Tietoevry
(Senior) Data & AI Engineer(m/w/x)
Full-timeWith HomeofficeSenior
Wien, Graz, Linz, Berlin, Regensburg
from 3,954 / month
New Job?Nejo!
Your personal AI career agent
AVAvomind
Senior AI Product Engineer / AI Workflow Architect(m/w/x)
Wien
Full-timeWith Home OfficeSenior
AI/ML
Nejo AI Summary
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
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of Avomind and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.
Like this job?
BetaYour Career Agent finds similar jobs for you every day.
Not a perfect match?
- Becton, Dickinson and Company
Senior Machine Learning Engineer(m/w/x)
Full-time/Part-timeWith HomeofficeSeniorWienfrom 52,136 / year - SQUER
Senior Software Engineer - Applied AI & Data Products(m/w/x)
Full-timeWith HomeofficeSeniorWienfrom 60,000 / year - TÜV AUSTRIA Holding AG
Machine Learning Engineer(m/w/x)
Full-timeWith HomeofficeSeniorWienfrom 60,000 / year - Hostaway
Staff Backend Engineer, AI Platform(m/w/x)
Full-timeRemoteSeniorWien, Berlin
AVAvomind
Senior AI Product Engineer / AI Workflow Architect(m/w/x)
Wien
Full-timeWith Home OfficeSenior
AI/ML
Nejo AI Summary
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
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of Avomind and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.
Like this job?
BetaYour Career Agent finds similar jobs for you every day.
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.
Not a perfect match?
- Tietoevry
(Senior) Data & AI Engineer(m/w/x)
Full-timeWith HomeofficeSeniorWien, Graz, Linz, Berlin, Regensburgfrom 3,954 / month - Becton, Dickinson and Company
Senior Machine Learning Engineer(m/w/x)
Full-time/Part-timeWith HomeofficeSeniorWienfrom 52,136 / year - SQUER
Senior Software Engineer - Applied AI & Data Products(m/w/x)
Full-timeWith HomeofficeSeniorWienfrom 60,000 / year - TÜV AUSTRIA Holding AG
Machine Learning Engineer(m/w/x)
Full-timeWith HomeofficeSeniorWienfrom 60,000 / year - Hostaway
Staff Backend Engineer, AI Platform(m/w/x)
Full-timeRemoteSeniorWien, Berlin