Job
- Level
- Experienced
- Job Field
- Data
- Employment Type
- Full Time
- Contract Type
- Permanent employment
- Salary
- from 55.356 € Gross/Year
- Location
- Graz
- Working Model
- Hybrid, Onsite
Job Summary
In this role, you will develop AI-powered product features, manage the full ML lifecycle, and design agentic systems that reliably integrate into existing products.
Job Technologies
Your role in the team
- Support us in building AI product features as well as in developing internal tools to streamline operations.
- Design and build LLM-powered product features end to end: RAG pipelines, agentic workflows, context engineering and evaluation frameworks.
- Own the full ML lifecycle for predictive features: from feature engineering and model selection through to training, evaluation with measurable quality metrics and tracking real-world impact.
- Design and operate agentic systems that reason, act, and integrate with the rest of the product in a reliable and explainable manner.
- Collaborate across software development and product to ship AI capabilities that non-technical stakeholders can understand and trust.
- Stay current with the rapidly evolving AI landscape and bring relevant new approaches into the team's toolkit.
- In this role, you will report directly to our Teamlead AIDA (AI & Data Analysis).
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Our expectations of you
Education
- University degree in Computer Science, Data Science, AI, or a related field, or equivalent practical experience.
Qualifications
- Solid Python skills and comfort working across the full AI development lifecycle: data, modelling, evaluation and iteration.
- Vertrautheit mit RAG-Architekturen: Vektordatenbanken, Retrieval-Strategien, Chunking und das Fundieren von Antworten auf strukturierte Daten.
- Ability to explain AI systems clearly to non-technical stakeholders: what the model does, why it decided something and where it might fail.
- Curiosity, a willingness to learn, and comfort in a space where the tooling changes rapidly.
- Ownership mindset: You care about reliability and maintenance. You stay responsible for what you build.
- Very good proficiency in English, both written and spoken.
Experience
- At least 3 years of experience in applied AI or machine learning engineering, with hands-on experience shipping AI features to production users.
- Experience with LLMs and AI APIs (OpenAI, Anthropic, or similar), including context engineering, retrieval augmentation, and building production applications on top of them.
- Classical ML experience (supervised learning, anomaly detection, time-series) is a meaningful plus.
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What we offer
- A modern office in the city center of Graz.
- Flexible working time models.
- Mutual appreciation and respect.
- Possibility to work up to 2 days per week remotely.
- 4 € food voucher for every day in the office.
- Continuous learning culture.
- Multicultural team with great team spirit.
- Initiatives for mental and physical fitness.
- We offer a competitive market salary with a clear willingness to overpay for exceptional candidates.
- According to the applicable IT collective agreement, this position offers a minimum gross annual salary of €55,356 (ST1, standard level) for a full-time role (38.5 hours/week), based on at least three years of relevant professional experience in data engineering or a related field.
- However, we actively pay above this minimum based on your individual qualifications, experience, and the value you bring to the role.
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Benefits
Health, Fitness & Fun
Work-Life-Integration
Topics that you deal with on the job
Job Locations
This is your employer
TimeTac
Graz
TimeTac is a rapidly growing, international software company with headquarters in Graz. We have a modern, open corporate culture that prizes creativity and innovation. Our software helps to digitize and simplify timekeeping for employees all over the world.
Description
- Company Size
- 50-249 Employees
- Founding year
- 2009
- Language
- English
- Company Type
- Established Company
- Working Model
- Hybrid, Onsite
- Industry
- Internet, IT, Telecommunication
Dev Reviews
by devworkplaces.com
Total
(3 Reviews)3.9
Engineering
3.5Culture
4.0Workingconditions
4.5Career Growth
3.8
AI Engineer
- Salary
- from 55.356 € Gross/Year
- Location
- Graz
- Working Model
- Hybrid, Onsite
- Diversity
- Open for all genders
- English Only
- English only required
