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ai engineer (m/w/d)

ai platform engineer developer tools llm operations all gender

ALTEN

<p></p><div><div><div><p>Die ALTEN Consulting Services GmbH bietet mit &uuml;ber 20 Jahren Branchenerfahrung ihren namhaften Kunden aus Industrie und Wirtschaft hochspezialisierte Engineering- und IT-Dienstleistungen zur gemeinsamen Realisierung von branchen- und technologie&uuml;bergreifenden L&ouml;sungen an.
<br>
<br>
Kompetenz, Engagement und Leidenschaft verbinden alle unsere Mitarbeiter der ALTEN Consulting Services GmbH. Dabei stehen ein partnerschaftliches Miteinander, ein starkes WIR-Gef&uuml;hl, der pers&ouml;nliche Kontakt zu unseren Kunden und die Kreativit&auml;t jedes Einzelnen stets im Fokus. Werde auch Du Teil unserer Erfolgsgeschichte.</p>
</div></div><p></p><div><div><div><h1 class="jobSectionHeader"><b>AI Platform Engineer &ndash; Developer Tools &amp; LLM Operations (all gender)</b></h1>
<div><p><b>Gehalt: 60.000 - 80.000 Euro, Wochenstunden: 40 Stunden
</b></p><p><b>Standort: 80469 M&uuml;nchen</b>
<br>
Referenznummer: #506289</p>
</div></div></div></div><p></p><div><div><p><b>Make it happen</b></p>
<p><b>DU...</b></p>
<ul><li>administrierst und betreust moderne AI-Cloud-Services wie Cursor und GitHub Copilot</li>
<li>verantwortest den Betrieb und die Weiterentwicklung von Entwicklungsumgebungen wie VS Code, JetBrains und Visual Studio</li>
<li>administrierst und unterst&uuml;tzt AI- und LLM-Inferenzdienste auf Kubernetes-basierten Plattformen wie OpenShift und Linux</li>
<li>arbeitest mit Technologien wie LiteLLM, vLLM, LLM-D und verschiedenen Open-Source-LLMs</li>
<li>testest, bewertest und implementierst neue Softwareversionen und Releases</li>
<li>analysierst Systemfehler, koordinierst die Fehlerbehebung und f&uuml;hrst Troubleshooting-Ma&szlig;nahmen durch</li>
<li>fungierst als zentrale Ansprechperson f&uuml;r externe Software- und Tool-Lieferanten</li>
<li>unterst&uuml;tzt Softwareentwickler bei der Nutzung und Optimierung ihrer Entwicklungswerkzeuge</li>
<li>tr&auml;gst zur kontinuierlichen Verbesserung der Entwicklungs- und AI-Plattformen bei</li>
</ul><p></p><p><b>A home where people learn and thrive</b></p>
<ul><li>Zukunftsorientierter Arbeitsplatz mit unbefristetem Arbeitsvertrag</li>
<li>Attraktive Verg&uuml;tung</li>
<li>Mobiles Arbeiten nach Absprache</li>
<li>Individuelle interne und externe Weiterbildungen</li>
<li>Flexible Arbeitszeitgestaltung mit Gleitzeitkontenregelung</li>
</ul></div><p></p><div><p><b>Be our forward thinker</b></p>
<p><b>DU...</b></p>
<ul><li>hast ein abgeschlossenes Studium der Informatik oder eine vergleichbare Qualifikation</li>
<li>bringst Erfahrung im Umfeld von Softwareentwicklung und Entwicklungswerkzeugen mit</li>
<li>verf&uuml;gst &uuml;ber Kenntnisse im Scripting mit Python</li>
<li>hast Erfahrung in der Administration von Linux- oder Windows-Systemen</li>
<li>interessierst dich f&uuml;r moderne AI-Technologien, Large Language Models und Cloud-Plattformen</li>
<li>kommunizierst sicher auf Deutsch und verf&uuml;gst &uuml;ber Englischkenntnisse f&uuml;r die Zusammenarbeit in einem internationalen Umfeld</li>
<li>arbeitest gerne im Team und &uuml;bernimmst Verantwortung f&uuml;r stabile und zukunftsorientierte Plattformen</li>
</ul></div></div><p></p><div><div><p>Weitere Informationen findest Du unter: <b>www.alten-consulting.de</b><br>
<br>
</p><p></p><br>
<p>Wir wertsch&auml;tzen Vielfalt und begr&uuml;&szlig;en daher alle Bewerbungen - unabh&auml;ngig von Geschlecht, Nationalit&auml;t, ethnischer und sozialer Herkunft, Religion / Weltanschauung, Behinderung, Alter sowie sexueller Orientierung und Identit&auml;t.<br>
<br>
</p><p></p><br>
<p>Schwerbehinderte werden bei gleicher Eignung bevorzugt ber&uuml;cksichtigt.<br>
<br>
</p><p></p><br>
<p>Bewirb dich jetzt &uuml;ber unser Online-Bewerbungsformular.</p>
</div></div><p></p><div><div><h3 class="jobSectionHeader"><b>ALTEN Consulting Services</b></h3>
</div></div><div><div>Frau Anja Manglkammer
<br>
HR Talent Scout Specialist
</div><div>Frankfurter Ring 81
<br>
80807 M&uuml;nchen<br>
<br>
<br>
</div><p>0151 11 44 77 57
<br>
anja.manglkammer@alten-consulting.de</p></div></div><div></div>

