vom 12.06.2026
You will help build and scale the core AI systems behind the product. You'll work on advanced agentic workflows, LLM orchestration, retrieval systems, and AI infrastructure that directly powers customer-facing features used every day by professionals around the world.
Tasks: Build and scale AI systems: Design, implement, and optimize core components of our agentic AI architecture with a focus on performance and reliability. Develop agentic workflows: Build on multi-agent systems using LLMs, orchestration frameworks (LangGraph), RAG, and context engineering. Ship advanced AI features: Develop innovative capabilities such as layout optimization, structured reasoning flows, and multimodal workflows. Contribute to product evolution: Collaborate closely with product and engineering teams to shape features through experimentation and rapid iteration. Drive continuous improvement: Help refine best practices for evaluation, deployment, monitoring, and scaling of AI systems in production.
Requirements: Entrepreneurial mindset with strong ownership, creative thinking, and a pragmatic approach to building and shipping solutions quickly. At least 2 years of experience building production-grade AI systems, with a strong focus on Large Language Models. Proven experience designing and delivering agentic architectures and multi-step reasoning pipelines. Hands-on experience with orchestration frameworks such as LangGraph and retrieval systems (RAG/REC). Strong understanding of prompt engineering, evaluation strategies, and LLM reliability optimization. Experience with fine-tuning LLMs or working with multimodal / visual AI models. Fluency in English, our primary business language. Availability to start on short notice.
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