AI & Data Solutions Engineer (m/f/d) (S0702)

LANCOM Systems GmbH; Germany (OH); On-site; USD 102,575 - 136,767; Full time

Benefits offered by this job

Flexible work environment

Extensive social benefits

Salary + bonus system

International projects

Job summary

Rohde & Schwarz Networks and Cybersecurity seeks an AI Data Solutions Engineer to build scalable data pipelines for AI features, own MCP integration, and drive RAG architecture within LMC. You will collaborate across teams to translate AI capabilities into shipped product features and stay at the forefront of the AI/ML landscape.

The role emphasizes cloud‑based data infrastructure, context engineering, and mentoring engineers, with remote work options and international collaboration

Qualifications

• Design and build scalable, reliable data pipelines for AI‑driven features.
• Hands‑on with MCP server design and LLM integration in SaaS.
• Design and operate Retrieval‑Augmented Generation workflows.
• Develop RESTful APIs to OpenAPI 3.0 standard.
• Knowledge of vector stores for semantic search and RAG pipelines.
• Strong SQL skills and experience with Kafka or similar brokers.
• Proficiency in Python for data engineering and AI tasks.
• Experience with WAN/LAN networking is a plus.
• Fluency required in English and German (CEFR B1/B2).

Responsibilities

• Design and build scalable data pipelines transforming telemetry into AI‑ready datasets.
• Own MCP server design and integration with LLMs as reliable data source.
• Architect and operate RAG workflows and vector store management.
• Develop and maintain microservices and RESTful APIs (OpenAPI 3.0).
• Collaborate with Architecture, UX, QA and Product to ship features.
• Evaluate new AI technologies for LMC roadmap.

Skills

Data pipeline engineering

LLM integration

RAG architecture

RESTful API design

Java / Kotlin

Spring Boot

SQL & event-driven

Python

English fluency

German proficiency

Education

Technical degree or equivalent

Tools

PostgreSQL

Kafka

OpenAPI 3.0

pgvector / Qdrant / Weaviate / Milvus

ClickHouse

Spring Boot

Job description

Notice on the company name: Since July 1, 2026, LANCOM Systems has been named Rohde & Schwarz Networks and Cybersecurity.

The LANCOM Management Cloud enables our customers to set up and monitor tens, hundreds, or thousands of LANCOM network devices. Using the latest technologies for modern cloud‑based web applications, we work in agile, cross‑functional teams to build software that makes network administrators’ lives easier.

While we embrace remote work, we continue to offer offices where we can connect in person when it’s beneficial, for example for creative brainstorming, collaborative projects, and celebrating successes together. Our flexible and family‑friendly work environment is key to building great products.

As an AI & Data Solutions Engineer you build future‑ready data pipelines for Agentic AI features. You own MCP integration, RAG architecture, and context engineering within LMC.

Responsibilities:

• design and build scalable data pipelines that transform raw device telemetry and platform data into structured, AI‑ready datasets
• own MCP server design and integration — connecting LMC to Large Language Models as a reliable, context‑aware data source
• architect and operate RAG workflows: chunking strategies, embedding models, vector store management and retrieval optimization
• develop and maintain scalable microservices and RESTful APIs (OpenAPI 3.0) supporting AI‑driven product features
• contribute to platform architecture evolution — with a focus on data infrastructure, AI integration patterns and context engineering
• evaluate and prototype agentic AI approaches (tool calling, orchestration frameworks, autonomous workflows) for LMC use cases
• review code for quality; ensure adherence to engineering standards and data reliability principles
• collaborate closely with Architecture, UX, QA and Product — translating AI capabilities into shipped product features
• keep pace with the fast‑moving AI/ML landscape; identify and assess relevant technologies for LMC's roadmap
• mentor engineers and further increase AI literacy within the tribe

Your profile:

• data pipeline engineering: Design and build scalable, reliable data pipelines for AI‑driven features — from raw device telemetry to structured, model‑ready datasets
• LLM integration & MCP: Practical experience integrating Large Language Models into SaaS products; hands‑on with Model Context Protocol (MCP) server design and implementation
• RAG architecture & context engineering: Design and operate Retrieval‑Augmented Generation workflows; hands‑on with chunking strategies, embedding models, vector stores and prompt engineering
• RESTful API design: Design, build and maintain RESTful APIs to OpenAPI 3.0 standard; deep understanding of enterprise integration patterns
• Java / Kotlin & Spring Boot: several years hands‑on with Spring Boot microservices; strong grasp of clean architecture, separation of concerns and resilient distributed systems
• SQL & event‑driven architectures — Strong SQL skills (PostgreSQL); solid experience with Kafka or comparable message brokers and event‑driven design patterns
• experience with at least one vector store (e.g. pgvector, Qdrant, Weaviate, Milvus) for semantic search and RAG pipelines
• operational knowledge of ClickHouse for high‑volume time‑series and analytics workloads
• solid Python skills for data engineering, ML pipeline scripting and AI integration tasks
• network domain knowledge: Familiarity with WAN, LAN, Switching, Wi‑Fi or Security is a plus
• fluency in English and German level B1/2 (CEFR) are required

What we have to offer:

• a place where your opinion matters and the opportunity to actively shape our product
• a flexible work environment with great teams embracing agile methods
• an attractive salary and bonus system with extensive social benefits
• diverse and challenging projects with international partners
• the unique opportunity to shape the future of Europe’s leading network solution provider
• multiple opportunities for personal education, modern equipment, sports offers, company events, job bike, and family contributions

More about the job:

Earliest start: immediately

Place of work: Homeoffice in Germany, Würselen (near Aachen), Hamburg or Karlsruhe

Apply now - we are looking forward to it!