Job
- Level
- Senior
- Job Field
- Data, Back End
- Employment Type
- Full Time
- Contract Type
- Permanent employment
- Location
- Munich
- Working Model
- Hybrid, Onsite
Job Summary
In this role, you will develop intelligent systems by designing and implementing an agentic architecture integrating LLMs and microservices to solve mobility challenges and optimize internal processes.
Job Technologies
Your role in the team
- 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.
- 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 & develop talent: take ownership of major initiatives from concept to delivery. As a senior engineer, you'll guide team members through technical challenges and champion an environment where everyone keeps leveling up.
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Our expectations of you
Qualifications
- Comfort with modern AI-assisted development tools (e.g., Claude Code, Cursor, Copilot) and an opinion on where they help, where they don't, and how to scale their use across a team.
- Vertrautheit mit mindestens einem der folgenden Bereiche: Vektor- und Hybrid-Retrieval, MCP oder ähnlichen Agent-Tool-Protokollen, Modellbewertung und Beobachtbarkeit.
- 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, able to make crisp trade-offs between accuracy, latency, cost, and time-to-market. You focus on momentum, with a strong willingness to pivot away from non-working approaches in favor of shipping continuous, meaningful feature iterations.
- Awareness of the responsible-AI dimension: data privacy (especially GDPR and EU data residency), security, and clear human approval points where they belong.
- Naturally collaborative: you translate complex AI concepts into language product owners, operators, developers and execs can act on, and bring people along rather than working in a corner.
- Eagerness to influence beyond your own code: spotting friction in how the company works and turning it into automated, intelligent workflows.
- Fluent English; German is a plus, not a requirement.
Experience
- Strong backend engineering background with proficiency in TypeScript 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: multi-step tool use, retrieval, evaluation, prompt and context engineering, safety and guardrails. Not just an API wrapper.
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What we offer
- Enjoy a hybrid model with 3 days in the office / 2 days remote.
- A permanent contract for long-term stability.
- Our modern office in Munich, a vibrant city in the heart of Bavaria.
- Your perks: company pension plan, corporate benefits, and JobRad bike leasing, plus, you can choose between a subsidized Deutschlandticket or an EGYM Wellpass membership.
- Your flexibility: flexible working hours and the option to work remotely from within the EU.
- Your setup: an onboarding experience that gets you up to speed right away, height-adjustable desks, and modern Apple equipment (MacBook (M4 Pro, 48GB RAM) and a 37-inch curved screen) for the perfect start from day one. Plus access to all major frontier AI models, MCP servers, and the agentic tooling you need to do your best work.
- Your well-being: a healthy energy boost with free snacks (fruit, nuts, muesli), subsidized office catering, and a weekly team lunch.
- Your fit: a lived start-up mentality in a financially secure and stable environment.
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Benefits
Health, Fitness & Fun
Topics that you deal with on the job
Job Locations
This is your employer
Peter Park System GmbH
Peter Park System GmbH, based in Munich, provides a digital platform for barrier-free parking management. The company utilizes AI-driven technologies to centrally manage parking spaces and integrate flexible payment options. With a focus on mobility solutions, it transforms traditional parking systems through modular IoT solutions.
Description
- Company Type
- Startup
- Working Model
- Hybrid, Onsite
- Industry
- Internet, IT, Telecommunication
Senior AI Software Engineer
- Location
- Munich
- Working Model
- Hybrid, Onsite
- Diversity
- Open for all genders
