Remotery

Senior Applied AI Engineer

Posted 1 day ago

This is a fully remote position, open to applicants in Germany.

πŸ“‹ Description

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.


⛳️ Requirements

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.


🏝️ Benefits

β€’ πŸš€ Foundational Impact – Contribute to the development and scaling of JUPUS's core AI capabilities from the ground up.

β€’ πŸ”’ Technical Ownership – Engage directly with the systems that drive AI features across multiple products.

β€’ 🌱 Growth Environment – Build production AI systems at the forefront of generative AI and agentic workflows.

β€’ πŸ’Ό Leadership Visibility – Enjoy a flat hierarchy with direct access to the Head of Engineering and CTO, reporting to the AI Lead.

β€’ 🏑 Fully Remote – Experience the flexibility of working from anywhere.

β€’ πŸ’» Top Equipment – Receive a state-of-the-art MacBook along with all necessary accessories.

β€’ πŸ‹οΈ Wellbeing Perks – Benefit from an Urban Sports Club membership to support your healthy lifestyle.

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