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Senior AI Product Engineer / AI Workflow Architect(m/w/x)
Designing and integrating end-to-end Python-based AI workflows with LLMs for life-saving healthcare projects. Production Python and LLM system building experience required. Relocation and work visa support provided.
Requirements
- Strong hands-on Python experience in production
- Experience building systems with LLMs
- Solid understanding of embeddings, vector databases, retrieval patterns
- Experience with prompting, evaluation, tracing, output quality control
- Ability to design robust, explainable, maintainable AI systems
- Comfort working with ERP data and Microsoft systems
- Product mindset, caring about outcomes
- High sense of ownership and responsibility
- Clear, structured communication with non-technical stakeholders
- Persistence, curiosity, and motivation to learn
- Experience integrating AI into business workflows (plus)
Tasks
- Design and implement end-to-end AI workflows
- Integrate AI workflows into business processes
- Build Python-based AI systems
- Maintain Python-based AI systems
- Work with large, heterogeneous datasets
- Design vectorization pipelines
- Manage vectorization pipelines
- Design retrieval strategies
- Manage retrieval strategies
- Trace LLM calls
- Monitor LLM calls
- Debug LLM calls
- Trace LLM prompts
- Monitor LLM prompts
- Debug LLM prompts
- Trace LLM outputs
- Monitor LLM outputs
- Debug LLM outputs
- Trace LLM failures
- Monitor LLM failures
- Debug LLM failures
- Define AI output quality standards
- Enforce AI output quality standards
- Define AI output reliability standards
- Enforce AI output reliability standards
- Define AI output evaluation standards
- Enforce AI output evaluation standards
- Collaborate with product stakeholders
- Collaborate with business stakeholders
- Collaborate with tech stakeholders
- Decide when AI is the right tool
- Document architectures
- Document trade-offs
- Document decisions
Work Experience
- approx. 4 - 6 years
Education
- Bachelor's degreeOR
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- Python
- LLMs
- OpenAI
- Azure OpenAI
- open-source models
- vector databases
- Microsoft systems
Benefits
Other Benefits
- Relocation support
- Work visa support
- Technical ownership
- Time for system quality
Learning & Development
- Language courses
Mentorship & Coaching
- Integration support
Purpose-Driven Work
- High autonomy
- Purpose-driven work
- Values-driven team
Additional Allowances
- AI experimentation budget
Informal Culture
- Flat hierarchies
- International team
- English-speaking environment
Startup Environment
- Fast decisions
- Direct stakeholder access
Parking & Commuter Benefits
- Prime city location
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Senior AI Product Engineer / AI Workflow Architect(m/w/x)
Designing and integrating end-to-end Python-based AI workflows with LLMs for life-saving healthcare projects. Production Python and LLM system building experience required. Relocation and work visa support provided.
Requirements
- Strong hands-on Python experience in production
- Experience building systems with LLMs
- Solid understanding of embeddings, vector databases, retrieval patterns
- Experience with prompting, evaluation, tracing, output quality control
- Ability to design robust, explainable, maintainable AI systems
- Comfort working with ERP data and Microsoft systems
- Product mindset, caring about outcomes
- High sense of ownership and responsibility
- Clear, structured communication with non-technical stakeholders
- Persistence, curiosity, and motivation to learn
- Experience integrating AI into business workflows (plus)
Tasks
- Design and implement end-to-end AI workflows
- Integrate AI workflows into business processes
- Build Python-based AI systems
- Maintain Python-based AI systems
- Work with large, heterogeneous datasets
- Design vectorization pipelines
- Manage vectorization pipelines
- Design retrieval strategies
- Manage retrieval strategies
- Trace LLM calls
- Monitor LLM calls
- Debug LLM calls
- Trace LLM prompts
- Monitor LLM prompts
- Debug LLM prompts
- Trace LLM outputs
- Monitor LLM outputs
- Debug LLM outputs
- Trace LLM failures
- Monitor LLM failures
- Debug LLM failures
- Define AI output quality standards
- Enforce AI output quality standards
- Define AI output reliability standards
- Enforce AI output reliability standards
- Define AI output evaluation standards
- Enforce AI output evaluation standards
- Collaborate with product stakeholders
- Collaborate with business stakeholders
- Collaborate with tech stakeholders
- Decide when AI is the right tool
- Document architectures
- Document trade-offs
- Document decisions
Work Experience
- approx. 4 - 6 years
Education
- Bachelor's degreeOR
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- Python
- LLMs
- OpenAI
- Azure OpenAI
- open-source models
- vector databases
- Microsoft systems
Benefits
Other Benefits
- Relocation support
- Work visa support
- Technical ownership
- Time for system quality
Learning & Development
- Language courses
Mentorship & Coaching
- Integration support
Purpose-Driven Work
- High autonomy
- Purpose-driven work
- Values-driven team
Additional Allowances
- AI experimentation budget
Informal Culture
- Flat hierarchies
- International team
- English-speaking environment
Startup Environment
- Fast decisions
- Direct stakeholder access
Parking & Commuter Benefits
- Prime city location
About the Company
Avomind
Industry
Healthcare
Description
Avomind is the largest network of orthodontic clinics in Europe, revolutionizing invisible orthodontics with digital processes and cutting-edge technology.
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- Flinn.ai
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