Job
- Level
- Erfahren
- Job Feld
- Data
- Anstellung
- Vollzeit
- Vertragsart
- Unbefristetes Dienstverhältnis
- Gehalt
- ab 55.356 € Brutto/Jahr
- Ort
- Graz
- Arbeitsmodell
- Hybrid, Onsite
Job Zusammenfassung
In dieser Position entwickelst du KI-gestützte Produktfunktionen, kümmerst dich um das gesamte ML-Lifecycle-Management und gestaltest agentic Systeme, die zuverlässig in bestehende Produkte integriert werden.
Job Technologien
Deine Rolle im 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 way.
- 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).
Unsere Erwartungen an dich
Ausbildung
- University degree in Computer Science, Data Science, AI, or a related field, or equivalent practical experience.
Qualifikationen
- Solid Python skills and comfort working across the full AI development lifecycle: data, modelling, evaluation and iteration.
- Familiarity with RAG architectures: vector databases, retrieval strategies, chunking, and grounding responses in structured data.
- 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 fast.
- Ownership mindset: You care about reliability and maintenance. You stay responsible for what you build.
- Very good proficiency in English, both written and spoken.
Erfahrung
- 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.
Unser Angebot
- 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, Regelstufe) 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.
Benefits
Gesundheit, Fitness & Fun
- 🎳Team Events
- 👨🏻🎓Paten- & Mentor- Programm
- ⚽️Tischkicker o. Ä.
- 🧠Psychische Gesundheitsv.
- ♿️Barrierefreiheit
Work-Life-Integration
Themen mit denen du dich im Job beschäftigst
Job Standorte
Das ist dein Arbeitgeber
TimeTac
Graz
TimeTac ist ein schnell wachsender, internationaler Softwarekonzern mit Hauptsitz in Graz. Wir leben eine moderne, offene Unternehmenskultur mit starker gemeinsamer Vision und Arbeitsatmosphäre, in der kreatives und innovatives Denken gefördert wird. Mit unserer Software digitalisieren und vereinfachen wir die Zeiterfassung für MitarbeiterInnen weltweit.
Description
- Unternehmensgröße
- 50-249 Employees
- Gründungsjahr
- 2009
- Sprachen
- Englisch
- Unternehmenstyp
- Etablierte Firma
- Arbeitsmodell
- Hybrid, Onsite
- Branche
- Internet, IT, Telekom
Dev Reviews
by devworkplaces.com
Gesamt
(3 Bewertungen)3.9
Engineering
3.5Culture
4.0Workingconditions
4.5Career Growth
3.8
AI Engineer
- Gehalt
- ab 55.356 € Brutto/Jahr
- Ort
- Graz
- Arbeitsmodell
- Hybrid, Onsite
- Diversität
- Für alle Personen geeignet (m/w/d)
- Nur Englisch
- Nur Englisch erforderlich
