member of technical staff, product (ai agents)

(senior) software engineer - robotic applications

ai software engineer - internship (f/m/d)

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

(senior) engineer, software ivv test & integration, iris2

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

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

(senior) software engineer - robotic applications Jobs in Munich

ai engineer (m/w/d)

ai software engineer (f/m/d) Jobs in Munich

ai software engineer (f/m/d)

ai software engineer - internship (f/m/d) Jobs in Munich

applied ai engineer

techtree

<p>About the Role</p><p>A leading frontier AI company is looking for an <b>Applied AI Engineer</b> to join their Solutions team in Munich.</p><p>This is a customer-facing technical role, but the balance is heavily technical: roughly 20% involves presales support, onboarding, and client guidance - the other 80% is designing, developing, and deploying AI solutions for B2B enterprise clients.</p><p>Your stakeholders are technical. You won't be simplifying things for non-technical audiences - you'll be working directly with data scientists, software engineers, and CTOs on complex, high-impact implementations.</p><p>This is not a consultancy role. You'll operate with the mindset of a startup CTO embedded in a world-class AI team: owning projects end-to-end, shipping working solutions, and collaborating closely with researchers and product engineers on the company's most challenging customer problems.</p><p>What You'll Do</p><ul><li>Deploy AI solutions into production across various industries, delivering measurable business impact</li><li>Build state-of-the-art GenAI applications - from consumer products to industrial use cases</li><li>Develop complex implementations involving fine-tuning, advanced RAG pipelines, agentic workflows, and custom LLM applications</li><li>Participate in presales calls to understand client needs and provide technical guidance</li><li>Collaborate with researchers and product engineers on the team's most demanding customer projects</li><li>Feed customer insights back into product and model development</li></ul><p>How the Team Works</p><ul><li>What matters is what you ship, not the time you spend on it</li><li>No bureaucracy - you talk to whoever you need to, the best idea wins</li><li>Low ego, high standards; direct, honest feedback</li><li>Unstructured environment where people find joy in ambiguity</li></ul><p>About You</p><ul><li>Fluent in English and <b>German</b> (required for this Munich-based role)</li><li>2+ years as a technical individual contributor (data scientist or software engineer) on AI-based products</li><li>Proven experience implementing AI/ML products with APIs, back-end and front-end interfaces</li><li>Hands-on experience with fine-tuning LLMs, advanced RAG, or agentic use cases</li><li>Deep understanding of machine learning concepts and the algorithms underlying LLMs</li><li>Strong Python coding skills</li><li>Able to explain complex technical concepts clearly to technical audiences</li></ul><p>Nice to Have</p><ul><li>Open-source contributions, especially in the LLM space</li><li>Prior experience as a Customer Engineer, Forward Deployed Engineer, Solutions Architect, or Technical PM</li><li>Experience with PyTorch and deep learning</li></ul><p>Compensation</p><ul><li>Base salary + equity</li></ul><p>Job Type: Full-time</p><p>Pay: 61.504,42&euro; per year</p><p>Application Question(s):</p><ul><li>Cover letter</li><li>Expected Salary</li></ul><p>Work Location: In person</p>

Applied AI Engineer

Skalar

<div><p>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.</p>
<p><b>
The opportunity</b></p>
<p>
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.</p>
<p>
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.</p>
<p><b>
About us</b></p>
<p>
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.</p>
<p><b>
The role</b></p>
<p>
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.</p>
<h2 class="jobSectionHeader"><b>
Aufgaben</b></h2>
<ul><li><b>0 </b><b> 1 and Beyond:</b> 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><b>Core AI Architecture:</b> Implement robust LLM integrations, RAG pipelines, data models, and prompt management systems; make pragmatic architecture choices with high autonomy.</li>
<li><b>Iterate Fast:</b> Ship AI features fast and iterate quickly based on real user feedback from our internal operations team.</li>
<li><b>Leadership:</b> Hire and mentor junior engineers (if interested); gain leadership experience as we grow.</li>
</ul>
<p><b>Our tech stack (greenfield)</b></p>
<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"><b>Qualifikation</b></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"><b>Benefits</b></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

