NXAI
AI Solutions Architect(m/w/x)
Full-timeOn-siteExperienced
from 4,000 / month
Chemiepark Linz
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You will bridge the gap between raw data and production-ready features by building intelligent LLM systems that solve complex business problems and enhance the core product.
Requirements
- Engineering-first mindset and focus on functionality
- Strong hands-on experience writing maintainable Python
- Proficiency with Python ecosystem
- Practical understanding of modern ML techniques
- Experience implementing end-to-end ML/AI solutions
- Experience deploying AI on cloud platforms
- Familiarity with Large Language Models
- Legal authorization to work in region
Tasks
- Design and implement end-to-end AI solutions
- Build intelligent LLM-powered systems for document-heavy use cases
- Transform unstructured data into usable signals
- Integrate AI components into larger backend systems
- Improve the robustness and performance of AI features
- Monitor and iterate on production AI systems
- Collaborate with product managers to define AI capabilities
- Ship reliable AI-powered features for daily user interaction
Work Experience
approx. 4 - 6 years
Education
Bachelor's degreeORMaster's degree
Languages
English – Business Fluent
Tools & Technologies
PythonNumPyPandasPyTorchHuggingFaceAWSGCPAzureLarge Language Models (LLMs)
Benefits
Mentorship & Coaching
- •Growth mindset culture
Informal Culture
- •Transparent work environment
- •Collaborative work environment
- •Diverse work environment
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of Vertice 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.
Not a perfect match?
- NXAI
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Engineering Manager - Analytics Platform(m/w/x)
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Software Engineer (Backend / Full Stack)(m/w/x)
Full-timeOn-siteNot specifiedLinz
You will bridge the gap between raw data and production-ready features by building intelligent LLM systems that solve complex business problems and enhance the core product.
Requirements
- Engineering-first mindset and focus on functionality
- Strong hands-on experience writing maintainable Python
- Proficiency with Python ecosystem
- Practical understanding of modern ML techniques
- Experience implementing end-to-end ML/AI solutions
- Experience deploying AI on cloud platforms
- Familiarity with Large Language Models
- Legal authorization to work in region
Tasks
- Design and implement end-to-end AI solutions
- Build intelligent LLM-powered systems for document-heavy use cases
- Transform unstructured data into usable signals
- Integrate AI components into larger backend systems
- Improve the robustness and performance of AI features
- Monitor and iterate on production AI systems
- Collaborate with product managers to define AI capabilities
- Ship reliable AI-powered features for daily user interaction
Work Experience
approx. 4 - 6 years
Education
Bachelor's degreeORMaster's degree
Languages
English – Business Fluent
Tools & Technologies
PythonNumPyPandasPyTorchHuggingFaceAWSGCPAzureLarge Language Models (LLMs)
Benefits
Mentorship & Coaching
- •Growth mindset culture
Informal Culture
- •Transparent work environment
- •Collaborative work environment
- •Diverse work environment
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of Vertice 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.
About the Company
Vertice
Industry
Procurement
Description
The company builds a new way to manage SaaS and cloud spend, focusing on transparency and modern business needs.
Not a perfect match?
- NXAI
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