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ai engineer for llm ops & evaluation (m/f/d) Jobs in Munich

ai platform engineer – developer tools & llm operations (all gender) Jobs in Munich

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

ai solutions engineer (d/f/m)

ai engineer for llm ops evaluation m f d

Auxilius.ai

<div>
 
 You'll join an early-stage, AI-native startup with a product that has already proven market fit. We build cutting-edge AI solutions for Governance, Risk and Compliance (GRC) for enterprises around the world.
 
 
 
 Our customers are auditors, risk managers, and compliance teams, which means evaluation rigor, auditability, and EU AI Act readiness aren't afterthoughts for us. They're product requirements.
 
 
 Tasks
 
 
 As our AI Engineer for LLMOps &amp; Evaluation, you'll own the LLMOps pipeline end-to-end and work directly alongside our founding team.
 
 
 
 You will:
 
 
 <ul>
 
 <li>
 Own the LLMOps pipeline: Evaluate infrastructure, prompt optimization loop, and the production integration that turns experiments into reliable customer-facing features
 </li>
 
 <li>
 Design evaluation strategy per output type: Decide when to use deterministic evals (exact match, schema validation, embeddings) vs. LLM-as-judge, and build the rubrics, test datasets, and human-review loops that make the system trustworthy
 </li>
 
 <li>
 Drive prompt engineering and optimization across all LLM operations in the product: Moving from hand-tuned prompts to a measurable, iterative process
 </li>
 
 <li>
 Pick the right tool for each problem: Some things are LLM problems, some are embedding + classical NLP problems, some are deterministic logic
 </li>
 
 <li>
 Run the production side of AI features: Observability (Langfuse /LangSmith / similar), cost and latency engineering, incident response when an LLM feature degrades
 </li>
 
 <li>
 Build human-in-the-loop workflows: Review queues, feedback ingestion, labeling; so production signal feeds back into evals and prompt iteration
 </li>
 
 <li>
 Mentor our AI &amp; Analytics Intern and contribute to how we build the AI team over time
 </li>
 
 </ul>
 
 Requirements
 
 <ul>
 
 <li>
 3+ years of hands-on experience building and shipping ML/AI systems in production (we care more about what you've shipped than years on a CV)
 </li>
 
 <li>
 Have shipped an LLM evaluation or prompt optimization pipeline, not just used LLMs in a project, but owned the loop
 </li>
 
 <li>
 Strong hands-on experience with LLM-as-judge, including its variance problems and concrete techniques for controlling them
 </li>
 
 <li>
 Solid foundation in classical NLP and ML ops: Embeddings, semantic similarity, entity matching, classification, fuzzy matching
 </li>
 
 <li>
 Informed opinions on deterministic vs. LLM-based evals, from experience
 </li>
 
 <li>
 Production judgment: You've owned cost and latency tradeoffs, observability, and incident response for an LLM-powered feature. You're familiar with prompt regression and have strategies for managing it
 </li>
 
 <li>
 Strong Python
 </li>
 
 <li>
 Excellent English communication, written and verbal: We discuss nuanced technical tradeoffs daily with the founding team and customers
 </li>
 
 <li>
 Comfort with ambiguity: You can run experiments on real data, build intuition for this domain, and know when to stop iterating
 </li>
 
 </ul>
 
 
 
 Nice to have
 
 
 
 <ul>
 
 <li>
 Hands-on experience with LLM observability and eval tooling (Langfuse, LangSmith, Phoenix/Arize, Helicone, Braintrust, W&amp;B)
 </li>
 
 <li>
 Experience with DSPy or similar prompt optimization frameworks, and opinions on where they do and don't work
 </li>
 
 <li>
 Experience with Azure OpenAI in EU regions, or with EU-sovereign providers (Mistral, Aleph Alpha)
 </li>
 
 <li>
 Exposure to guardrails, content safety, or AI governance
 </li>
 
 <li>
 Exposure to enterprise software, ideally GRC, compliance, audit, or regulated industries
 </li>
 
 <li>
 Familiarity with Java/Spring Boot or Kubernetes on Azure; enough to integrate cleanly
 </li>
 
 <li>
 German
 </li>
 
 </ul>
 
 Benefits
 
 <ul>
 
 <li>
 Hands-on ownership of a real AI product used by enterprise customers
 </li>
 
