Senior AI Software Engineer (mfd)
Job Location:
Monthly Salary:
Posted on:
9 days ago
Posted on:
Vacancies:
1 Vacancy
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Job Summary
Introduction:
We are looking for a forward-thinkingSenior AI Software Engineerto 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.
Our Objectives and your Role:
- Take Peter Parks 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. Youll 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 productwhere 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 capabilitiestogether 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 youll guide team members through technical challenges and champion an environment where everyone keeps leveling up.
Your Expertise Skills & Mindset:
- Strongbackend engineering backgroundwith proficiency inTypeScript and/or Python and experience buildingproduction microservicesandevent-driven systemsoncloud infrastructure.
- Hands-on experiencedesigning and shipping LLM-poweredoragentic systems: multi-step tool use retrieval evaluation prompt and context engineering safety and guardrails. Not just an API wrapper.
- Comfort withmodern AI-assisted development tools(e.g. Claude Code Cursor 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:vectorandhybrid retrievalMCPor similar agent-tool protocols model evaluation and observability.
- Track record of takingownership end-to-end: from talking to the business about the real problem through architecture and delivery to measuring impact and iterating.
- Apragmaticexperimentalmindset: 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.
- Naturallycollaborative: 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 influencebeyond your own code: spotting friction in how the company works and turning it into automated intelligent workflows.
- FluentEnglish;Germanis 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 .
- 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 & IoT Infrastructure: Thousands of distributed devices (kiosks tablets cameras) deployed across Europe.
Work Setup:
- Hours: 40 hours per week (based on trust).
- Home Office Policy:Enjoy a hybrid model with 3 days in the office / 2 days remote.
- Contract: A permanent contract for long-term stability.
- Location: Our modern office in Munich a vibrant city in the heart of Bavaria.
What We Offer:
We believe in supporting our team with an environment that fosters growth well-being and a great work-life balance.
- 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.
Our Recruiting Process:
- Initial Contact:Well get back to you within 48 hours.
- HR Interview:Discuss your experience and expectations with our HR team.
- Live Assessment:Showcase your skills in a practical technical challenge.
- Tech Challenge:Tackle a problem in a familiar context to demonstrate your technical skills and approach.
- Leadership Conversation:A deep dive into the role and expectations with a member of our technical leadership.
- On-Site Meeting:Visit our Munich office meet more of the team and experience our culture firsthand!
Ready to build the future with us
Apply today and lets make something great together.
About us
Peter Park revolutionizes parking lots by digitizing them. Our mission is to replace physical barriers with cutting-edge computer vision technology paper-based receipts with interactive touch screen terminals and traditional payment methods with smartphone integration and cloud microservices. We aim to integrate every parking lot into the digital mobility ecosystem offering a range of secondary services to optimize parking capacity utilization.
As of now Peter Park operates over 500 edge devices across Europe facilitating thousands of parking and payment transactions per hour. Our physical infrastructure relies on distributed Python and NestJS-based backend services hosted on AWS.
Required Experience:
Senior IC
About Company
Peter Park revolutionizes parking lots by digitizing them. Our mission is to replace physical barriers with cutting-edge computer vision technology, paper-based receipts with interactive touch screen terminals, and traditional payment methods with smartphone integration and cloud micr ... View more