Siemens

<div><div><p><b>Transform the everyday</b></p></div><div><div><div><div><p>
Siemens builds the systems the physical world runs on: factories, power grids, buildings, trains, hospitals. Industrial and physical AI is a major opportunity in applied AI, and one of the harder ones to get right. There is a generation of AI-powered products to build.</p><p>
We are an applied science organization building the science behind them. The work sits at the intersection of machine learning research, real world data, and production systems running in industrial environments.</p><p>
As Principal Applied Scientist, you lead the science on a major capability area inside the pod. You take ambiguous problems through hypothesis, method selection, experimentation, and into models that run in production. You are hands on with the modeling, and you are accountable for the rigor and the outcome.</p><p>
This is a senior individual contributor role. You will work in close partnership with engineers and product managers who turn your work into product.</p><div><b>
As part of our team, you will have</b></div></div></div><p></p><ul><li>
An attractive remuneration package</li><li>
Appealing Siemens pension benefits</li><li>
Access to employee share plans</li><li>
30 days of paid vacation and a variety of flexible work schedules that allow time off for you and your family</li><li>
2 to 3 days of mobile working per week as a global standard</li><li>
Up tp 30 days workation per year in certain countries</li></ul>
Since each of over 300,000 team members feels that other benefits are particularly important, and we cannot list our entire benefit portfolio here, you can find more information here.<br>
<br>
<p>The individual benefits are subject to regulatory, contractual, or corporate conditions.</p><p>
Y<b>ou&rsquo;ll make an impact by</b></p><ul><li>
Own one or more scientific capability areas end to end, for example perception, computer vision, language and agents, time series, control, planning, or evaluation</li><li>
Take problems from ambiguous product or system requirements through clear research questions, hypotheses, and success metrics</li><li>
Lead applied research projects: literature review, method selection, experimentation, ablation, error analysis, and productization</li><li>
Build and run the evaluation pipelines for the work you own: offline metrics, online experiments, robustness testing in industrial conditions</li><li>
Work with engineers to take models into production grade pipelines: data readiness, training infrastructure, inference, observability</li><li>
Make scientific tradeoffs in front of engineers and product managers, with evidence, and translate them into decisions the team can act on</li><li>
Identify and de-risk scaling challenges in your area: data quality, model drift, latency, throughput, cost, safety</li><li>
Raise the bar on experimentation rigor, reproducibility, and documentation across the team</li><li>
Apply responsible AI practices in your work: bias detection, model risk management, human in the loop controls</li></ul></div></div><div><div><p><b>
This how you'll win us over</b></p><ul><li>
Education</li><li><ul><li>
Master&acute;s degree or an equivalent qualification in Computer Science, Machine Learning, or a related field</li></ul></li><li>
Experience &amp; Skills</li><li><ul><li>
8+ years in applied machine learning, AI research, or data science, with models that shipped to production and made an impact</li><li>
Strong foundation in machine learning theory and practice across training, evaluation, and deployment</li><li>
Demonstrated experience taking research from a paper or prototype into a model that runs reliably in production</li><li>
Proficiency in Python and modern ML frameworks and toolchains</li><li>
Strong partnership track record with engineering teams on data, training infrastructure, and inference</li><li>
Clear written and verbal communication with engineers, product managers, and senior leaders</li></ul></li><li>
Preferred Qualifications:</li><li><ul><li>
Experience applying ML in industrial or physical domains: manufacturing, automation, robotics, energy, mobility, infrastructure, healthcare</li><li>
Deep expertise in one of: multimodal ML, generative AI, retrieval augmented generation, agentic workflows, time series, control, or planning</li><li>
Scientific ML for physical systems: surrogate modeling, operator learning, physics-informed ML, geometry-aware ML, differentiable simulation, AI for semiconductor/EDA</li><li>
Hands-on experience building evaluation pipelines, running online experiments, or instrumenting production monitoring for a model you owned</li><li>
Publications, patents, open source contributions, or significant internal technology transfers</li><li>
Experience mentoring more junior scientists and engineers</li><li>
Experience working with globally distributed research, product, or engineering organizations</li></ul></li><li>
Ways of working: You operate with high autonomy, lead scientific excellence, and collaborate closely across engineering and product teams</li><li>
Languages: business proficiency in English</li></ul><div>
You are much more than your qualifications, and we believe in the potential of every single candidate. We look forward to getting to know you!</div></div></div><p></p><div><div><p><br>
Your individual personality and perspective are important to us. We create a working environment that reflects the diversity of the society and support you in your personal and professional development. Let&rsquo;s get to know your authentic personality and create a better future together with us. As an equal-opportunity employer we are happy to consider applications from individuals with disabilities.</p><p><b>
About us</b></p><p>
To transform the everyday, you need to think outside the box. That&rsquo;s why we at Siemens are looking for innovators who aren&rsquo;t afraid to push boundaries to join our diverse team of tech experts. Got what it takes? Then help us create lasting, positive change!</p><p>
www.siemens.de/careers &ndash; if you would like to find out more about jobs &amp; careers at Siemens.
</p><p>FAQ &ndash; if you need further information on the application process.</p></div></div></div><div></div>