 <li>
 Work directly alongside the founding team from day one
 </li>
 
 <li>
 Hybrid work model: Munich North, minimum one day per week in the office, otherwise flexible (open to strong candidates elsewhere in the EU for the right fit); onboarding will take in-office
 </li>
 
 <li>
 A steep learning curve at the intersection of LLM engineering, enterprise GRC, and startup operations
 </li>
 
 <li>
 The chance to shape the AI team as we grow
 </li>
 
 </ul>
 
 
 Auxilius .ai is building AI-powered GRC solutions for enterprises. We're early-stage, fast-growing, and backed by real customers. Our tech stack includes Java &amp; Spring Boot, Angular, Kubernetes on Azure, and OpenAI &amp; Anthropic LLMs.
 
</div>

AI Engineer for LLM Ops & Evaluation (m/f/d)

Airbus

<div>Job Description:
In order to support us, Airbus Defence and Space is looking for an 
<h1 class="jobSectionHeader"> 
AI Solutions Engineer (d/f/m)
</h1>At Airbus Defence and Space, AI and data are our most strategic assets. As a forward deployed AI (artificial intelligence) implementation lead, you are the technical expert who turns our AI capabilities and platforms into mission-critical AI solutions. Working closely with business lines and internal teams, you will be bridging the gap between mission-critical requirements, AI capabilities and operational needs. 
 
In your job, you will work closely with business teams, managing an end-to-end lifecycle of AI use cases from initial technical assessments and evaluation of possible solutions to deployment into production. You will be an integral part of the team responsible for the delivery of a wide range of AI solutions, incl. GenAI (generative AI) and autonomous agentic systems for complex workflows.
Your location
 
Our site is just a stone's throw away from Munich, the beautiful capital of Bavaria. You are into sports and other outdoor activities? The Alps and Lake Starnberg are within an hour&rsquo;s reach, offering a multitude of recreational options.
The other possible locations for this role are:
Madrid / Getafe
 
Toulouse
Our Benefits for You
<ul><li>Fair Compensation &amp; Extras: Attractive remuneration and individual additional benefits, such as company pension schemes, mobility offers (e.g., bike leasing), or corporate discounts with partner companies in accordance with our current guidelines.
</li><li>Time for You (and Your Loved Ones): 30 days of annual leave based on our collective agreement (35-hour week); work-life balance through flexible working hours (flextime), mobile working, part-time options, job sharing, and sabbatical opportunities.
</li><li>Growth Made Easy: Excellent professional development opportunities and international, group-wide career perspectives.
</li><li>Feel Good at Work: On-site company doctor; comprehensive health programs (sports courses, preventive care, etc.), canteen and cafeteria, and local childcare facilities at selected locations.
</li><li>Diversity Connects: Work in a diverse environment with more than 140 nationalities, where exchange, mutual support, and inclusion are part of our DNA. 
</li></ul> 
Your tasks and responsibilities
<ul><li>Problem Discovery &amp; Feasibility: Partner with business leads, technical teams to review feasibility of AI use cases, identify technical bottlenecks and lead development of the required AI solutions from GenAI prompt engineering requests, to implementing RAG (retrieval augmented generation) pipeline, and end-to-end orchestrating of a full agentic solution.
</li><li>Tactical Implementation: Evaluate implementation requirements of AI use cases across various Airbus networks / deployment environments and available technology to make critical decisions to minimize end-user / operations impacts and individual AI use cases on the business. This may involve revision of API services, data connectors with tech. teams, optimization of prompts with end-users, and fine-tuning of available LLM (large language models) for optimal fit-for-purpose.
</li><li>Implementation of Agentic Systems: Where appropriate, drive key decisions on the design / implementation of Agentic AI workflows, enabling the GenAI platform to act as an orchestrator of multi-staging tasks, internal platforms, systems and tools while ensuring adherence to ethical guidelines of AI use.
</li><li>Platform Evolution: Act as forward deployed technical liaison and subject matter expert positioned between AI development teams and business teams, actively capturing issues, incidents, failures of individually deployed AI use cases and feed to development teams for future platform evolution.
</li><li>Sovereignty &amp; Compliance: Leverage understanding of applicable EU AI compliance policies, security standards and data sovereignty regulations for secure deployment and operations of AI use cases in Airbus environment.
</li><li>AI solutions delivery: Manage the end-to-end data science lifecycle for integrating GenAI features into existing solutions, focusing on data preparation, LLM fine-tuning, RAG implementation, and defining rigorous evaluation metrics to enhance the performance of the internal solution.
</li></ul>Desired skills and qualifications
<ul><li>Bachelor's Degree in computer science, software engineering, data science or other related technical discipline or preferably a Master&rsquo;s Degree in Artificial Intelligence (AI), Data Science, or Computer Science with specialization in cloud computing, DevOps and/or AI is preferred, reflecting the advanced nature of the role.
</li><li>A strong understanding of standard AI / GenAI/ Agentic AI development and implementation approaches into cloud platforms (AWS/GCP) and into containerized solutions (via Docker, Kubernetes, OpenShift).
</li><li>Expertise in development and implementation of LLMs, RAG pipelines, and Agentic AI across distributed environments and networks.
</li><li>Expertise in Agile, DevOps methodologies, and CI/CD (Continuous Integration / Continuous Deployment) practices, essential for the end-to-end delivery focus.
</li><li>Experience with scripting languages (e.g. Python , JavaScript, etc.) for automation and ML/DevOps libraries.
</li><li>At least 5+ years continuous working experience in a multinational company in software engineering, data science, and forward-deployed technical roles.
</li><li>Previous experience as a liaison between tech development and business teams
</li><li>Python / C++ expert level and experience working across the full stack applications to develop / integrate AI solutions into technology platforms, systems, network environments, etc.
</li><li>Mastery of vector databases, graph databases, and experience with basic data ingestion / data quality principles and workflows for evaluation of data sets for AI consumption.
</li><li>Experience with implementing rigorous scientific evaluation frameworks for optimal AI outputs.
</li><li>Recommended additional industry-recognized certifications (e.g. cloud platform certification, DevOps / Container certification, MLOps-specific certifications, etc.)
</li><li>Excellent problem-solving and analytical skills, with the ability to work independently in a fast-paced environment.
</li><li>Strong communication and collaboration abilities, and comprehensive end-user support and stakeholder management skills and ability to work independently and as part of a team in a fast-paced environment.
</li><li>Fluent English, German and English is a plus 
</li></ul> 
Not a 100% match? No worries! Airbus supports your personal growth with customized development solutions.
Take your career to a new level and apply online now! 
 
