NG
Senior Software Engineer – AI Platform (m/f/d)
Contract type
Ongoing
Work mode
Hybrid · Germany
Experience
Senior · Not stated
Level inferred from job title
Job description
Build the core of an AI agent platform as a backend engineer in the AI-Platform team, enabling IT service providers to automate their business with intelligent agents.
At a glance
- Work mode
- Hybrid · Germany
- Languages
- German
What you'll do
- Develop and operate the backend services of the AI agent platform as a standalone service
- Build LLM-based agent pipelines, agentic workflows and the execution engine with focus on reliability and observability
- Develop APIs, WebSockets and event-driven architectures that route events to the right agents
- Build management UIs to configure, monitor and test agents
- Shape architecture decisions and code quality (performance, scalability, system design)
- Implement scalable solutions with Product Management and Engineering in an agile team
What we're looking for
- Degree in computer science (Bachelor or Master) or comparable experience
- Several years of experience in software development on complex product systems
- Experience with agentic programming and agent-based systems
- Spring Boot / Java, ideally with Spring Security, AMQP and WebSocket
- SQL databases, ideally PostgreSQL
- Python as well as AI and web libraries
- Hands-on experience with LLM APIs and agent patterns
- Angular / TypeScript and Docker
Nice to have
- Pgvector and embedding search
- Agent frameworks such as LangGraph, Claude Agent SDK or AutoGen
- LLM observability such as Langfuse or LangSmith
- Webhook infrastructure and API gateway patterns
- Event queues such as RabbitMQ, Kafka or comparable
Your team
AI-Platform
A new, standalone platform team within NEXOWARE.
Benefits
- Reporting line to CTO / Head of Engineering
- Hybrid working with regular presence at NEXOWARE locations
- Performance-oriented compensation model
Apply
About NEXOWARE GmbH
What they value
- Take responsibility for your systems and focus on quality and impact
- Cope with ambiguity while still bringing pace
- Prototype quickly and learn from production operation
- Communicate clearly across disciplines
- Be curious about AI and help shape how it is used in enterprise software