AI Engineer
Tasks
- Build data pipelines and orchestration systems
- Build production LLM applications
- Build vector based retrieval systems
- Collaborate on discovery of AI use cases
- Deploy and maintain AI services
- Design output quality measurement frameworks
- Design scalable reliable backend APIs
- Develop agent to agent workflows
- Fine-tune models
- Implement Model Context Protocol servers
- Implement observability evaluations metrics tracing logging
- Implement retrieval-augmented generation
- Manage prompt updates safely
- Run A B tests for models and prompts
Perks/Benefits
- Additional annual leave
- Discounts
- Fitness and wellness memberships
- Language apps
- Personal development budget
- Premium N26 Account Subscription
- Public transportation
- Relocation package
- Visa support
- Work from home budget
Skills/Tech-stack
A/B | A/B Testing | API Design | AWS | B testing | Backend Development | Data Pipelines | Docker | Feature Stores | Fine Tuning | Kotlin | Kubernetes | Language Models | Large Language Models | Logging | MLOps | Machine Learning | Metrics | Microservices | Model Context Protocol | Observability | Prompt engineering | Python | Retrieval-Augmented Generation | Tracing | Vector Databases
Education
N/A
Roles
AI | AI Engineer | Engineer
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