member of technical staff, product (ai agents)

senior applied ai / ml data engineer (f/m/x)

(senior) ai & generative ai engineer (all genders)

(senior) fullstack engineer (typescript) - client success platform (m/f/x)

director, it engineering - end user support

(junior) cloud site reliability engineer (network) (m/f/x)

member of technical staff, product (ai agents) Jobs in Munich

senior applied ai / ml data engineer (f/m/x) Jobs in Munich

senior software engineer

(senior) ai & generative ai engineer (all genders) Jobs in Munich

(senior) fullstack engineer (typescript) - client success platform (m/f/x) Jobs in Munich

senior ai generative ai engineer all genders

MHP – A Porsche Company

<div>
 
 Aufgaben
 
 
 
 Du begeisterst dich f&uuml;r innovative Technologien und Generative AI? Du m&ouml;chtest nicht nur Architekturen entwerfen, sondern KI-L&ouml;sungen produktiv machen, skalierbare Systeme bauen und Kunden bei der Integration moderner AI unterst&uuml;tzen? Dann werde Teil unseres Teams und gestalte mit uns die Zukunft von KI-gest&uuml;tzten Architekturen, Anwendungen und Workflows.
 
 
 Dabei warten die folgenden Aufgaben auf dich:
 
 
 
 <ul>
 <li>
 Entwurf skalierbarer KI-Architekturen: Entwicklung von performanten Architekturen und Integration von ML- und GenAI-Modellen in Kundenumgebungen (z.  SAP, CRM, Microservices)
 </li>
 <li>
 Implementierung von Pipelines &amp; Workflows: Aufbau skalierbarer Daten- und AI-Architekturen, Integration in bestehende Pipelines, (Weiter)Entwicklung von XOps-L&ouml;sungen
 </li>
 <li>
 Backend-Services &amp; Systemintegration: Entwicklung performanter Services zur Integration von Modellen in produktive Workflows und Sicherstellung reibungsloser &Uuml;berg&auml;nge zwischen Training, Deployment und Anwendung
 </li>
 <li>
 Deployment, Monitoring &amp; Optimierung: Umsetzung von Prototypen und MVPs in Cloud-Umgebungen, Performance-Optimierung und Sicherstellung von Skalierbarkeit und Security
 </li>
 <li>
 Identifikation von Use Cases: Analyse von Gesch&auml;ftsprozessen, Erkennung von Potenzialen f&uuml;r GenAI und Ableitung technischer L&ouml;sungen
 </li>
 <li>
 Projekt- und Stakeholdermanagement: Moderation von Workshops, enge Abstimmung mit interdisziplin&auml;ren Teams, internationalen Projektpartnern und Kunden
 
 
 
 </li>
 </ul>
 
 Anforderungen
 
 
 
 Um f&uuml;r deinen Weg gewappnet zu sein, hast du folgende Qualifikationen im Gep&auml;ck:
 
 
 
 <ul>
 <li>
 Abgeschlossenes Studium in Informatik, Software Engineering, Data Science oder einem vergleichbaren Bereich mit mindestens 4 Jahren Berufserfahrung idealerweise im Consulting- und (Gen)AI-Umfeld
 </li>
 <li>
 Leidenschaft f&uuml;r AI &amp; Generative AI, skalierbare Systeme, Cloud-Technologien und den Aufbau performanter AI-Infrastrukturen
 </li>
 <li>
 Expertise in Python, ML, LLMs, RAG, Cloud-Umgebungen (Azure, AWS, GCP), Docker, Kubernetes, REST APIs, CI/CD
 </li>
 <li>
 Kenntnisse in Softwarearchitektur, Cloud-native Design, MLOps und AI Security
 </li>
 <li>
 Deine Arbeitsweise ist gepr&auml;gt von Eigenverantwortung, Zielorientierung, Teamf&auml;higkeit und Hands-on-Mentalit&auml;t
 
 
 
 </li>
 </ul>
 Wissenswertes vor der Abfahrt:
 
 
 
