Asks for

The ad says“Build and deploy AI pipelines for legal document workflows, including RAG and multi-step agentic processes.”
The ad says“AI Engineering & Development”
The ad says“Architect and deploy AI services on based cloud platforms (Azure/AWS) using containerization and CI/CD pipelines.”
The ad says“Architect and deploy AI services on based cloud platforms (Azure/AWS) using containerization and CI/CD pipelines.”
The ad says“Architect and deploy AI services on based cloud platforms (Azure/AWS) using containerization and CI/CD pipelines.”
The ad says“Architect and deploy AI services on based cloud platforms (Azure/AWS) using containerization and CI/CD pipelines.”
The ad says“Design and implement robust data pipelines for legal technology applications, covering data ingestion, cleansing, transformation, and integration from diverse enterprise systems and databases.”
The ad says“Implement security and compliance frameworks for GDPR and legal industry standards.”
The ad says“Integrate knowledge graphs and vector databases for structured reasoning and semantic search across large legal datasets.”
The ad says“Optimize performance and scalability of LLM-based systems for production environments.”
The ad says“Develop and integrate solutions with MCP servers to support advanced legal tech workflows and ensure seamless interoperability within our infrastructure.”
The ad says“You have strong coding skills (Python, Typescript and experience with knowledge graphs and vector databases.”
The ad says“Build and deploy AI pipelines for legal document workflows, including RAG and multi-step agentic processes.”
The ad says“You have strong coding skills (Python, Typescript and experience with knowledge graphs and vector databases.”
The ad says“Integrate knowledge graphs and vector databases for structured reasoning and semantic search across large legal datasets.”

This is Fieldfisher X

Legal complexity is growing rapidly – with increasing regulation and data volumes, people, businesses, and public institutions need new legal solutions to navigate this evolving landscape.

At fieldfisher X, we design and deliver scalable legal services. We’re changing how legal services are delivered – and who delivers them. A cross-functional team of data scientists, process and product experts, legal engineers, and lawyers work together to fulfil our role as an independent pillar of the legal system in Germany. We combine the capabilities of a global law firm with the entrepreneurial spirit of a startup and the technology of the 21st century.

We’re looking for pioneers who want to help us build the law firm of the future.

What You Will Gain

A dynamic work environment between a global law firm and a tech-driven startup
Continuous opportunities to grow and shape a digital-first legal business
Monthly team activities like escape rooms, go-karting, and game nights with pizza and drinks
30 vacation days per year
Access to fieldfisher X’s corporate benefits program
A collaborative, knowledge-sharing culture

Your Role

As our AI Software Engineer (m/f/d), you will design and implement next-generation legal tech solutions. You’ll work on document review and analysis, retrieval-augmented generation (RAG), knowledge graphs, and agentic workflows. This is a prototype-driven environment where you’ll build fast-paced MVPs and products as part of a cross-functional innovation team. As the dominant authority in your domain within our multidisciplinary team, you are expected to independently set the gold standard for your field and act as the definitive guide for colleagues across all teams.

Your responsibilities will include:

AI Engineering & Development

Build and deploy AI pipelines for legal document workflows, including RAG and multi-step agentic processes.
Design and implement robust data pipelines for legal technology applications, covering data ingestion, cleansing, transformation, and integration from diverse enterprise systems and databases.
Establish and maintain automated data workflow processes to uphold high standards of data quality, consistency, and regulatory compliance throughout the entire data lifecycle.
Integrate knowledge graphs and vector databases for structured reasoning and semantic search across large legal datasets.
Optimize performance and scalability of LLM-based systems for production environments.
Develop and integrate solutions with MCP servers to support advanced legal tech workflows and ensure seamless interoperability within our infrastructure.
Collaborate with legal engineers and product teams to turn complex requirements into working prototypes.

Cloud Architecture & Compliance

Architect and deploy AI services on based cloud platforms (Azure/AWS) using containerization and CI/CD pipelines.
Implement security and compliance frameworks for GDPR and legal industry standards.
Monitor and maintain system reliability through automated testing and observability tools.

About You

You have several years of experience in roles of a similar nature.
You have a can-do attitude and thrive on turning ideas into reality.
You don’t just identify problems. You own solutions.
You have experience in AI/ML engineering and building AI-powered products.
You’re familiar with generative AI technologies, RAG architectures, and cloud deployment.
You have strong coding skills (Python, Typescript and experience with knowledge graphs and vector databases.
You enjoy working in interdisciplinary teams and taking ownership of outcomes.

Not a 100% match? No problem. We value initiative and are always looking for exciting personalities. You might be the perfect fit for this or another role.

Show us who you are!
Send your application including CV, salary expectations, and earliest possible start date.