
Senior Applied AI Engineer
Posted 1 day ago

Posted 1 day ago
This is a fully remote position, open to applicants in Germany.
β’ Design and implement production-ready generative AI and LLM-based solutions within our product offerings.
β’ Create and develop agentic systems that automate workflows and execute multi-step tasks on the JUPUS platform.
β’ Construct and manage RAG pipelines that allow users to engage with documents and case files.
β’ Execute evaluation, testing, and observability for AI systems to guarantee reliability and ongoing enhancement.
β’ Set best practices for AI development, testing, and deployment across various products.
β’ Initially participate in AI development as a key technical contributor within a small, agile team where engineers take ownership of problems from start to finish and deploy quickly.
β’ Collaborate closely with product, design, and engineering teams to integrate AI functionalities into actual product workflows.
β’ Convert intricate AI concepts into usable product features and communicate them effectively to both technical and non-technical audiences.
β’ You must be located in the CET -2/+2 time zone for this position!
β’ A minimum of 4 years of professional experience in AI is required.
β’ Proven experience in deploying AI systems such as RAG pipelines or agentic systems in production environments.
β’ Extensive hands-on experience in building and deploying generative AI systems in live production.
β’ Strong background in RAG architectures (embeddings, retrieval, ranking).
β’ Practical experience in designing and deploying agentic systems or AI agents in production.
β’ Familiarity with LLM observability and evaluation tools (e.g., LangSmith, Langfuse) and experience in designing evaluation pipelines for LLM systems.
β’ Proficient programming skills in Python along with solid software engineering practices.
β’ Experience in designing LLM systems that go beyond simple API integrations, including retrieval pipelines, orchestration logic, and tool/agent workflows.
β’ Experience implementing AI features in actual product environments, rather than purely research or academic settings.
β’ Ability to translate contemporary AI techniques into dependable, user-oriented product functionalities.
β’ π Foundational Impact β Contribute to the development and scaling of JUPUS's core AI capabilities from the ground up.
β’ π Technical Ownership β Engage directly with the systems that drive AI features across multiple products.
β’ π± Growth Environment β Build production AI systems at the forefront of generative AI and agentic workflows.
β’ πΌ Leadership Visibility β Enjoy a flat hierarchy with direct access to the Head of Engineering and CTO, reporting to the AI Lead.
β’ π‘ Fully Remote β Experience the flexibility of working from anywhere.
β’ π» Top Equipment β Receive a state-of-the-art MacBook along with all necessary accessories.
β’ ποΈ Wellbeing Perks β Benefit from an Urban Sports Club membership to support your healthy lifestyle.
M-KOPA
BJAK
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