Senior Applied AI Engineer

Role Overview

• Architect and implement production-ready generative AI and LLM-based solutions within our product suite
• Design and develop agentic systems that automate workflows and perform multi-step tasks within the JUPUS platform
• Build and maintain RAG pipelines enabling users to interact with documents and case files
• Implement evaluation, testing, and observability for AI systems to ensure reliability and continuous improvement
• Establish best practices for AI development, testing, and deployment across products
• Initially handle AI development hands-on as a core technical contributor within a small, fast-moving team where engineers own problems end-to-end and ship quickly
• Work closely with product, design, and engineering teams to integrate AI capabilities into real product workflows
• Translate complex AI concepts into practical product features and communicate them clearly to both technical and non-technical stakeholders

Requirements

• You must be located in the CET -2/+2 zone for this role!
• You must have at least 4 years of professional experience in AI
• You must have deployed AI systems such as RAG pipelines or agentic systems into production
• Extensive hands-on experience building and deploying generative AI systems in production
• Strong experience with RAG architectures (embeddings, retrieval, ranking)
• Practical experience designing and deploying agentic systems or AI agents in production
• Experience with LLM observability and evaluation tools (e.g., LangSmith, Langfuse) and designing evaluation pipelines for LLM systems
• Strong programming skills in Python and solid software engineering practices
• Experience designing LLM systems beyond simple API integrations, including retrieval pipelines, orchestration logic, and tool/agent workflows
• Experience implementing AI features in real product environments, not purely research or academic settings
• Ability to translate modern AI techniques into reliable, user-facing product functionality.

Tech Stack

• Python

Benefits

• 🚀 Foundational Impact – Help build and scale the core AI capabilities of JUPUS from the ground up
• 🔒 Technical Ownership – Work directly on the systems powering AI features across multiple products
• 🌱 Growth Environment – Build production AI systems at the cutting edge of generative AI and agentic workflows
• 💼 Leadership Visibility – Flat hierarchy with direct access to the Head of Engineering and CTO, reporting to the AI Lead
• 🏡 Fully Remote – Enjoy the flexibility of working from anywhere
• 💻 Top Equipment – State-of-the-art MacBook plus all the accessories you need
• 🏋️ Wellbeing Perks – Urban Sports Club membership to support your healthy lifestyle