AI Engineer
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Role details
Tech stack
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Job description
On the product side, you’ll contribute to our own AI product from early stage through to production. You’ll have real influence over architecture, features, and direction - the kind of input that only exists in a team this size., * Design and build agentic workflows - orchestration, tool use, function calling, multi-step reasoning
- Build and improve RAG pipelines end to end: chunking strategies, embeddings, retrieval, re-ranking
- Own quality: set up evaluation pipelines, measure what you ship, iterate based on data instead of intuition
- Debug across the full stack when things break in production
- Work with messy, real-world data: PDFs, scanned documents, unstructured enterprise content, * A seat at the table - in a team of this size, your input shapes the product and the company direction
- Variety: client projects keep things fresh, product work gives you long-term ownership
- Real autonomy paired with real accountability
- Participation in the company (Unternehmenswertanteile / UWAs) - we want you invested in what we’re building, literally
- Learning budget for conferences, courses, and staying current in a field that moves weekly
- Company laptop and mobile phone
- Vienna-based with real remote flexibility - no performative office time
- Salary based on the Austrian IT collective agreement (KV), with compensation adjusted to your experience and skills
Requirements
- You are curious and intrinsically motivated to create outstanding, AI-based solutions together as a team
- 2+ years of professional experience in software engineering or AI/ML development in production
- Solid experience with RAG systems and agentic architectures: you’ve built these, maintained them, and learned what breaks
- Strong Python and general software architecture skills, TypeScript is a bonus
- The ability to work independently in ambiguous situations - we’re a small team and you won’t always have a spec
- Comfort being client-facing: you can explain technical decisions to non-technical stakeholders without dumbing things down
- A learning pace that matches how fast this field moves - what you learned six months ago might not be enough anymore, * Experience with document processing: OCR, PDF extraction, structured data from unstructured sources
- Cost-conscious engineering: token budgets, caching, model routing, knowing when a smaller model is the right call
- Background in consulting or agency environments where you’ve juggled multiple projects and clients
- Familiarity with evaluation frameworks: custom evals, LLM-as-judge, systematic quality measurement
- Experience with any cloud platform (Azure, AWS, GCP) - we’re not locked to one
- German-speaking
About the company
Onefold AI is a Vienna-based AI consultancy and product company. We build custom, production-grade agentic AI systems for our clients - and we’re developing our own AI product in parallel. We’re a small, senior and experienced team with no layers, no handoffs, and no meetings that could have been messages. If you build it, you ship it, and you stand behind it.
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