Senior Applied AI Engineer

JUPUS; Köln; Remote; EUR 90,000 - 130,000; Full time

Benefits offered by this job

Foundational Impact

Technical Ownership

Growth Environment

Leadership Visibility

Fully Remote

MacBook

Urban Sports Club

Job summary

JUPUS is seeking a Senior Applied AI Engineer to join our rapidly growing legal tech team. You will work on applied generative AI in production, building RAG pipelines, agentic workflows, and AI features used by lawyers.

Reporting to the AI Lead, you’ll own architecture and implementation from design to deployment, collaborating with engineering and product to ship reliable AI functionality while improving LLM infrastructure and observability.

Qualifications

• Minimum 4 years of professional AI experience.
• Extensive production experience with generative AI systems.
• Experience deploying RAG pipelines and agentic systems.
• Strong Python and software engineering practices.
• Experience with LLM observability tools and evaluation pipelines.
• Located in CET -2/+2 time zone and able to work in a fast-moving product environment.

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.
• Build and maintain RAG pipelines enabling interaction with documents and case files.
• Implement evaluation, testing, and observability to ensure reliability and continuous improvement.
• Collaborate with product, design, and engineering to ship AI features in real workflows.
• Contribute hands-on as a core technical team member in a small, fast-moving group.

Skills

Generative AI engineering

RAG architectures

Agentic systems

LLM observability

Python programming

Production deployment

Retrieval pipelines

Tool/agent workflows

Stakeholder communication

Tools

LangSmith

Langfuse

Job description

We’re seeking a driven Senior Applied 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.

Tasks

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 small, fast‑moving team where engineers own problems end‑to‑end and ship quickly

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

Requirements

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 reliable, user‑facing product functionality

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
• You must have deployed AI systems such as RAG pipelines or agentic systems into production

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

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.