#MYCYM
This job requires an awareness of any potential compliance risks and a commitment to act with integrity, as the foundation for the Company&rsquo;s success, reputation and sustainable growth.
Company:
Airbus Defence and Space GmbH
Employment Type:
Permanent
-
Experience Level:
Professional
Job Family:
Digital &lt;JF-IM-DI&gt;
By submitting your CV or application you are consenting to Airbus using and storing information about you for monitoring purposes relating to your application or future employment. This information will only be used by Airbus.
 
Airbus is committed to achieving workforce diversity and creating an inclusive working environment. We welcome all applications irrespective of social and cultural background, age, gender, disability, sexual orientation or religious belief.
Airbus is, and always has been, committed to equal opportunities for all. As such, we will never ask for any type of monetary exchange in the frame of a recruitment process. Any impersonation of Airbus to do so should be reported to emsom@airbus.com .
At Airbus, we support you to work, connect and collaborate more easily and flexibly. Wherever possible, we foster flexible working arrangements to stimulate innovative thinking.</div>

AI Solutions Engineer (d/f/m)

Integrity Next

<div><h4 class="jobSectionHeader">Join us!</h4>
At IntegrityNext, we are building a shared AI and data platform on AWS on top of our supply chain and product compliance platform. This platform will power semantic data access, BI, APIs, and agentic product experiences across our product landscape. 
As AI Application Engineer (m/f/d), you will build and ship AI-powered product capabilities end-to-end. You will work hands-on across Python-based AI services, agent workflows, web and document retrieval pipelines, unstructured data processing, APIs, integrations, and lightweight React prototypes where needed. 
Our AI application layer is built around LangChain, LangGraph, Deep Agents, and Amazon Bedrock AgentCore. The focus is on product delivery rather than research, covering both structured-data-driven AI experiences and unstructured-data processing for retrieval, agent workflows, and future AI-native product capabilities. 
We work according to &ldquo;You build it, you run it&rdquo;, own capabilities from design to production operations, follow spec-driven development, and actively use AI-assisted engineering tools such as Claude Code, Cursor, and similar tools.<h4 class="jobSectionHeader"> 
What can you expect?</h4>
Build agentic AI product capabilities<ul><li>
Build AI-powered product features using retrieval mechanisms, workflows, tools, and multi-step agent patterns</li><li>
Turn product and business needs into reusable, reliable AI capabilities for internal and customer-facing use cases</li><li>
Implement AI capabilities in Python using LangChain, LangGraph, Deep Agents, and Bedrock AgentCore</li><li>
Design and build AI APIs with clean service boundaries for integration into Java-based product systems</li></ul>
Work with structured, unstructured, web, and document data<ul><li>
Build and maintain retrieval and unstructured-data processing pipelines for documents, web content, and other sources used in agent workflows</li><li>
Work with content and PDF extraction, link following, candidate ranking and selection, deduplication, and source or provenance tracking</li><li>
Collaborate with platform and semantic teams to ground AI features in reliable, well-structured data</li><li>
Support AI experiences based on structured business data, semantic layers, and analytics-driven use cases</li></ul>
Improve AI quality, reliability, and production readiness<ul><li>
Drive prompt engineering and context engineering to improve quality, reliability, and usability</li><li>
Implement evals, regression checks, prompt-injection tests, scenario-based validation, and quality controls</li><li>
Help define evaluation harnesses, testing approaches, and validation methods for agentic and retrieval systems</li><li>
Support AI observability, tracing, quality monitoring, maintainability, and production operations</li></ul>
Contribute across product and engineering layers<ul><li>
Contribute to lightweight frontend prototypes and conversational or workflow-driven UI flows in React where needed</li><li>
Work closely with semantic, data platform, architecture, product, and engineering teams</li><li>
Help establish practical spec-driven and AI-assisted engineering workflows that improve quality, speed, and maintainability</li></ul><h4 class="jobSectionHeader">
What should you bring along?</h4>
Experience &amp; Domain Focus<ul><li>
Strong practical experience with Python and proven experience building AI-powered product features in production or near-production environments</li><li>
Experience with LLM application development, including agentic RAG, tool use, workflow orchestration, prompt engineering, and context design</li><li>
Strong knowledge of agentic AI concepts such as agent workflows, planning patterns, tool usage, multi-step reasoning architectures, and agent harnesses</li><li>
Experience building multi-step agents or pipelines that retrieve, read, and reason over information from web and document sources with a focus on grounding, attribution, and reliability</li><li>
Experience building or maintaining unstructured-data pipelines for AI applications, including document and web-page processing, text extraction, retrieval, and AI-oriented data preparation</li><li>
Experience designing backend APIs and integrating AI capabilities into larger product landscapes through clear service boundaries</li></ul>
Technical / Methodological Skills<ul><li>