AI Platform Engineer – Developer Tools & LLM Operations (all gender)

JetBrains

<div>
 At JetBrains, code is our passion. Ever since we started, back in 2000, we&rsquo;ve been striving to make the strongest, most effective developer tools on earth. Today, AI-powered assistance and agents are becoming a core part of how developers work in our IDEs.
 <br/>
 <br/>
 We&rsquo;re building multi-step coding agents that can understand large codebases, plan changes, call tools, and iterate with the user. As a Research Engineer in the Agentic Models team, you&rsquo;ll be responsible for the models, training loops, and evaluation pipelines that power these agents.
 <br/>
 <br/>
 You&rsquo;ll work at the intersection of SFT and RL-style post-training, and product-driven evaluation, using our distributed GPU and MapReduce clusters to ship models into JetBrains products.
 <br/>
 <br/>
 <strong>
  As Part Of Our Team, You Will
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Design, implement, and maintain SFT and RL post-training pipelines for multi-step coding agents.
  </li>
  <li>
   Train and adapt LLMs for agent workflows, including planning, tool use, and multi-step interactions inside JetBrains IDEs.
  </li>
  <li>
   Build and develop evaluation and simulation environments where coding agents can act, be measured, and compared on realistic developer tasks.
  </li>
  <li>
   Design evaluation frameworks and metrics for agent behavior, analyze traces and logs, and close the loop from evaluation back into training, data, and reward design.
  </li>
  <li>
   Analyze training and evaluation results to propose and implement improvements to model architectures, training recipes, and datasets.
  </li>
  <li>
   Work with large-scale infrastructure, including distributed training on GPU clusters and large MapReduce-style data processing for pre-training and fine-tuning datasets.
  </li>
  <li>
   Collaborate closely with research, product, and infrastructure teams to turn high-level product visions into concrete models, experiments, and shipped features.
   <br/>
   <br/>
  </li>
 </ul>
 We&rsquo;ll be happy to bring you on board if you have:
 <br/>
 <br/>
 <ul>
  <li>
   Extensive hands-on experience training LLMs (pre-training, fine-tuning, or post-training) in a research or production setting.
  </li>
  <li>
   Deep expertise in modern deep learning frameworks such as PyTorch, and specialized LLM training stacks (e.g. Megatron, NeMo, verl, or similar).
  </li>
  <li>
   Strong theoretical and practical understanding of LLM fundamentals: architectures, tokenization, data pipelines, batching, mixed precision, distributed training, and debugging unstable runs.
  </li>
  <li>
   The ability to own projects end to end, starting from a high-level problem or product pain point and overseeing it through the design, experimentation, implementation, and iteration phases.
  </li>
  <li>
   A product-aware mindset &ndash; you care about how developers actually use agents and can translate product needs and failure modes into modeling and evaluation work.
  </li>
  <li>
   At least 3 years of Python experience writing clean, maintainable code in modern ML codebases.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Our Ideal Candidate Would Have Experience With
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   ML orchestrators and workflow tools such as Kubeflow, Dagster, Airflow, ZenML, and/or job schedulers like Kubernetes or SLURM.
  </li>
  <li>
   Large-scale data and training pipelines, e.g. MapReduce-style clusters, multi-node GPU training, or workloads on the order of 1M+ CPU/GPU hours.
  </li>
  <li>
   Designing and maintaining evaluation pipelines for LLMs or agents, including metrics, dashboards, experiment tracking, and automated regression checks.
  </li>
  <li>
   AI agent development, such as tool-using agents, planners, or multi-step coding workflows, and familiarity with agentic frameworks or patterns.
  </li>
  <li>
   Experiment tracking and observability using tools like Weights &amp; Biases, MLflow, Langfuse, or similar.
  </li>
  <li>
   Inference optimization and serving optimized models in production.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  We are an equal opportunity employer
  <br/>
  <br/>
 </strong>
 We know great ideas can come from anyone, anywhere. That&rsquo;s why we do our best to create an open and inclusive workplace &ndash; one that welcomes everyone regardless of their background, identity, religion, age, accessibility needs, or orientation.
 <br/>
 <br/>
 <em>
  We process the data provided in your job application in accordance with the Recruitment Privacy Policy.
  <br/>
  <br/>
 </em>
</div>