 <ul>
 <li>
 
 Beginn:
 
 nach Vereinbarung &ndash; immer zu Beginn eines Monats
 </li>
 <li>
 
 Arbeitszeit:
 
 in Vollzeit (40h) und/oder Teilzeit m&ouml;glich; 30 Urlaubstage
 </li>
 <li>
 
 Arbeitsverh&auml;ltnis:
 
 Unbefristet
 </li>
 <li>
 Bereich: Consulting
 </li>
 <li>
 
 Sprache:
 
 sicheres Deutsch &amp; Englisch
 </li>
 <li>
 
 Flexibilit&auml;t &amp; Reisebereitschaft
 
 </li>
 <li>
 
 Sonstiges:
 
 eine g&uuml;ltige Arbeitserlaubnis; bei Bedarf k&ouml;nnen wir die Arbeitserlaubnis im Rahmen unseres Recruiting-Prozesses beantragen. Das Verfahren ben&ouml;tigt Zeit und hat Einfluss auf das Startdatum
 </li>
 </ul>
</div>

(Senior) AI & Generative AI Engineer (all genders)

<div>
 
 Aufgaben
 
 
 
 Du m&ouml;chtest die Datenstrategie unserer Kunden aktiv mitgestalten und deine
 
 Snowflake-Expertise
 
 in herausfordernde Projekte einbringen? Du &uuml;bernimmst gerne Verantwortung f&uuml;r Projekte und Teams mit Fokus auf Snowflake-Plattformen? Dann werde Teil unseres Teams und setze deine Erfahrung in spannenden Vorhaben ein &ndash; von der strategischen Architekturplanung &uuml;ber komplexe Integrationen bis hin zur Performance-Optimierung und Umsetzung moderner Governance-Konzepte.
 
 
 Dabei warten die folgenden Aufgaben auf dich:
 
 
 
 <ul>
 <li>
 Verantwortung f&uuml;r die Planung, Steuerung und erfolgreiche Umsetzung komplexer Snowflake-Implementierungs- und Migrationsprojekte
 </li>
 <li>
 Entwicklung und Einf&uuml;hrung skalierbarer Datenarchitekturen und Cloud-Integrationen unter Ber&uuml;cksichtigung von Performance, Sicherheit und Compliance
 </li>
 <li>
 Strategische Beratung von Kunden zur Optimierung ihrer Datenplattform und Definition langfristiger Plattform-Roadmaps
 </li>
 <li>
 Etablierung und Weiterentwicklung von Governance-Frameworks und Sicherheitsstandards im Snowflake-Umfeld
 </li>
 <li>
 Beratung zu Best Practices, Identifikation neuer Potenziale und Unterst&uuml;tzung beim strategischen Ausbau von Daten- und AI-L&ouml;sungen beim Kunden
 
 
 
 </li>
 </ul>
 
 Anforderungen
 
 
 
 Um f&uuml;r deinen Weg als (Senior) Manager Snowflake (all genders) gewappnet zu sein, hast du folgende Qualifikationen im Gep&auml;ck:
 
 
 
 <ul>
 <li>
 Abgeschlossenes Studium und mindestens 6 Jahre Berufserfahrung in der Beratung mit der Snowflake-Plattform in Rollen wie Data Engineer, Developer, Analyst, Data Scientist, ML Engineer oder Administrator
 </li>
 <li>
 Leidenschaft f&uuml;r Data &amp; AI-L&ouml;sungen sowie Cloud-Technologien
 </li>
 <li>
 Expertise in Snowflake (Architektur, Optimierung, Governance) best&auml;tigt durch eine SnowPro Advanced-Zertifizierung oder vergleichbare Nachweise
 </li>
 <li>
 Umfassende Erfahrung mit Datapipelines, Cloud-Plattformen sowie mit Programmiersprachen (z.B. SQL, Python)
 </li>
 <li>
 Deine Arbeitsweise ist gepr&auml;gt von analytischem Denken, pragmatischem Vorgehen, Teamf&auml;higkeit und Kundenorientierung
 