Hands-on experience with LangChain and/or LangGraph</li><li>
Familiarity with Deep Agents or similar multi-step or planning-oriented agent harnesses is a strong plus</li><li>
Knowledge of Amazon Bedrock AgentCore and strong overall AWS knowledge, including OpenSearch, S3, and DynamoDB</li><li>
Experience with web search APIs such as SERP API, Linkup, or Tavily, and crawling or extraction frameworks such as Firecrawl or Crawl4AI</li><li>
Experience with headless or JS-rendering fetching using tools such as Playwright or Puppeteer</li><li>
Comfortable with content and PDF extraction, link following, candidate ranking and selection, deduplication, and source or provenance tracking across varied, multilingual, and often unreliable web sources</li><li>
Experience with MCPs, A2A, AgentCore Gateway, Agent Skills, Agent plugins, and testing these components</li><li>
Experience with evaluation harnesses, regression testing, prompt-injection testing, and quality controls for AI and retrieval systems</li><li>
Experience with observability, tracing, or monitoring for AI or backend systems</li><li>
Ability to contribute to lightweight frontend or prototype work in React when needed</li></ul>
Ways of Working &amp; Mindset<ul><li>
Strong product delivery mindset with a focus on building and shipping AI-powered capabilities end-to-end</li><li>
Comfortable owning AI-powered features in production, not just prototyping them</li><li>
Strong quality mindset and the ability to improve AI systems through testing, evaluation, iteration, and harness-based validation</li><li>
Comfortable working with structured specifications, clear interfaces, spec-driven development, and AI-assisted engineering workflows</li><li>
Deep specialization in AI engineering combined with the willingness to contribute across adjacent layers when needed</li><li>
Practical, hands-on approach to solving complex product and platform challenges</li></ul>
Communication &amp; Collaboration<ul><li>
Comfortable collaborating closely with semantic, data platform, architecture, product, and engineering teams</li><li>
Able to work across backend implementation, AI application development, APIs, and lightweight frontend prototyping</li><li>
Strong ability to translate product and business needs into reliable technical capabilities</li><li>
Clear communication style and willingness to share knowledge across teams</li><li>
Fluent English skills for working effectively in an English-speaking environment</li></ul>
Nice to have<ul><li>
Experience with large-scale or polite crawling, deduplication, and source or provenance tracking</li><li>
Experience with entity resolution and attribution across heterogeneous web sources</li><li>
Experience with multilingual document and web-content processing and retrieval</li><li>
Experience designing agentic architectures, evaluation harnesses, and quality frameworks for AI systems</li><li>
Experience with AI observability and tracing tools</li><li>
Experience with React and frontend prototyping for conversational or workflow-driven experiences</li><li>
Experience working with structured business data, semantic layers, or analytics-driven AI use cases</li><li>
Experience with advanced document pipelines, retrieval systems, and unstructured-data-based AI features</li><li>
Experience in multi-team SaaS environments</li></ul><h4 class="jobSectionHeader">
What do we offer?</h4><h3 class="jobSectionHeader">
Purpose &amp; Impact</h3><ul><li><div>
A role with real meaning that is both enjoyable and impactful</div></li><li><div>
The opportunity to make a sustainable contribution through your work</div></li><li><div>
Attractive compensation as part of a growing company</div></li></ul><h3 class="jobSectionHeader">
Attractive Benefits</h3><ul><li><div>
30 days of paid vacation</div></li><li><div>
EGYM Wellpass membership to support your work-life balance</div></li><li><div>
Flexible working models to better balance work and personal life</div></li></ul><h3 class="jobSectionHeader">
Modern Work Environment &amp; Flexibility</h3><ul><li><div>
Inspiring office spaces in the heart of Munich</div></li><li><div>
Flexible remote work from home or anywhere within Germany</div></li></ul><h3 class="jobSectionHeader">
Great Team</h3><ul><li><div>
A professional, welcoming, and highly motivated team</div></li><li><div>
Collaboration at eye level with an open feedback culture</div></li><li><div>
An environment where people support each other and grow together</div></li></ul><h3 class="jobSectionHeader">
Flat Hierarchies &amp; Ownership</h3><ul><li><div>
Short decision-making paths and real opportunities to shape things</div></li><li><div>
Freedom to contribute and implement your own ideas</div></li><li><div>
A high level of ownership and responsibility</div></li></ul><h4 class="jobSectionHeader"> 
Application process</h4>
Please apply exclusively via our online application portal. This ensures a smooth and fair process for all candidates. Applications submitted by email or LinkedIn will not be considered. Thank you for your understanding.<h4 class="jobSectionHeader">
About us</h4>
IntegrityNext, a global leader in supply chain sustainability software, stands at the forefront of corporate sustainability and compliance. Since 2016, businesses have trusted IntegrityNext to simplify ESG compliance, reduce risks, and address critical challenges like due diligence, decarbonization, and sustainability reporting. With over 500 customers and 2 million suppliers across 190 countries, IntegrityNext is transforming supply chains into engines of transparency and sustainable growth. For more information, visit www.integritynext.com. 
 
