Senior AI Software Engineer (m/f/d)

Overview We are looking for a forward-thinking Senior AI Software Engineer to drive intelligence into our core products and internal operations. Sitting at the intersection of robust backend engineering and advanced AI, you will design, scale, and productionize our custom, in-house agentic stack, leveraging LLMs and event-driven microservices to solve real-world mobility challenges across Europe. We are looking for a forward-thinking Senior AI Software Engineer to drive intelligence into our core products and internal operations. Sitting at the intersection of robust backend engineering and advanced AI, you will design, scale, and productionize our custom, in-house agentic stack, leveraging LLMs and event-driven microservices to solve real-world mobility challenges across Europe. Responsibilities Take Peter Park's agentic capabilities to the next level: 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: when agents write the code, your edge is judgment - maintainable systems, sharp evaluations, GDPR-compliant data handling, and architectures built to last. Transform how we work with AI: lead the practical adoption of AI across the company by building our in-house agentic stack. You’ll turn raw LLMs and AI agents into reliable production systems, running live pilots and enabling teams to safely leverage AI tools in their daily workflows. Apply that stack where it creates measurable impact: 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 workstreams 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. Drive projects German is a plus, not a requirement. Technologies We Work With AI stack: frontier LLM APIs (Anthropic, OpenAI, Google), hybrid retrieval and vector search, MCP-based agent tooling, evaluation frameworks, and an in-house event-driven agentic platform powering automated workflows. Event-driven backend development in Python and NestJS (Microservice architecture). Frontend monorepo with Turbo, pnpm, and Storybook, primarily using Vue.js. TypeScript, BullMQ, and Prisma in an opinionated monorepo approach. Cloud infrastructure on AWS (RDS, DynamoDB, S3, Lambda, EC2, SQS). Container orchestration with Kubernetes and IaC using Terraform. CI/CD pipelines via GitLab and monitoring via Datadog. Edge