 
 
 </li>
 </ul>
 Wissenswertes vor der Abfahrt:
 
 
 
 <ul>
 <li>
 
 Beginn:
 
 nach Vereinbarung &ndash; immer zu Beginn eines Monats
 </li>
 <li>
 
 Arbeitszeit:
 
 Vollzeit (40h) und Teilzeit; 30 Urlaubstage
 </li>
 <li>
 Arbeitsvertrag: Unbefristet
 </li>
 <li>
 Bereich: Consulting
 </li>
 <li>
 
 Sprache:
 
 verhandlungssicheres Deutsch &amp; Englisch
 </li>
 <li>
 
 Flexibilit&auml;t &amp; Reisebereitschaft
 
 </li>
 </ul>
</div>

(Senior) Manager Snowflake (all genders)

NVIDIA

<div>We are looking for a Senior Software Engineer, Applied AI Systems, to build production AI / ML and agentic solutions. We need a hands-on senior engineer who can turn ambiguous technical problems into durable software systems and AI-enabled systems: agents, workflow services, APIs, data pipelines, tool integrations, evaluation and benchmarking harnesses, reference architectures, and operational tooling.
We work at the intersection of applied AI, agentic workflows, software engineering, distributed systems, performance engineering, accelerated computing, and data infrastructure. In this role, you will build AI systems as real software systems: write and review high-quality code, make architecture tradeoffs, benchmark behavior and performance, and outcomes from prototype through validation, hardening, deployment, and ongoing support. This is an opportunity to shape how production applied AI systems are built, measured, and reused inside NVIDIA!
We partner across global teams and time zones for design reviews, planning, debugging, support critical issues, and technical decision-making. We need an engineer who turns complex requirements into clear technical plans, keeps the focus on reusable software capability rather than one-off delivery, and drives execution across teams.
What you will be doing:
<ul><li>Build and own production-grade applied AI systems for NVIDIA&rsquo;s technical and solution development use cases, including agentic solutions where they materially improve the systems and softwares.</li><li>
Design and build agentic workflows and the software around them: workflow services, APIs, retrieval, MCP/A2A-style tool integrations, agent harnesses, automation, telemetry, operational controls, and human oversight.</li><li>
Design reliable services, APIs, workflow state, event-driven execution, and observability using systems such as Kafka, ClickHouse, and OTel-style patterns.</li><li>
Translate complex technical and operational requirements into clear system designs, plans, interfaces, measurable outcomes, and pragmatic technical decisions through design reviews, code reviews, and clear communication.</li><li>
Develop production software in Python and other relevant languages, with strong testing, observability, CI/CD, documentation, and operational practices.</li><li>
Build performance and benchmarking workflows for existing production solutions or products, including validation harnesses, regression tests, tracing, metrics, failure analysis, latency, throughput, reliability, resource usage, and AI/inference behavior where relevant.</li><li>
Improve standard solution patterns alongside larger applied AI systems, working with NVIDIA engineering and solution teams to codify repeated patterns, product gaps, and field lessons into APIs, services, reference architectures, playbooks, test harnesses, and shared engineering building blocks.</li><li>
Debug and support production solutions across software, infrastructure, AI models, data pipelines, inference services, and GPU-accelerated environments, turning recurring support patterns into product or platform improvements.</li></ul>
What we need to see:<ul><li>
BS, MS, or PhD in Computer Science, Engineering, AI/ML, or equivalent experience, with 5+ years of professional software engineering experience owning production systems or meaningful platform components.</li><li>
Hands-on experience with LLM, generative AI, RAG, agentic AI, MCP or intelligent AI technologies beyond simple prompting or notebooks, including tool use, retrieval, evaluation, guardrails, orchestration, or human-in-the-loop control.</li><li>
Strong Python engineering skills and practical experience with at least one additional production programming language such as C++, Go, Rust, or TypeScript.</li><li>
Demonstrated ability to develop and build distributed systems, backend services, data pipelines, workflow orchestration, APIs, or developer platforms using production environments like Kafka, ClickHouse, PostgreSQL, Redis, object storage, Kubernetes, or similar technologies.</li><li>
Strong system design and operational judgment, including reliability, latency, cost, security, privacy, scalability, debuggability, maintainability, performance analysis, benchmarking, profiling, or capacity evaluation.</li><li>
Excellent debugging and problem-solving skills across software, infrastructure, AI systems, and performance bottlenecks.</li><li>
Proven ownership of ambiguous, cross-team engineering work, with ability to collaborate with distributed teams spanning US Pacific, EMEA, and APAC timezones.</li><li>
Required : Strong written and verbal communication skills in English.</li></ul>
Ways to stand out from the crowd:
<ul><li>Experience building real-world AI implementations, agent tools, MCP-compatible modules, A2A-style bridges, agent frameworks, evaluation frameworks, or RAG systems used by real users.</li><li>
Familiarity with NVIDIA GPU, AI Software Technologies such as NVIDIA NIM, NeMo Agent Toolkit, CUDA and Agentic AI development frameworks</li><li>
Open-source contributions, technical papers, patents, conference talks, engineering blogs, or major internal engineering artifacts</li></ul>
We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.
Widely considered to be one of the technology world&rsquo;s most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. As you plan your future, see what we can offer to you and your family www.nvidiabenefits.com/</div>