We are an equal opportunity employer and do not discriminate based on race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. We welcome applicants from all backgrounds and strive to create an environment where everyone feels respected and heard. Join us in our mission to build a more equitable and inclusive world.</div>

Full Stack AI Engineer (m/f/d)

INOVA Semiconductors GmbH

<div>Engineering the Connected Future
<h1 class="jobSectionHeader">Wir suchen aktuell: Senior Application Engineer - Digital (m/f/d) in M&uuml;nchen
</h1>Innovation im Fokus. Seit 1999 - profitabel, siebenfacher Wachstumschampion, Champions-League-Technologie. lnova Semiconductors ist Pionier f&uuml;r High-Speed-Daten&uuml;bertragung und smarte Beleuchtungsl&ouml;sungen im Automotive-Sektor. In M&uuml;nchen entwickeln wir die High-Tech-L&ouml;sungen f&uuml;r Infotainment, ADAS und das Automotive-Lichtdesign von morgen - rund 70 Mitarbeiter, die einander kennen: pers&ouml;nlich, sichtbar, ansprechbar.
Inova entwickelt mit APXpress das universelle High-Speed-Nervensystem f&uuml;r die n&auml;chste Generation von Netzwerken im Fahrzeug. Daf&uuml;r suchen wir Verst&auml;rkung f&uuml;r unser Applikationsteam. Wir validieren erste Prototypen und entwickeln zugeh&ouml;rige Hard- und Software.
Wie wir zusammenarbeiten: 
Wir bilden die technische Schnittstelle zwischen unseren Kunden und den Design-Teams. Wir arbeiten in einem fokussierten, l&ouml;sungsorientierten und internationalen Team. Kurze Wege, schnelle Entscheidungen, direkter Draht - bis hin zum CTO. Herausforderungen besprechen wir im Team auf Augenh&ouml;he und finden gemeinsam die besten Wege.
<h1 class="jobSectionHeader">Als Senior Application Engineer - Digital (m/f/d) sieht dein Alltag bei uns im Team konkret so aus</h1>
<ul><li>Softwareentwicklung &amp; Automatisierung: Du entwickelst Software in python und C/C++ zur Ansteuerung unserer Produkte, Messger&auml;te und Video-Analyzer.</li><li>
IC Validierung &amp; Charakterisierung: Du evaluierst und charakterisierst die Schnittstellen unserer neuesten Produkte (DP, HDMI, MIPI, Ethernet, I2C, PCIe).</li><li>
Referenzdesigns entwickeln: Du entwickelst Referenz-Designs und Applikationsboards mit dem Altium Designer.</li><li>
Team&uuml;bergreifende Zusammenarbeit: Du arbeitest in einem internationalen Team in enger Zusammenarbeit mit erfahrenen Ingenieuren aus Chipdesign, Feldapplikation und Produkttest, um unsere Produkte zur Marktreife zu bringen und die Anforderungen unserer Kunden zu erf&uuml;llen.</li><li>
Automotive-Innovationen gestalten: Du bist aktiv bei der Entwicklung von Projekten der bestehenden und n&auml;chsten Automobilgeneration beteiligt und bist ein wichtiger Ansprechpartner f&uuml;r unsere internationalen Kunden.</li></ul>
