Senior AI Software Engineer (m​/f​/d) Peter Park System GmbH

Salary: 50.000 - 80.000 € per year

• Strong backend engineering background with proficiency in Type Script and/or Python, and experience building production microservices and event-driven systems on cloud infrastructure.
• Hands-on experience designing and shipping LLM-powered or agentic systems, including multi-step tool use, retrieval, evaluation, prompt and context engineering, safety and guardrails.
• Comfort with modern AI-assisted development tools such as Claude Code, Cursor, or Copilot, and an opinion on where they help, where they dont, and how to scale their use across a team.
• Familiarity with at least one of vector and hybrid retrieval, MCP or similar agent-tool protocols, model evaluation and observability.
• Track record of taking ownership end-to-end, from talking to the business about the real problem through architecture and delivery to measuring impact and iterating.
• A pragmatic, experimental mindset, comfortable with ambiguity and able to make crisp trade-offs between accuracy, latency, cost, and time-to-market.
• Awareness of the responsible-AI dimension, including data privacy, especially GDPR and EU data residency, security, and clear human approval points where they belong.
• Naturally collaborative, able to translate complex AI concepts into language product owners, operators, developers, and execs can act on.
• Eagerness to influence beyond your own code by spotting friction in how the company works and turning it into automated, intelligent workflows.
• Fluent English;
  German is a plus, not a requirement.

• Take our agentic capabilities to the next level by designing, building, and scaling AI agents and LLM-powered systems that solve concrete problems across product, tech, operations, and the wider business.
• Set the standard for technical excellence in AI engineering by maintaining maintainable systems, sharp evaluations, GDPR-compliant data handling, and architectures built to last.
• Lead the practical adoption of AI across the company by building our in-house agentic stack and turning raw LLMs and AI agents into reliable production systems.
• Run live pilots and enable teams to safely leverage AI tools in their daily workflows.
• Apply our stack to internal knowledge management, workflow automation across departments, and AI-supported business intelligence.
• Embed LLM-powered intelligence into our core product where it strengthens our barrier-free parking platform.
• Own selected AI work streams end-to-end, from problem framing with stakeholders through architecture and implementation to deployment, measurement, and iteration.
• Propose and drive the technical roadmap for our agentic AI capabilities together with the CTO and Team Leads, and represent AI direction in cross-functional forums.
• Take ownership of major initiatives from concept to delivery and guide team members through technical challenges.
• Champion an environment where everyone keeps leveling up.

• Agentic AIAIAI AgentsAWSBackend
  
  Business IntelligenceCI/CDClaude Code Cloud Copilot CTOCursor Datadog Frontend Git Lab Io TKubernetesLLMMCPNestJSPython Security Terraform Type Script Vuemicroservices APILambdaEC2pnpm Prisma Storybook

We are building intelligence into our core products and internal operations at the intersection of robust backend engineering and advanced AI. Our work focuses on designing, scaling, and product ionizing our custom in-house agentic stack to solve real-world mobility challenges across Europe. We work with frontier LLM APIs, hybrid retrieval and vector search, MCP-based agent tooling, evaluation frameworks, and an event-driven agentic platform, alongside a Python and NestJS microservice backend, a Vue.js

frontend monorepo, AWS cloud infrastructure, Kubernetes, Terraform, Git Lab CI/CD, and Datadog monitoring. Our edge and IoT infrastructure includes thousands of distributed devices deployed across Europe. We offer a 40-hour work week, a hybrid setup with 3 days in the office and 2 days remote, a permanent contract, and a modern office in Munich, in the heart of Bavaria.last updated 31 week of 2026