Senior Software Engineer, Applied AI

Skalar

<div>Build our core AI capabilities from v1 -&gt; v10. Join the early core team of experienced entrepreneurs (scaled to millions of users, $100m+ exits). Build the future of tax &amp; accounting with AI. Build our internal AI agents, influence the AI stack, and lay the foundations for scale. Grow into leadership as we expand across countries. Above-market pay + meaningful equity.

The opportunity

How taxation, accounting and payroll work today is a pain for everyone. Still every business must do it continuously. It is the backbone that our economy runs on.

Enabled through AI, we are turning this often-painful process into a radically simple experience for our customers, so they can focus on what matters to them: growing their business.

About us

We are a team of experienced entrepreneurs who have scaled businesses to 10s of millions of users, 10s of millions in revenue, multiple countries, and 9-digit exits - and we are just getting started. We are backed by leading venture investors and expanding rapidly.

The role

As our first Senior Data Scientist, you&rsquo;ll be a core part of building the intelligence behind Skalar. We are past the initial founding phase, but we are still very, very early - meaning pretty much everything you touch will involve greenfield building. While we provide a world-class professional service to our customers, automation and AI are at our core. Your work will be the driving force behind automating complex internal tax operations (TaxOps) and building intelligent agents that offer radical simplicity to our team and our customers.
<h2 class="jobSectionHeader">
Aufgaben</h2>
<ul><li>0 1 and Beyond: Take major AI features and intelligent agents end-to-end (spec ship measure), working closely with our Business Automation Managers and Tax experts.</li>
<li>Core AI Architecture: Implement robust LLM integrations, RAG pipelines, data models, and prompt management systems; make pragmatic architecture choices with high autonomy.</li>
<li>Iterate Fast: Ship AI features fast and iterate quickly based on real user feedback from our internal operations team.</li>
<li>Leadership: Hire and mentor junior engineers (if interested); gain leadership experience as we grow.</li>
</ul>
Our tech stack (greenfield)
<ul>
<li>Prefer boring tech where it matters; innovate where it differentiates (especially in AI).</li>
<li>Current product tech stack (to evolve): TypeScript, Next.js (React), PostgreSQL. You will heavily influence our AI stack (e.g., LangChain/Vercel AI SDK, Vector DBs).</li>
<li>You&rsquo;ll have a strong influence on tech, cloud, and product choices, specifically regarding LLM integration.</li>
<li>Tooling budget for whatever makes you fast. No legacy, no yak‑shaving.</li>
</ul><h2 class="jobSectionHeader">Qualifikation</h2>
<ul><li>5+ years of software engineering experience, with a standout, recent focus on applied generative AI.</li>
<li>A bachelor&rsquo;s or master&rsquo;s degree in computer science or a related field</li>
<li>Deep hands-on experience with LLM APIs (such as OpenAI, Anthropic, Gemini), agentic frameworks, and building robust RAG pipelines.</li>
<li>Strong programming skills in Python and curiosity to learn across the stack.</li>
<li>Solid understanding of vector databases (e.g., pgvector, Pinecone) and comfort with cloud basics (AWS/GCP, Docker).</li>
<li>Very good written and verbal communication skills in English and German (min. C1)</li>
<li>You have a valid work permit to work in Germany</li>
</ul><h2 class="jobSectionHeader">Benefits</h2>
<ul><li>Unique opportunity to join a company very early which you can shape</li>
<li>Rapid growth path: Grow your career with the growing, AI-first company</li>
<li>Perfect environment to develop relevant skills in a world of AI</li>
<li>Above-market compensation + Equity package, that has the potential to drastically gain in value</li>
</ul><div><ul><li>Jump on an intro call with a recruiter</li></ul>
<ul><li>Get to know a fellow engineer, virtually or in person (up to you)</li></ul>
<ul><li>Meet our whole founding team during a final interview (in-person, ~3h, incl. live coding)</li></ul></div></div>