<h1 class="jobSectionHeader">Damit du dich in dieser Rolle wohlf&uuml;hlst &amp; wir gemeinsam die beste Hardware entwickeln, bringst du folgendes mit</h1>
<ul><li>Deine Basis: Ein abgeschlossenes Studium der Elektrotechnik, Nachrichtentechnik oder einer vergleichbaren Fachrichtung.</li><li>
Fundierte Berufserfahrung: Du verf&uuml;gst &uuml;ber mehrj&auml;hrige (ca. 3&ndash;5 Jahre) relevante Berufserfahrung im industriellen Umfeld.</li><li>
Software &amp; Scripting: Du verf&uuml;gst &uuml;ber Kenntnisse in python oder einer vergleichbaren Script-Sprache oder hast Erfahrung in der Programmierung von embedded systems.</li><li>
Laborger&auml;te: Du hast Kenntnisse im Umgang mit Laborger&auml;ten wie Oszilloskopen oder Video-Analyzern.</li><li>
Video &amp; Kamera-Schnittstellen: Du interessierst dich f&uuml;r Video- und Kameraschnittstellen und verf&uuml;gst &uuml;ber erste Kenntnisse in einer der Schnittstellen: DP, HDMI, MIPI, automotive Ethernet oder PCI.</li><li>
Mindset: Du kannst dich f&uuml;r komplexe elektronische Probleme begeistern und hast Spa&szlig; daran, neue Produkte in Betrieb zu nehmen. Du stehst gern mit Rat und Tat zur Seite und kommunizierst sicher auf Deutsch und Englisch.</li></ul>
Das rundet dein Profil ab (Nice-to-have):
<ul><li>PCB Design: Du hast Erfahrung in der PCB-Entwicklung (Altium Designer).</li><li>
FPGA Design: Du verf&uuml;gst &uuml;ber erste Kenntnisse im FPGA Design in Verilog oder VHDL.
</li><li>Statistik: Du verf&uuml;gst &uuml;ber Statistikkenntnisse und bist in der Lage, komplexe Probleme zu analysieren und deine Schlussfolgerungen darzustellen.</li></ul>
<h1 class="jobSectionHeader">Wir bieten dir</h1>
<ul><li>Du arbeitest bei Deutschlands Innovationsf&uuml;hrer in der Halbleiterindustrie, einem kontinuierlich profitabel wachsenden Unternehmen mit gesunder Basis</li><li>
Ausstattung, Tools und R&auml;ume auf der H&ouml;he der Technologie, die wir entwickeln</li><li>
Weiterentwicklungspfade, die zu dir passen - fachlich wie pers&ouml;nlich</li><li>
Du arbeitest haupts&auml;chlich aus unseren B&uuml;ror&auml;umen in M&uuml;nchen, die M&ouml;glichkeit f&uuml;r Homeoffice &amp; Workation besteht</li><li>
Faire Verg&uuml;tung &uuml;ber Branchenniveau: Was du leistest, wird gesehen und honoriert</li><li>
Betriebliche Zusatzleistungen: Altersvorsorge sowie Gruppenunfall- und Auslandsreisekrankenversicherung sowohl im Dienst als auch in deiner Freizeit</li><li>
Attraktive Corporate Benefits: z. B. Fahrrad-Leasing (Business Bike), bezuschusstes Essen in der Kantine sowie t&auml;glich frisches Obst und kostenfreie Getr&auml;nke</li><li>
Gemeinsame Team- und Firmenevents</li></ul>
<h2 class="jobSectionHeader">Klingt das gut? 
Dann bewerben Sie sich jetzt als Senior Application Engineer - Digital (m/f/d) in M&uuml;nchen. 
Wir freuen uns auf Sie!</h2></div>

