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Senior Ai Engineer (full-stack)(m/w/x)
Designing and building cloud-native AI applications with robust inference and monitoring pipelines for cutting-edge tech products. Advanced React and TypeScript experience required. High autonomy in feature ownership.
Requirements
- Pragmatic, result-oriented analytical problem solving skills
- Self-organisation, purpose-driven mindset, and collaboration
- Friendly, concise, audience-oriented communication skills
- Strong software engineering and AI skills
- Advanced experience with React and TS
- Experience designing scalable event-driven Python systems
- In-depth knowledge of frontier AI models
- Proven experience owning features end-to-end
- Understanding of AI integration into production
- Experience operating cloud-native systems
- Experience in publishing or media industry
- Experience with the entire TechStack
- Experience with MLOps on Vertex AI
- Experience applying and implementing SRE methodologies
- Advanced understanding of ML and LLMs
- Specialized, deep expertise in relevant area
Tasks
- Design and build cloud-native AI applications
- Own AI features from scoping to operation
- Integrate and optimize models for production
- Develop robust AI inference and monitoring pipelines
- Collaborate with stakeholders on technical solutions
- Maintain system reliability and manage technical debt
- Execute work within an agile team environment
- Develop short-term PoCs and long-term products
Work Experience
- approx. 4 - 6 years
Education
- Bachelor's degreeOR
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- React
- TS
- Python
- Google Cloud
- Firebase
- Vertex AI
- Weights and Biases
- CI/CD
- Infrastructure as Code
Benefits
Competitive Pay
- Competitive salary
Informal Culture
- Rockstar team
Career Advancement
- Career development opportunities
Learning & Development
- Learning and development budget
Flexible Working
- 100% fully-remote
Family Support
- Great work-life balance
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Senior Ai Engineer (full-stack)(m/w/x)
Designing and building cloud-native AI applications with robust inference and monitoring pipelines for cutting-edge tech products. Advanced React and TypeScript experience required. High autonomy in feature ownership.
Requirements
- Pragmatic, result-oriented analytical problem solving skills
- Self-organisation, purpose-driven mindset, and collaboration
- Friendly, concise, audience-oriented communication skills
- Strong software engineering and AI skills
- Advanced experience with React and TS
- Experience designing scalable event-driven Python systems
- In-depth knowledge of frontier AI models
- Proven experience owning features end-to-end
- Understanding of AI integration into production
- Experience operating cloud-native systems
- Experience in publishing or media industry
- Experience with the entire TechStack
- Experience with MLOps on Vertex AI
- Experience applying and implementing SRE methodologies
- Advanced understanding of ML and LLMs
- Specialized, deep expertise in relevant area
Tasks
- Design and build cloud-native AI applications
- Own AI features from scoping to operation
- Integrate and optimize models for production
- Develop robust AI inference and monitoring pipelines
- Collaborate with stakeholders on technical solutions
- Maintain system reliability and manage technical debt
- Execute work within an agile team environment
- Develop short-term PoCs and long-term products
Work Experience
- approx. 4 - 6 years
Education
- Bachelor's degreeOR
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- React
- TS
- Python
- Google Cloud
- Firebase
- Vertex AI
- Weights and Biases
- CI/CD
- Infrastructure as Code
Benefits
Competitive Pay
- Competitive salary
Informal Culture
- Rockstar team
Career Advancement
- Career development opportunities
Learning & Development
- Learning and development budget
Flexible Working
- 100% fully-remote
Family Support
- Great work-life balance
About the Company
CHAPTR GmbH
Industry
Media
Description
The company builds cutting-edge products and relentlessly pushes the boundaries of what is possible in technology.
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