Senior Data Scientist (m/w/d) mit Fokus AI

recup

<div><h4 class="jobSectionHeader">DEINE MISSION</h4>
We're building the next-generation backend that powers Germany's largest reusable-packaging network - a circular-economy deposit-return system live across 17,000+ locations. It's a two-track hybrid modernisation (brown and greenfield), cloud-native, event-driven TypeScript platform that runs real-world operational logistics: partners, point-of-sale, returns, billing, and fulfillment at national scale, expanding internationally. 
 
You'll join as a (senior) engineer (all genders) with real ownership: designing, building and own core services and working directly with our technical lead and peers on architecture. This is not a ticket-taking role - you'll shape the system, not just implement against it. 
 
What you'll do: 
<ul><li>
Design, build and own core platform services: partner management, point-of-sale, billing and invoicing, returns, fulfillment, and contract management</li><li>
Build event-driven, async-heavy integrations between services and external systems -outbox patterns, queues, retries, dead-letter handling</li><li>
Help drive our international expansion</li><li>
Partner with the technical lead on architectural decisions, data modelling, and the incremental extraction of capabilities from our existing platform into the new one</li><li>
Set the engineering bar-testing, observability, and operational readiness baked in from day one</li></ul> 
Our stack:<ul><li>
Language: PHP (7.1) (current),TypeScript (Nextdirection)</li><li>
Framework: Shopware 5.3 and NestJS</li><li>
Data: Mariadb, PostgreSQL + Prisma</li><li>
Cloud: Google CloudPlatform - Cloud Run, Pub/Sub, Cloud Tasks</li><li>
AI: Claude (Code, Chat and Cowork)</li><li>
APIs: REST</li><li>
Platform: GCP</li><li>
Existing platform (you'll learn its domain): PHP / Shopware the current production system we're incrementally extracting from.</li></ul><h4 class="jobSectionHeader">
WAS DU MITBRINGST</h4><ul><li>
7&ndash;10 years of backend engineering, with deep production experience in Node.js, TypeScript and substantial hands-on NestJS in production plus ability to work with legacy PP2 (PHP) code</li><li>
Strong system design and execution - you've designed distributed, async/queue-heavy systems and shipped them, not just white-boarded them</li><li>
Solid relational data modelling and SQL (MySQL, PostgreSQL ideally)</li><li>
Comfortable owning a problem end-to-end: design, build, test, ship, operate</li>
Munich-based. This is a hybrid role: 2 days/week in our Munich office, rest remote 
<li>
</li></ul>
Working with AI coding agents (a real part of this role) 
 
