Senior Applied AI Engineer
Jupus
ColognePosted Discovered via the company's careers siteMatch locked
RemoteFull Time4+ years expEngineering
About the role
We're seeking a driven
AI Engineer
to join one of the fastest-growing legal tech companies in Europe as we expand our core AI team.
This role focuses on
applied generative AI in a production environment
- building systems such as RAG pipelines, agentic workflows, and AI features used directly by lawyers.
Reporting to the AI Lead
, you'll work hands-on from architecture to implementation, collaborating with the Head of Engineering and product teams to ship reliable AI functionality while improving our LLM infrastructure, observability, and evaluation workflows.
For an engineer with
practical experience building and deploying generative AI systems
, this is an opportunity to create real product impact and help shape how AI evolves across the company.
Your Challenge and Opportunity in This Role
You'll help define how AI is built and shipped in a fast-moving product environment. As a core AI Engineer, you'll turn modern generative AI techniques into production-ready systems that deliver real value to users.
You will contribute to capabilities such as
document understanding, document generation, and conversational interfaces over legal case files.
Expect strong technical ownership, fast iteration, and a clear focus on building practical AI systems that improve productivity for law firms.
AI Strategy & Implementation
- 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
Cross-functional Collaboration
- 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
Technical Expertise
- 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
Other 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
•
🚀 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
If you're passionate about building practical AI systems, shipping agentic workflows, and creating real impact for users through generative AI, we'd love to hear from you.
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Skills
artificial-intelligencegenerative-aillmragpython
Who can apply
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