AI Engineer

TimeTac • Greater Graz
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AI Summary

We're looking for an AI Engineer to design, build and ship AI-powered capabilities across our SaaS time tracking product. You'll work across large language models, agentic systems and classical machine learning. TimeTac is a continually growing and innovative software company.

Key Highlights
Design and build LLM-powered product features
Own the full ML lifecycle for predictive features
Collaborate across software development and product to ship AI capabilities
Key Responsibilities
Design and build LLM-powered product features
Own the full ML lifecycle for predictive features
Collaborate across software development and product to ship AI capabilities
Technical Skills Required
Python Large Language Models Agentic Systems Classical Machine Learning RAG Architectures Vector Databases Retrieval Strategies Chunking Grounding Responses
Benefits & Perks
Competitive market salary
Modern office in the city center of Graz
Remote working possibility
€ 4.– food vouchers
Daily fresh organic fruit, coffee & tea
2 x per month free business brunch
Personal and professional development opportunities
Multicultural team
Fully support the relocation process & work permit
€ 300.– health budget
Initiatives for mental health
Team events and celebrations of achieved milestones
Nice to Have
Classical ML experience
Ability to explain AI systems clearly to non-technical stakeholders

Job Description


Do you want to build AI features that thousands of users interact with every day?


📍 Graz/Austria

đź•’ Full-time 38,5h/week


We're looking for an AI Engineer to design, build and ship AI-powered capabilities across our SaaS time tracking product and develop internal tools to enhance our operations. You'll work across large language models, agentic systems and classical machine learning, turning ideas into product features that work reliably in production.


TimeTac is a continually growing and innovative software company with a focus on developing and providing web-based and mobile time tracking solutions. We maintain a modern, open corporate culture with a strong vision and a great working atmosphere in which creative thinking is encouraged. The products of TimeTac are among some of the leading cloud applications in the categories of time tracking and absence planning solutions.


Your future Role

  • 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 report directly to our CTO/CPO.



Your Skills

  • At least 3 years of experience in applied AI or machine learning engineering, with hands-on experience shipping AI features to production users.
  • University degree in Computer Science, Data Science, AI, or a related field, or equivalent practical experience.
  • Solid Python skills and comfort working across the full AI development lifecycle: data, modelling, evaluation and iteration.
  • Experience with LLMs and AI APIs (OpenAI, Anthropic, or similar), including context engineering, retrieval augmentation and building production applications on top of them.
  • Familiarity with RAG architectures: vector databases, retrieval strategies, chunking, and grounding responses in structured data.
  • Classical ML experience (supervised learning, anomaly detection, time-series) is a meaningful plus.
  • 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.


This may inspire you: Our benefits

  • Modern office in the city center of Graz, incl. rooftop terrace with a view of the Schlossberg, climbing wall, table tennis, darts, putting green, etc.
  • Remote working possibility (2 days a week).
  • € 4.– food vouchers for each day in the office.
  • Daily fresh organic fruit, coffee & tea.
  • 2 x per month free business brunch in the office with free finger food and organic juices.
  • Personal and professional development opportunities.
  • Multicultural team with a great team spirit.
  • Fully support the relocation process & work permit in case you need it.
  • Latest hardware is selectable between PC and Mac.
  • € 300.– health budget per person and year for your physical fitness, e.g., Chair Shiatsu, fitness courses in the office, special equipment to promote employee health.
  • Initiatives for mental health (online and F2F counseling).
  • Changing rooms and shower facilities for those who would like to spend their break doing some sports, e.g. go for a run at the "Murradweg".
  • Team events and celebrations of achieved milestones.
  • Full support when starting your new position with an individual onboarding plan, incl. a personal buddy.


Video One Day @ TimeTac


We welcome applicants of any gender and origin to become part of the success story of our highly motivated team.


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.


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