Senior Application Engineer - Digital (m/f/d)

Manex AI

<div><h1 class="jobSectionHeader">AI Software Engineer (f/m/d)</h1><div>
</div><h2 class="jobSectionHeader">
About Us</h2>
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.<div> 
</div><h2 class="jobSectionHeader">
Your Role</h2>
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.
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.<div> 
</div><h2 class="jobSectionHeader">
Your Responsibilities</h2><ul><li>
Direct software and AI application development within customer projects</li><li>
Troubleshoot, document, co-create solutions alongside senior software engineers, and drive product development</li><li>
Support technical integration of our platform into customer IT landscapes</li><li>
Learn how production processes, IT infrastructure and AI products intersect</li><li>
Translate customer requirements into technical solutions and specifications</li></ul><div> 
</div><h2 class="jobSectionHeader">
Your Profile</h2><ul><li>
Degree in Computer Science, Information Systems, or similar</li><li>
0 to 4 years professional experience or internships in software engineering or similar</li><li>
Hands-on experience through projects, ventures, or product development</li><li>
Curiosity for manufacturing, how factories actually run, newest tech, product development, and beyond</li><li>
Business-fluent in German and English</li><li>
Based in Munich or willing to relocate, ready to go all-in with us</li></ul><div> 
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What We Offer</h2><ul><li>
Unique opportunity to become part of a top-tier team with hands-on responsibility and learn how to build lasting collaborations with leading customers</li><li>
Mentorship &amp; fast learning curve in a high-impact AI-Startup environment, incl. flat hierarchy, direct access to founders, and fast decisions</li><li>
Top-of-market compensation with equity package</li><li>
Develop a best-in-class network (funding, industry, and talent) in Europe and the US</li><li>
A fast-paced environment backed by the world's best investors with the world's leading organizations as customers</li></ul><div></div> 
Are you willing to start contributing to European autonomy at scale? Apply now!</div>

AI Software Engineer (f/m/d)