We use AI coding agents (Claude Code) every day as a core part of how we build. We expect you to as well. Concretely, we're looking for someone who: 
<ul><li>
has shipped production code with an AI coding agent,</li><li>
can describe their workflow - how they spec, prompt, review, and integrate agent output,</li><li>
has informed opinions on where agents fail and how they guard against it (review discipline, tests, architectural guardrails)</li></ul>
This isn't a buzzword for us - it's how the team works, and our hiring process reflects it (below). 
Nice to have<ul><li>
Event-driven/ CQRS /outboxexperience</li><li>
Google CloudPlatform</li><li>
Migrationorlegacy-extractionexperience(incrementallyreplacinganoldersystem)</li><li>
Comfortablereadingunfamiliarorlegacycodebases</li></ul> 
How we hire<ul><li>
First Interview with People &amp; Organisation (~25 minutes) - We want to get to know you better in a first meeting and you will get to know RECUP's culture, values and vision and understand yourself better for a mutual fit</li><li>
Meet Hiring Manager (Tech Leader) (~25 minutes) - Understand the RECUP platform from a technical perspective</li><li>
Our take-home case (~55 minutes) is AI-agent-assisted by design - use your preferred agent, as you would on the job. We don't test memorized syntax; we assess engineering judgment: how you specify work, catch and correct the agent, and make architectural decisions. Expect a brief take-home plus a live pairing and design session</li><li>
Meet the Team (Tech Lead and Engineer) + live AI coding session (extension of our take-home test) (~55 minutes) - Experience working with your new team.</li><li>
Meet our Co-CEO (~25 minutes) - Gain insight into our product and business</li></ul><h4 class="jobSectionHeader">
WAS WIR BIETEN</h4><div><div><div><div><div><div><ul><li>
The opportunity to make an impact at a company that combines economic growth with real, sustainable impact</li><li>
Flexible working models (flexible hours, remote work)</li><li>
Room for development and ownership: you actively shape your area</li><li>
A personal, professional culture and open feedback culture</li><li>
A dynamic, growth-oriented environment in a scale-up phase</li><li>
Partnerships with Wellpass, Urban Sports Club, Open Up and Future Bens</li></ul>
You can find all our benefits on our jobs page.
Want to help us write reusable packaging history? 
Then we look forward to your application: send us a short, punchy cover letter and your CV via the application form. What matters to us are your skills, your experience and above all whether you identify with our values and company culture. Since we too are not entirely free from unconscious biases, we kindly ask you not to include a photo.
Where can we still improve? 
We want to become more diverse because we believe that we can only achieve our vision through diversity, and that innovation can only emerge through diversity. We therefore welcome applications from people with international backgrounds, people of all gender identities, all age groups, people of color, and people with disabilities or chronic illness.</div></div></div></div></div></div><h4 class="jobSectionHeader">
&Uuml;ber uns</h4>
Wozu gibt es RECUP? 
Wir setzen uns it aller Kraft f&uuml;r eine Zukunft ohne Einwegverpackungen ein und wollen so viele wie m&ouml;glich f&uuml;r Mehrweg begeistern. Mit ca. 20.000 Partnern sind wir Deutschlands f&uuml;hrendes Mehrwegsystem f&uuml;r die Gastronomie &ndash; und wir expandieren weiter in ganz Europa. Denn es liegt jetzt in unser aller Hand, dass unsere Umwelt und unser &Ouml;kosystem zuk&uuml;nftigen Generationen erhalten bleiben. 
 
Unsere Vision 
Unsere Vision ist es, ein nachhaltiges und zirkul&auml;res &Ouml;kosystem f&uuml;r eine Welt ohne Einweg Verpackungen zu kreieren. 
 