Research Engineer (Agentic Models)

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>Our platform teams build AI-based toolchains that simulate, reprocess and train models on petabyte-scale automotive data &ndash; and we increasingly rely on agentic AI to operate, maintain and improve these toolchains. The glue that makes agents effective is context: the right knowledge, delivered at the right time, in the right shape. We are looking for an engineer who can design and evolve the knowledge-management and context-engineering backbone that powers both our product (an inter-domain multi-agent vehicle system) and our internal development toolchain.</p><p><b>
What awaits you?</b></p><ul><li>
You design and operate knowledge graphs and graph databases that capture domain knowledge, toolchain topology, operational incidents, root-cause analyses and lessons learned &ndash; enabling graph-based retrieval across the organization.</li><li>
Further, you build context-engineering pipelines that dynamically assemble, rank and budget the information supplied to LLM-based agents.</li><li>
Also, you implement feedback loops: coding agents and skills that interact with our toolchain log outcomes, diagnose failures and write findings back into the knowledge graph, making the system progressively more capable.</li><li>
It is your responsibility to develop and maintain ontologies and semantic models for the automotive AI domain &ndash; sensor configurations, simulation scenarios, data-pipeline topology, model lineage &ndash; ensuring consistent vocabulary across teams and tools.</li><li>
You architect agent memory systems (working, episodic, semantic) with appropriate consolidation and retention mechanisms so that long-running agent sessions retain useful experience without context-window bloat.</li><li>
In addition, you evaluate and optimise retrieval quality using relevance, coverage, freshness and redundancy metrics, and run experiments comparing retrieval strategies (dense, sparse, graph, hybrid).</li><li>
You contribute to cost-efficient model selection and context-compression strategies (prompt compression, semantic caching, model routing) to keep latency low and budgets sustainable at scale.</li></ul><p><b>
What should you bring along?</b></p><ul><li>
University degree in Computer Science, Information Science, AI/ML, or a related field.</li><li>
1-3 years of professional experience in knowledge management, knowledge-graph engineering or context engineering for AI/LLM systems.</li><li>
Expert-level programming skills in at least one high-level language (C++, Java, Kotlin or Python).</li><li>
Proficiency in AI-assisted development using coding agents such as Claude Code, GitHub Copilot or OpenCode.</li><li>
Hands-on experience building and querying knowledge graphs (RDF/SPARQL or property graphs) and integrating them with LLM-based retrieval (e.g. GraphRAG, hybrid search).</li><li>
Experience with systems design, particularly for knowledge-intensive or retrieval-heavy architectures.</li><li>
Familiarity with agent memory architectures, ontology design, semantic modelling, graph-based analytics, entity resolution or knowledge-graph embeddings.</li></ul><p>
You enjoy working in an international team and are passionate about software quality? 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><li>
Many other benefits at <b>bmw.jobs/benefits</b></li></ul><p></p><p><b><br>
Start date:</b> from now on
</p><p><b>Type of employment:</b> unlimited<br>
<b>Working hours:</b> Full-time</p><p><br>
If you apply, the next stages of the recruiting process include an online test followed by technical interviews with the hiring manager (either virtual or in person).</p><p><br>
</p><p>You can find helpful tips on your application and the application process.</p><p>
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.</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>Autonomous Driving
</div><div>Job Id:</div>
<div>185161</div>
<div>Publication Date:</div>
<div>17.04.2026</div></div>

