Senior Applied AI Engineer

New
J
JUPUSLegal tech
Location: Germany; Secondary Locations: United Kingdom, Spain, Portugal, Romania; Workplace: Remote, CET -2/+2 zoneFull-TimeSenior
Salary not disclosed
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Job Details

Experience
You must have at least 4 years of professional experience in AI
Required Skills
PythonGenerative AI

Requirements

  • Have at least 4 years of professional experience in AI.
  • Have extensive hands-on experience building and deploying generative AI systems in production.
  • Have strong experience with RAG architectures, including embeddings, retrieval, and ranking.
  • Have practical experience designing and deploying agentic systems or AI agents in production.
  • Have experience with LLM observability and evaluation tools, such as LangSmith or Langfuse, and designing evaluation pipelines for LLM systems.
  • Have strong programming skills in Python and solid software engineering practices.
  • Have experience designing LLM systems beyond simple API integrations, including retrieval pipelines, orchestration logic, and tool or agent workflows.
  • Have experience implementing AI features in real product environments, rather than purely research or academic settings.
  • Be able to translate modern AI techniques into reliable, user-facing product functionality.
  • Be located in the CET -2/+2 zone.

Responsibilities

  • Architect and implement production-ready generative AI and LLM-based solutions within the product suite.
  • Design and develop agentic systems that automate workflows and perform multi-step tasks within the JUPUS platform.
  • Build and maintain RAG pipelines that let users interact with documents and case files.
  • Implement evaluation, testing, and observability for AI systems to support reliability and continuous improvement.
  • Establish best practices for AI development, testing, and deployment across products.
  • Integrate AI capabilities into product workflows with product, design, and engineering teams.
  • Translate complex AI concepts into practical product features and explain them to technical and non-technical stakeholders.
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