Principal Applied Scientist (f/m/d)

NVIDIA

<div>
 NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It&rsquo;s a unique legacy of innovation that&rsquo;s fueled by great technology&mdash;and amazing people. Today, we&rsquo;re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what&rsquo;s never been done before takes vision, innovation, and the world&rsquo;s best talent. As an NVIDIAN, you&rsquo;ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world.
 <br/>
 <br/>
 We are seeking an engineering leader to drive the next evolution of employee digital interaction across EMEA. As the leader of End User Support Engineering at EMEA IT, NVIDIA, you will sit at the intersection of IT infrastructure, Support, agentic AI, and engineering excellence &mdash; owning the full lifecycle of how employees across the region experience technology. This is not a traditional IT support leadership role. You will build and lead a team of engineers who support productivity of employees in the region and globally. In addition, you will design, automate, and continuously improve the employee productivity through scalable engineering practices, AI workflows, and a deep commitment to operational reliability.
 <br/>
 <br/>
 <strong>
  What You Will Be Doing
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   In this engineering leader role, you will define and carry out an engineering roadmap for EMEA end user support. The roadmap will match the global IT strategy and business priorities.
  </li>
  <li>
   Lead the strategy and execution for embedding agentic AI into IT support workflows &mdash; from intelligent triage and self-healing systems to fully autonomous resolution pipelines. Partner with AI/ML teams to design, deploy, and iterate on AI agents that reduce ticket volume, accelerate resolution, and proactively prevent issues before employees notice them.
  </li>
  <li>
   Lead with a product outlook: treat the employee technology experience as a product, with critical metrics, iteration cycles, and continuous improvement loops. Identify friction points in the employee technology journey and engineer solutions that measurably improve experience, satisfaction, and productivity.
  </li>
  <li>
   Build and develop a high-performing, geographically distributed engineering team across EMEA; mentor engineers and engineering managers at all levels.
  </li>
  <li>
   Define and own EMEA-specific objectives and key results, SLAs, and engineering KPIs for end user support; report progress to senior leadership with clarity and accountability.
  </li>
  <li>
   Build trusted relationships with regional business leaders, HR, Legal, and Workplace teams to align IT engineering investments to workforce needs. Represent EMEA as an engineering site leader, influencing global IT decisions with regional context and data-informed insights.
  </li>
  <li>
   Act as the incident response leader for EMEA, ensuring continuous site operations and health, driving global incident response and resolution, and ensuring platform reliability through proactive monitoring, automation, and incident response frameworks aligned to enterprise SLAs.
  </li>
  <li>
   Demonstrate excellent leadership and communication skills, with a proven history of building positive relationships with the business and enabling successful outcomes.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  What We Need To See
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   12+ overall years of experience in IT engineering, infrastructure, or end user technology, with at least 6 years in people management or engineering leadership roles.
  </li>
  <li>
   Demonstrated track record of leading engineering teams at scale in complex, multi-country or multi-regional environments &mdash; EMEA experience strongly preferred.
  </li>
  <li>
   Hands-on background in systems/infrastructure engineering: strong prior individual contributor experience in at least one area (endpoint engineering, network, identity, cloud platforms, or automation).
  </li>
  <li>
   Proven experience in crafting and deploying AI-powered workflows involving AI/ML operations concepts. Skilled in creating timely instructions and agentic workflow build within an IT or engineering context.
  </li>
  <li>
   Experience with observability and monitoring platforms (Datadog, Splunk, Grafana, or similar) applied to IT operations.
  </li>
  <li>
   Minimum of a BSc degree in Computer Science, Information Technology, Engineering, or a related technical field. Advanced degree (MSc/PhD) is preferred.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Ways to stand out from the crowd
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Strong engineering approach with deep expertise in scalable platform architecture, automation, observability, reliability engineering, and modern operational practices including data-informed operations and AI-assisted service delivery.
  </li>
  <li>
   Demonstrated expertise in SRE and platform reliability principles
   <br/>
   <br/>
  </li>
 </ul>
 NVIDIA has continuously reinvented itself over two decades. Our invention of the GPU in 1999 fuelled the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI &mdash; the next era of computing. Nvidia is a &ldquo;learning machine&rdquo; that constantly evolves by adapting to new opportunities that are hard to tackle, that only we can pursue, and that matter to the world. This is our life&rsquo;s work, to amplify creativity and intelligence. Make the choice to join us today.
 <br/>
 <br/>
 , , JR2019170
 <br/>
 <br/>
</div>