Validation Engineer - Context, Semantics & Memory (f/m/x)

<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>As a Senior AI Platform Engineer, you will play a pivotal role in advancing the Data &amp; AI transformation at the BMW Group by developing state-of-the-art AI platform solutions to train, run, and continuously improve tailored AI models for our connected vehicles all around the world.</p><p><b>
What awaits you?</b></p><ul><li>
You build and operate AI platforms for data pipelines, training, deployment, and inference.</li><li>
You optimise for best-in-class AI models, employing suitable ML and LLM approaches.</li><li>
You take technical leadership and ownership, from architecture across teams to mentoring engineers towards operational excellence of AI-based systems.</li><li>
You analyse stakeholder requirements and translate them into scalable AI platform features that enable hundreds of teams.</li><li>
You ensure reliability, performance, and cost-efficient operation of AI-based systems.</li><li>
You develop solutions for efficient interoperability and load distribution between in-vehicle and cloud platforms.</li><li>
You create data and context management solutions to power personalised, customer-centric AI experiences.</li></ul><p><b>
What should you bring along?</b></p><ul><li>
A university degree in Computer Science, Data Science, or a comparable qualification.</li><li>
At least five years of professional experience in (AI) platform engineering, AI training and inference, or AI tooling.</li><li>
A track record of successfully leading and implementing large and complex technical AI solutions in cloud or edge devices.</li><li>
Experience with AI solutions on the edge or enthusiasm to transfer your knowledge to the in-vehicle domain.</li><li>
Hands-on experience in machine learning or generative AI and proficiency in modern programming languages such as Python, Node.js/Nest.js, Java/Kotlin, or Go, as well as API technologies.</li><li>
A deep understanding of cloud architectures (mainly AWS), container orchestration (Docker, Kubernetes), and (ML)Ops of scalable cloud services.</li><li>
Very good written and spoken English skills. Knowledge of German, both written and spoken, is an advantage.</li></ul><p>
Would you like to help us drive the AI transformation at BMW? 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 (especially e-mail) cannot be considered.</p><p><b>
What we offer?</b></p><ul><li>
Challenging projects through which we are shaping the mobility of tomorrow together.</li><li>
A wide range of personal and professional development opportunities.</li><li>
Attractive, fair, and performance-related remuneration.</li><li>
A high level of job security.</li><li>
Annual special payments such as holiday pay, Christmas bonus, and profit sharing.</li><li>
Flexible working hours including six weeks&rsquo; annual leave and overtime compensation.</li><li>
Discounted BMW &amp; MINI conditions.</li><li>
Many other benefits at bmw.jobs/benefits</li></ul><p><b>
Start date:</b> From now on<br>
<b>Type of employment:</b> Unlimited<br>
<b>Working hours:</b> Full-time</p><p>
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>
Do you have any questions? Then simply send your enquiry using our contact form. Your enquiry will then be answered by telephone or e-mail.</p><p>
At the BMW Group, we place great importance on equal treatment and equal opportunities. Our recruitment decisions are based on the personality, experience, and skills of the applicants.</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>Software Development
</div><div>Job Id:</div>
<div>176459</div>
<div>Publication Date:</div>
<div>28.04.2026</div></div>

Senior AI Platform Engineer (f/m/x)

