Software Engineer LLM, Data & Analytics; m​/w​/x

AI that makes complex B2B sales simple.

With Fox Base’s AI Sales Advisor platform, companies can set up their own AI Product Expert, built for the real world of enterprise and “Mittelstand” companies.

We help companies turn complex product portfolios and consultation-heavy sales into fully digital, AI-powered experiences without compromising on quality, compliance, or control.
Our platform combines retrieval-augmented generation (RAG) with proven selection, configuration, and calculation technology to deliver precise, explainable, and compliant answers, across websites, chatbots, and digital channels.

Unlike most AI tools built for big tech budgets, Fox Base empowers every company to deploy high-impact, trustworthy AI that meets GDPR and ISO 27001 standards from day one.
We make cutting-edge AI accessible, secure, and enterprise-ready - strengthening the competitiveness of Germany and Europe in the new AI era.

Who we are

Founded in Düsseldorf, we’ve grown into a fast-moving team of engineers, product minds, and builders driven by curiosity and precision.

We value speed, ownership, and quality
, but also team spirit, flexibility, and foresight, our five Fox Base core values that shape how we build, ship, and grow.

Our customers include some of Europe’s most innovative industrial and technology leaders. Together, we’re redefining what “AI-driven sales” means in highly regulated environments, combining enterprise-grade security with modern AI orchestration.

Who are we looking for

We’re looking for a Software Engineer with a strong focus on Data Engineering and Data Analytics
, who’s passionate about building production-grade AI systems. Someone who thrives on solving complex technical problems
, thinks in systems, and ships solutions that are both elegant and efficient.

This isn’t just about writing code. It’s about designing the backbone of AI systems that European enterprises can trust
.

What you’ll do

• Ship production value every week: features, improvements, and measurable fixes with predictable throughput.
• Own and improve our highly innovative and unique Retrieval-Augmented Generation (
  RAG
  ) stack – from data ingestion and indexing over retrieval optimization and quality assurance to LLM evaluation and integration.
• Create transparency by LLM-tracing and
  -logging along entire chat conversations to identify potential risks early of degrading answer quality.
• Optimize and extend our dashboard- and reporting functionalities
  , that create transparency about measurable answer accuracy, performance and value, delivered by our AI.
• Ensure high performance and reliability of our Python-based backend-services which power our API, and give our customer direct access to our AI.
• Build and optimize data pipelines that integrate data from external sources (e.g. PIM, DAM, Blob Storage, FTP Servers) and internal sources (e.g. S3, Databases, API).
• Improve our Webscraping-Technology
  , to allow easy and automated integration of website content for our customers.
• Manage AWS infrastructure using Terraform and ensure cost-efficient, secure, and highly available deployments.
• Contribute directly to quarterly OKRs with clear milestones and measurable results.
• Deliver changes with appropriate tests (unit/integration) and reduce regressions through disciplined engineering practices.
• Build with a strong product mindset: clarify the “why”, propose smart trade-offs, and iterate post-release based on outcomes.
• Collaborate with Product, Customer Success and Sales to translate real-world business complexity into scalable, maintainable solutions.
• Contribute to a team culture of transparency, low ego / high standards, and proactive unblocking.

What
you’ll
bring

• 5+ years of experience in software engineering — ideally in Python-based SaaS or AI systems.
• Deep knowledge of LLM and RAG concepts (retrieval pipelines, embeddings, prompt orchestration, evaluation).
• Implementation of concrete RAG solutions
  , beyond the usual frameworks (Lang Chain, Llama Index, Hay Stack etc.).
• Hands‑on experience with Data Visualization
  , from conceptual design to actual implementation with frameworks like Plotly.
• Experience with building and maintaining web scrapers
  ,…