Director, IT Engineering - End User Support

BMW Group

<div><div><p><b>INNOVATION IS IMAGINING WHAT NO ONE ELSE CAN.</b></p><p></p><p><br>
At the BMW Group, everything starts with passion. It turns a profession into a vocation. It drives us to keep reinventing mobility and bring innovative ideas onto the roads. Enthusiasm for joint projects turns a team into a strong unit where every opinion is valued. It is only when expertise, highly professional processes and enjoyment of work unite that we can shape the future together.</p><br>
</div><p></p><div><p>With our team you collaborate with experienced AI architects and engineers to build and evolve AI platform architecture, powering Android-based infotainment and large-scale vehicle software systems.</p><p><b>
What awaits you?</b></p><ul><li>
You design and own end-to-end AI and data architectures &ndash; from data ingestion and feature pipelines to model deployment and monitoring &ndash; with a strong focus on production-grade edge AI inside the vehicle.</li><li>
Furthermore, you build scalable platform architectures that serve multiple feature teams across the Android ecosystem (e.g. digital cockpits, infotainment features), enabling them to deliver AI-powered customer experiences reliably and at scale.</li><li>
You provide technical leadership for Android Automotive and its ecosystem, ensuring that AI platform decisions align with Android evolution, AOSP constraints, and long-term platform scalability.</li><li>
In addition, you define and evolve clear interfaces between AI platforms, Android infotainment, and application development &ndash; staying compatible with new Android versions while keeping the AI infrastructure adaptable and future-proof.</li><li>
You translate emerging AI requirements into production-ready platform capabilities, bridging applied research, platform engineering, and product needs.</li><li>
You continuously drive the AI strategy for infotainment platforms, tracking key technology trends (e.g. on-device LLMs/VLMs, multimodal interaction, agentic AI) and collaborating with leading external technology partners.</li></ul><p><b>
What should you bring along?</b></p><ul><li>
Master&rsquo;s or PhD in Computer Science, AI, Machine Learning, Data Science, or a related field, with hands-on experience in AI and data architecture beyond prototypes.</li><li>
In-depth knowledge of Android (AOSP / Android Automotive) as a production platform, including its constraints and evolution.</li><li>
Strong experience with AI architecture onboard and offboard, as well as implementation of Small Language Models, Vision Language Models, or autonomous driving models.</li><li>
Knowledge of multi-agent systems orchestration, multi-turn dialogues, and related open standards (e.g., A2A, MCP).</li><li>
Experience with AI training toolchains and workflows including pruning, fine-tuning, and multimodal encoding.</li><li>
Proficiency in Rust, C++, Kotlin, and modern, API-driven system architectures.</li><li>
Proven technical leadership experience in agile, cross-functional teams.</li></ul><p>
If you are passionate about scalable AI platforms, edge computing, and real-world impact? Apply now!</p><p>
Find out more about Artificial Intelligence at the BMW Group here.</p><p><b>
Note</b>: Please apply exclusively online via our career portal. Applications via other channels (esp. e-mail) cannot be considered.</p><p><b>
What do we offer?</b></p><ul><li>
Challenging projects with which we are shaping the mobility of tomorrow together.</li><li>
Wide range of personal and professional development opportunities.</li><li>
Attractive, fair and performance-related remuneration.</li><li>
High level of job security.</li><li>
Annual special payments such as vacation pay, Christmas bonus, and profit sharing.</li><li>
Flexible working hours including 6 weeks annual leave and overtime compensation.</li><li>
Discounted BMW &amp; MINI conditions.</li></ul><ul><li>
Many other benefits at bmw.jobs/benefits</li></ul><p><b>
Earliest starting date:</b> from now on<br>
<b>Type of employment:</b> unlimited<br>
<b>Working hours</b>: full-time<br>
<br>
When you apply, the next steps in the selection process include an online test followed by interviews with the hiring manager (either virtual or in person).</p><p></p><p><br>
You can find helpful tips on your application and the application process here.</p><p></p><p><br>
At the BMW Group, we place great importance on equal treatment and equal opportunities. Our recruiting decisions are based on the personality, experience, and skills of the applicants. Learn more here.</p></div></div>
<br><div><div>Legal Entity:</div>
<div><div>BMW AG
</div></div><div>Location:</div>
<div>Munich
</div><div>Job Field:</div>
<div>Advanced Driver Assistance Systems
</div><div>Job Id:</div>
<div>186014</div>
<div>Publication Date:</div>
<div>28.04.2026</div></div>

