requirements
- Operate and improve production systems
- Ensure reliability and quality of systems
- Manage technical debt
- Stay updated on AI developments
- Contribute to toolset and workflow improvements
Work Experience
- approx. 1 - 4 years
Education
- Compulsory education
Languages
- English – Native
Tools & Technologies
- Git
- AI
- Data Science
- Software Engineering
Benefits
Career Advancement
- Long-term career opportunities
Mentorship & Coaching
- Mentoring and personalized development
Learning & Development
- Tailored learning opportunities
- Learning-focused environment
Flexible Working
- Flexible remote-first setup
- On-site work option
- Work-life balance
Informal Culture
- Supportive work culture
About the Company
Holtzbrinck
Industry
Media
Description
Das Unternehmen setzt sich für Vielfalt und Inklusion ein und fördert ein inklusives Arbeitsumfeld.
Not a perfect match?
- Netconomy GmbH
AI Engineer(m/w/x)
Full-timeWith HomeofficeExperiencedBerlin, Dortmundfrom 53,802 / year - Nelly
Junior AI Engineer(m/w/x)
Full-timeWith HomeofficeJuniorBerlin - Flank
AI Engineer(m/w/x)
Full-timeRemoteExperiencedBerlin - CHAPTR GmbH
Senior Ai Engineer (full-stack)(m/w/x)
Full-timeRemoteSeniorBerlin - IMAP GmbH
AI Engineer(m/w/x)
Full-time/Part-timeWith HomeofficeJuniorDüsseldorf, Berlin