Hier findest Du unsere Datenschutzbelehrung.</div>

Senior Backend Engineer (all genders)

Ignite Travel

<div>Are you ready to shape the future of industrial supply chains? We are developing the definitive digital ecosystem for the construction industry. Our sophisticated B2B SaaS platform empowers suppliers, freight forwarders, and building companies to fully automate and digitize their entire order, delivery note, and invoicing cycles.
By removing manual paperwork from the equation, we help businesses drastically cut operating costs, unlock complete supply chain transparency, and seamlessly track environmental impact. We are looking for a proactive, client-facing (Senior) Solutions Engineer for Integrations to join our team from the comfort of your home office.<h2 class="jobSectionHeader">
The Role</h2>
As a (Senior) Solutions Engineer for Integrations, you will act as the crucial technical link between our rapidly expanding cloud platform and our clients' complex enterprise IT environments. In this position, you will maintain end-to-end responsibility for client integration lifecycles, serving as an expert technical consultant for our customers and a core strategic ally to our internal Product and Engineering groups.<ul><li>
Our AI-First Workflow: We firmly believe in the power of artificial intelligence. You will operate within an advanced AI-driven environment, regularly deploying next-generation AI tools to supercharge your technical output, automate workflows, and scale your professional impact.</li></ul><h2 class="jobSectionHeader">
Tasks &amp; Responsibilities</h2><ul><li>
End-to-End Ownership: Spearhead customer integration lifecycles from early technical scoping and solution architecture through to development, testing, launch, and long-term user adoption.</li><li>
Technical Analysis: Deconstruct and evaluate client software environments, data pipelines, operational processes, and integration targets to craft optimized technical blueprints.</li><li>
Solution Architecture: Design resilient integration frameworks utilizing REST APIs, webhooks, EDI protocols, file-based data transfers, third-party software, and bespoke customer workflows.</li><li>
Prototyping &amp; Building: Personally build, configure, and prototype integration elements using Python, collaborating directly with core Engineering to safely ship them to production.</li><li>
AI-Driven Development: Integrate modern AI-assisted engineering environments (e.g., Cursor, Claude, GitHub Copilot) into your daily routine to speed up architectural analysis, generate clean code, and draft documentation faster.</li><li>
Success Monitoring: Evaluate system performance and connection stability post-deployment, gather continuous client feedback, and champion ongoing product and workflow enhancements.</li></ul><h2 class="jobSectionHeader">
Your Profile</h2>
We want an analytical, collaborative, and digitally savvy technical professional who works excellently independently and enjoys solving complex architecture puzzles in a fast-paced environment.<h3 class="jobSectionHeader">
Minimum Requirements</h3><ul><li>
Core Experience: 3+ years of proven success in a customer-facing technical position (e.g., Solutions Engineer, Integration Engineer, Forward Deployed Engineer, or Sales Engineer), ideally within a fast-moving startup or scale-up.</li><li>
Language Requirements: Complete professional fluency in both German (C1+) and English (C1+) is mandatory for internal collaboration and client consulting.</li><li>
Integration Protocols: Hands-on mastery of APIs, webhooks, modern system communication architectural patterns, and system-to-system data exchange.</li><li>
Data &amp; Enterprise Systems: Comprehensive knowledge of structural EDI and XML-based data standards (such as EDIFACT, ZUGFeRD, ebInterface). Foundational experience with major enterprise ecosystems like SAP, DATEV, Microsoft Dynamics, or Sage.</li><li>
Coding Skills: Confident ability to read, interpret, and write Python code for prototyping, testing, and deployment configurations.</li><li>
AI Savvy: A deep natural affinity for AI agents and developer toolsets, backed by a track record of using them to maximize personal output.</li></ul><h3 class="jobSectionHeader">
Nice-to-Haves</h3><ul><li>
Prior exposure to the construction, logistics, or transport sectors.</li></ul><h2 class="jobSectionHeader">
Compensation &amp; Financial Framework</h2><ul><li>
Base Salary: Up to &euro;80,000 gross p.a. (depending on experience and qualifications).</li><li>
Employment Type: Full-Time, Permanent.</li><li>
Growth Potential: Seize the career-defining opportunity to shape a mature, fast-scaling B2B SaaS platform that is actively revitalizing a legacy trillion-dollar global sector.</li></ul><h2 class="jobSectionHeader">
What We Offer &amp; Corporate Culture</h2><ul><li>
Impact &amp; Autonomy: Enjoy immense creative freedom and full, end-to-end ownership of client integration strategies that directly drive our market reach.</li><li>
Home Office Setup: Complete flexibility to work 100% remotely from home, supported by regular virtual team events and offsites.</li><li>
Flat Hierarchies: Work in direct partnership with our founders and executive leadership team, benefiting from swift decision-making paths and zero red tape.</li><li>
Modern AI Stack: Benefit from an authentic AI-First philosophy. Premium tools like GitHub Copilot, Claude, and Cursor are integrated directly into your workstation setup.</li><li>
Perks &amp; Benefits: Access to an EGYM Wellpass digital membership, a comprehensive corporate benefits program, and an official company travel card.</li></ul><h2 class="jobSectionHeader">
Ready to Join the Team?</h2>
If you are eager to combine your engineering expertise with the ultimate flexibility of working from home, we want to see your application.
Select Apply Today and submit your resume, a link to your LinkedIn/GitHub profile, and your earliest potential starting date!</div>