Senior AI Engineer for the Infotainment Platform (f/m/x)

Manex AI

<div><h1 class="jobSectionHeader"><b>AI Software Engineer (f/m/d)</b></h1><div>
</div><h2 class="jobSectionHeader"><b>
About Us</b></h2><p>
Manex AI is on a mission to enable autonomy for the world&rsquo;s leading organizations and is currently building autonomous factories. After raising our Seed Round from Lightspeed and BlueYard and winning leading enterprise manufacturing customers, we are now focused on scaling operations across all departments. With our world-class team, we are looking for the key individuals who will help take us to the next level and build a truly outstanding organization.</p><div><br>
</div><h2 class="jobSectionHeader"><b>
Your Role</b></h2><p>
As an AI Software Engineer, you build the applications that make autonomy real on the factory floor. You work embedded inside the production environments of our customers - industry leaders including BMW, Audi, BSH, Stellantis, Still, TDK Electronics, and Co. - where our platform &quot;Kosmos&quot; meets the messy reality of manufacturing. You take the hardest technical problems our customers have and turn them into working software, powered by data and AI, inside their most critical, high-stakes processes.</p><p>
Most of your time goes into building: developing AI-driven applications, designing the integration architectures around them, and shipping solutions that create measurable impact - while becoming a trusted technical contact for our customers along the way.</p><div><br>
</div><h2 class="jobSectionHeader"><b>
Your Responsibilities</b></h2><ul><li><p>
Direct software and AI application development within customer projects</p></li><li><p>
Troubleshoot, document, co-create solutions alongside senior software engineers, and drive product development</p></li><li><p>
Support technical integration of our platform into customer IT landscapes</p></li><li><p>
Learn how production processes, IT infrastructure and AI products intersect</p></li><li><p>
Translate customer requirements into technical solutions and specifications</p></li></ul><div><br>
</div><h2 class="jobSectionHeader"><b>
Your Profile</b></h2><ul><li><p>
Degree in Computer Science, Information Systems, or similar</p></li><li><p>
0 to 4 years professional experience or internships in software engineering or similar</p></li><li><p>
Hands-on experience through projects, ventures, or product development</p></li><li><p>
Curiosity for manufacturing, how factories actually run, newest tech, product development, and beyond</p></li><li><p>
Business-fluent in German and English</p></li><li><p>
Based in Munich or willing to relocate, ready to go all-in with us</p></li></ul><div><br>
</div><h2 class="jobSectionHeader"><b>
What We Offer</b></h2><ul><li><p>
Unique opportunity to become part of a top-tier team with hands-on responsibility and learn how to build lasting collaborations with leading customers</p></li><li><p>
Mentorship &amp; fast learning curve in a high-impact AI-Startup environment, incl. flat hierarchy, direct access to founders, and fast decisions</p></li><li><p>
Top-of-market compensation with equity package</p></li><li><p>
Develop a best-in-class network (funding, industry, and talent) in Europe and the US</p></li><li><p>
A fast-paced environment backed by the world's best investors with the world's leading organizations as customers</p></li></ul><div></div><p><br>
Are you willing to start contributing to European autonomy at scale? Apply now!</p></div>