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

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

Apex.AI

<div>
 <strong>
  Want to work on Software-Defined Defense?
  <br/>
 </strong>
 At Apex.AI, we develop safety-certified software for mobility systems and intelligent machines. Our products power applications in automotive, trucking, robotics, aerospace, agriculture, industrial automation, and defense systems.
 <br/>
 <br/>
 We are hiring a Senior DevOps Engineer to design and scale Apex.AI's build and release systems. You will architect and implement our build and release system solutions, which impact developer productivity company-wide and ensure that customers receive high-quality products in a timely manner.
 <br/>
 <br/>
 In this role, you will work directly with European defense customers and internal product teams to design, build, deploy, and Apex.Alan. You will help customers bring real-world systems to production while contributing improvements and features back into our core platform. Find out more about Apex.Alan here and here.
 <br/>
 <br/>
 This role is located in our Munich office. Authorization to work in Germany and German language skills are required.
 <br/>
 <br/>
 <strong>
  What You Bring
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   B.S. or higher degree in a technical field with 5+ years of relevant work experience
  </li>
  <li>
   Proven experience working with cloud infrastructure on AWS, Azure, or GCP
  </li>
  <li>
   Proven experience maintaining a cross-platform build system
  </li>
  <li>
   Proven experience managing CI/CD pipelines
  </li>
  <li>
   Proven ability to script in Python and Starlark
  </li>
  <li>
   Proven experience developing Bazel infrastructure
  </li>
  <li>
   Proven experience building C/C++ projects with Bazel
  </li>
  <li>
   Familiarity with GitLab or GitHub
  </li>
  <li>
   Experience navigating Linux-based systems and tools in a terminal
  </li>
  <li>
   Excellent troubleshooting skills
  </li>
  <li>
   Excellent communication skills
  </li>
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   German language skills
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  Nice To Have
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   Experience with infrastructure management tools such as Terraform
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   Experience with Bazel internals
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   Familiarity with releasing code and binaries to customers
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   Familiarity with cross-compilation
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   Experience with the usage of CMake
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 Apex.AI is an international software company specializing in the development of safety-certified, developer-friendly, and scalable software for mobility systems, aiming to accelerate the transition to software-defined vehicles and mobility. Founded in 2017 by Jan Becker and Dejan Pangercic, the company is headquartered in Palo Alto, California, with additional offices in Munich, Stuttgart, Gothenburg, Tokyo, and Pangyo. To date, Apex.AI has raised over $75 million USD from world-class venture, financial and strategic investors including AGCO, Airbus Ventures, Canaan, Continental AG, Daimler Truck, HELLA Ventures, Jaguar Land Rover&rsquo;s InMotion Ventures, LG Electronics, Lightspeed, Orillion, Toyota Ventures, Volvo Group Venture Capital and ZF.
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 The company&rsquo;s flagship product, Apex.OS, consists of two core components: Apex.Grace and Apex.Ida.
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   Apex.Grace is an application runtime framework in the form of a software development kit (SDK). It provides a robust framework for developing real-time, reliable, and safe applications. Core APIs are based on ROS 2 APIs with numerous extensions enabling real-time execution, reliable performance, deployment into large fleets, system state management, safety, security, and much more. It is safety-certified to ISO 26262 ASIL D
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   Apex.Ida is a communication middleware delivering optimal high-performance data transport across use cases. These use cases range from fully autonomous vehicles with dozens of high-resolution cameras to small signals with ultra-high frequencies in safety-critical domains. Its core is based on a shared memory data transport with connectors into DDS, SOME/IP, MQTT, CAN, and many more protocols, all abstracted into a single application-facing API
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 Additionally, Apex.AI offers:
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   Apex.Alan provides customers with a highly optimized and efficient software integration, development environment, build, test, and delivery process
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   Apex.OS for V&amp;V enables record and playback of very large and diverse data streams, both time- and data-deterministically, which is crucial for replay, analysis, and performance evaluation of complex autonomous systems
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 Apex.AI&rsquo;s software solutions are utilized across a diverse range of industries, including automotive, agriculture, medical, and defense sectors. The products enable developers to efficiently create and deploy safe, reliable, and high-performance applications, thereby accelerating the adoption of software-defined mobility systems. Through its innovative software solutions and strategic partnerships, Apex.AI is at the forefront of transforming the mobility industry, facilitating the development of next-generation vehicles and systems.
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 We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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Senior DevOps Engineer

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