AI Engineer - Remote Opportunity with Relocation Support

About the Role

Join TimeTac as an AI Engineer and help us build AI features that thousands of users interact with every day. This AI Engineer remote position allows you to design, build, and ship AI-powered capabilities across our SaaS time tracking product while developing internal tools to enhance our operations. You'll work with large language models, agentic systems, and classical machine learning, turning innovative ideas into reliable product features.

What You'll Do

• Support the team in building AI product features and developing internal tools to streamline operations.
• Design and build LLM-powered product features end-to-end, including RAG pipelines and agentic workflows.
• Own the full ML lifecycle for predictive features, from feature engineering and model selection to training and evaluation.
• Design and operate agentic systems that reason, act, and integrate with the product reliably.
• Collaborate with software development and product teams to ship AI capabilities that are understandable and trustworthy for non-technical stakeholders.
• Stay current with the rapidly evolving AI landscape and incorporate relevant new approaches into the team's toolkit.

Requirements

• At least 3 years of experience in applied AI or machine learning engineering, with hands-on experience shipping AI features to production users.
• A 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, modeling, evaluation, and iteration.
• Experience with LLMs and AI APIs (OpenAI, Anthropic, or similar), including context engineering and retrieval augmentation.
• Familiarity with RAG architectures: vector databases, retrieval strategies, and grounding responses in structured data.
• Ability to explain AI systems clearly to non-technical stakeholders.
• Very good proficiency in English, both written and spoken.

Nice to Have

• Classical ML experience (supervised learning, anomaly detection, time-series).
• Curiosity and a willingness to learn in a fast-paced environment.
• Ownership mindset: responsibility for what you build.

What We Offer

• Modern office in the city center of Graz, including a rooftop terrace with a view, climbing wall, and recreational facilities.
• Remote working possibility (2 days a week).
• €4 food vouchers for each day in the office and daily fresh organic fruit.
• Personal and professional development opportunities.
• Comprehensive relocation support and work permit assistance.
• Health budget of €300 per person per year for fitness-related expenses.
• Team events and celebrations of milestones.
• Full support during your onboarding process with a personal buddy.