AI Software Engineer (f/m/d)

<div><h1 class="jobSectionHeader"><b>TL;DR
</b></h1><p>Founding Engineer.<br>
Build 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. Ship features end-to-end, influence the stack, and lay the foundations for scale. Grow into leadership as we expand across countries. Above-market pay + meaningful equity.</p><p></p><h2 class="jobSectionHeader"><b>
The opportunity</b></h2><p>
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.<br>
<br>
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.</p><p></p><h2 class="jobSectionHeader"><b>
About us</b></h2><p>
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.</p><p></p><h2 class="jobSectionHeader"><b>
The role</b></h2><p>
As an early Founding Engineer, you&rsquo;ll be a core part of building and scaling Skalar. We are past the initial founding phase, but we are still very very early - meaning <b>pretty much everything you touch will be greenfield building</b>.</p><p>
While we are providing a world-class professional service to our customers, technology is at our core and you will be an integral part of building it from scratch. Your work will be the driving force behind our revolutionary customer experience, enabled through AI, offering radical simplicity to our customers.</p><p></p><h2 class="jobSectionHeader"><b>
What you&rsquo;ll own</b></h2><ul><li><p><b>
Build 0 1 and beyond with the founders:</b> ship major features and product lines end-to-end (spec ship measure).</p></li><li><p><b>
Core Architecture</b>: Implement core APIs, data models, and UI; make pragmatic architecture choices with high autonomy.</p></li><li><p><b>
Iterate fast: </b>Ship v1 fast, iterate weekly with real user feedback.</p></li><li><p><b>
Leadership: </b>Hire and mentor junior engineers (if interested); gain leadership experience as we grow.</p></li></ul><p></p><h2 class="jobSectionHeader"><b>
Our tech context (greenfield)</b></h2><ul><li><p>
Prefer boring tech where it matters; innovate where it differentiates.</p></li><li><p>
Current stack (continually evolving): TypeScript, Next.js (React), PostgreSQL, Vercel, ...</p></li><li><p>
You&rsquo;ll have a strong influence on tech and product choices.</p></li><li><p>
Tooling budget for whatever makes you fast. No legacy, no yak‑shaving.</p></li></ul><p></p><h2 class="jobSectionHeader"><b>
What you&rsquo;ll bring</b></h2><ul><li><p>
5+ years of professional experience building web applications with modern frameworks (such as Next, React, Vue, Node, FastAPI or Tailwind)</p></li><li><p>
A bachelor&rsquo;s or master&rsquo;s degree in computer science or a related field</p></li><li><p>
You have worked in a cross-functional team setup, are product-minded and like working in an agile startup environment</p></li><li><p>
You have an eye for detail and your focus is on the frontend, but you are also curious about the backend</p></li><li><p>
You have experience in deploying applications using containerization and orchestration tools (such as Docker)</p></li><li><p>
You have integrated AI already deeply into your daily coding tasks and don&rsquo;t just use it for autocompletion</p></li><li><p>
Very good written and verbal communication skills in English (min. C1), German is a plus</p></li><li><p>
You have a valid work permit to work in Germany</p></li></ul><p></p><h2 class="jobSectionHeader"><b>
What you&rsquo;ll get</b></h2><ul><li><p>
Unique opportunity to join a company very early which you can shape</p></li><li><p>
Rapid growth path: Grow your career with the growing company</p></li><li><p>
Perfect environment to develop relevant skills in a world of AI</p></li><li><p>
Above-market compensation + Equity package, that has the potential to drastically gain in value</p></li></ul><p></p><h2 class="jobSectionHeader"><b>
The process (fast, meaningful, no homework)</b></h2><ul><li><p>
Jump on an intro call with a recruiter</p></li><li><p>
Get to know a fellow engineer, virtually or in person (up to you)</p></li><li><p>
Meet our whole founding team during a final interview (in-person, ~3h, incl. live coding)</p></li></ul></div>

Founding Engineer (w/m/d)

Explore 96+ Applied ai engineer in Munich this July. Find roles across top companies and apply now to boost your career.