German Speaking Senior Solutions Engineer

Venture Up

<div>
 
 
 Senior AI Engineer - Agentic Experience
 
 
 
 
 
 
 Do you want to own problems that matter, ship fast, and build AI systems that millions of people actually use? As a Senior AI Engineer on the Agentic Experience team, you'll work directly with the Co-founder and CTO to rethink how guests and hosts interact with a platform at real scale designing multi-agent systems, handling thousands of live conversations, and pushing the frontier of what's possible with LLMs in production.
 
 
 
 
 
 
 What You'll Do:
 
 
 
 🤖 Own Entire Problem Spaces: You won't be handed tickets. You'll be handed challenges &mdash; and trusted to figure out what to build, and why.
 
 
 ⚡ Ship at Agentic Speed: Use tools like Claude Code to compound your throughput and take problems from idea to production, often in days.
 
 
 🧱 Build Multi-Agent Systems: Design agents with tool calling, handoffs, and production evals that handle thousands of real conversations across WhatsApp, email, in-product chat, and beyond.
 
 
 🔍 Work at the Frontier: Push the boundaries of what's possible with LLMs in production &mdash; no playbooks, no standard processes, just first-principles thinking.
 
 
 🗣 Influence the Roadmap: Push back on what doesn't make sense. Propose what does. You'll decide what's worth building, not just how to build it.
 
 
 🔗 Stitch Systems Together: Work across Kotlin/Java, AWS, Kubernetes, PostgreSQL, DynamoDB, Redis, and the Model Context Protocol &mdash; introducing the right tool for tomorrow without hesitation.
 
 
 
 
 
 
 The Team:
 
 
 
 You'll join a small, fast-moving group inside a 200-person Engineering organisation, working on the most strategic parts of the platform's future. The team runs on ownership, ambiguity, and a genuine bias for impact over activity &mdash; with direct access to senior leadership and a mandate to move fast. If you've ever wanted to build things that matter without the overhead slowing you down, this is that team.
 
 
 
 
 
 
 What they're Looking For:
 
 
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 5+ years of backend development experience, including ownership of systems end-to-end
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 Deep fluency with AI coding tools and a clear sense of where they help and where they don't
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 A track record of shipping and running production systems
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 Strong fundamentals in systems design, reliability, and production operations
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 A product mindset &mdash; asking "what problem are we solving?" before "what should I build?"
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 Comfort with ambiguity; energised by ownership rather than direction
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 Clear communicator in code, documents, and conversation
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 The language matters less than the thinking (they mostly use Kotlin)
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 </ul>
 
 
 
 
 
 What They Offer:
 
 
 
 Competitive senior-level package and:
 
 
 💼 Hybrid working with 50% in-office collaboration time
 
 
 🌎 Up to 8 weeks per year working from other locations internationally
 
 
 📈 Meaningful equity in a profitable, fast-growing business
 
 
 🎓 Personal learning budget with a strong AI focus
 
 
 💪 Gym discounts and travel perks
 
 
 🏡 Significant discounts across the platform's own holiday rental inventory
 
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Senior AI Engineer

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