<div><h1 class="jobSectionHeader">AI Software Engineer - Internship (f/m/d)</h1><div></div> 
About Us 
Manex AI is on a mission to enable autonomy for the world's leading organizations, currently building the production system for the era of autonomous manufacturing. With our Seed Round raised from Lightspeed and BlueYard and leading manufacturing enterprises relying on our systems, we are now scaling fast. For our world-class team, we are looking for exceptionally driven students who want real ownership early.
Your Role 
You will build the software and AI applications that power autonomous manufacturing. You work on our platform &quot;Kosmos&quot; alongside our engineers, shipping features and AI-driven solutions that go straight into live production environments at industry leaders including BMW, Audi, BSH, Stellantis, Still, TDK Electronics, and Co.
From your first week, you own pieces of real problems. You write code that goes into production, you see your work run inside real factories, and you learn exactly how technical decisions create measurable impact for some of the most demanding manufacturers in the world.
For interns who deliver, this is the fastest path into a full-time engineering role.
Your Responsibilities<ul><li>
Build software and AI application features within real customer projects</li><li>
Work alongside senior engineers to troubleshoot, document, and ship solutions</li><li>
Support the technical integration of our platform into customer environments</li><li>
Turn concrete customer requirements into working technical solutions</li><li>
Learn how production processes, IT infrastructure, and AI products come together</li></ul>
Your Profile<ul><li>
Currently studying Computer Science, Information Systems, or similar, towards the end of your Bachelor's or the start of your Master's</li><li>
Strong hands-on coding ability, proven through your own projects, ventures, or open-source work</li><li>
An ownership mindset: you take initiative, move fast, and finish what you start</li><li>
Ideally strong experience in Python, TypeScript and Docker</li><li>
Fluent in English and ideally in German as well</li><li>
Based in Munich or willing to relocate for the duration of the internship</li></ul>
We appreciate your application even if you don't tick all the boxes.
What We Offer<ul><li>
Real ownership from day one</li><li>
A fast-track into a full-time role
</li><li>Direct mentorship from senior engineers and direct access to founders</li><li>
Hands-on experience onsite with real customers, real production systems, and frontier AI</li><li>
A fast-paced environment backed by the world's best investors, with the world's leading organizations as customers</li></ul> 
Want to build real things at the edge of industrial AI? Apply now.</div>

AI Software Engineer - Internship (f/m/d)

BMW Group

<div>
 
 ARE YOU PREPARED FOR THE FUTURE? AI, AI SIR!
 
 
 
 Artificial Intelligence and machine learning are at the cutting edge when it comes to shaping next-gen mobility in areas like automated driving. But it takes real intellectual leadership and expertise to identify and then harness the AI trends and technologies that will transform the way people travel for good.
 
 
 We are an international team of experts shaping the future of intelligent mobility by developing privacy-first data and model solutions for BMW&rsquo;s next-generation edge AI products. Together, we enable fast iteration and innovation for the BMW Intelligent Personal Assistant.
 
 
 
 What awaits you?
 
 
 
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 You design data pipelines for ingestion, curation, pseudonymization, and versioning.
 </li>
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 Furthermore, you implement reproducible training and finetuning builds for GenAI edge device models.
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 You set up experiment tracking and artifact registries for model variants.
 </li>
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 Additionally, you build evaluation suites covering relevant KPIs such as latency, memory, hallucination, safety, and harms.
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 You optimize dataset construction for small LLMs, including instruction tuning, preference data, and synthetic data with controls.
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 You build and operate the data pipelines and provide self-serve tools for the team.
 
 
 
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 </ul>
 
 What should you bring along?
 
 
 
 <ul>
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 University degree in Computer Science, Engineering, or a related field.
 </li>
 <li>
 Several years of experience in machine learning engineering with Python (PyTorch) and strong software fundamentals in testing, profiling, and CI/CD.
 </li>
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 Practical knowledge of evaluation at scale, including golden sets, online metrics, drift detection, and regression testing.
 </li>
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 Experience with A/B experimentation, basics of causal inference, and privacy-preserving learning patterns.
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 Motivation to embrace customer problems and find innovative solutions using available technologies.
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 You enjoy working on complex problems in an international in-house team of experts.
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 Professional English proficiency; German is a plus.
 
 
 
 </li>
 </ul>
 Are you ready to take proactive action with a hands-on mentality, strong problem-solving skills, and excellent cross-functional communication? Apply now!
 
 
 Find out more about Artificial Intelligence at the BMW Group here.
 
 
 
 Note:
 
 Please apply exclusively online via our career portal. Applications via other channels (esp. e-mail) cannot be considered.
 
 
 
 What do we offer?
 
 
 
 <ul>
 <li>
 Challenging projects with which we are shaping the mobility of tomorrow together.
 </li>
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 Wide range of personal and professional development opportunities.
 </li>
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 Attractive, fair and performance-related remuneration.
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 High level of job security.
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 Annual special payments such as vacation pay, Christmas bonus, and profit sharing.
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 Flexible working hours including 6 weeks annual leave and overtime compensation.
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 Discounted BMW &amp; MINI conditions.
 </li>
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 Many other benefits at bmw.jobs/benefits
 
 
 
 </li>
 </ul>
 
 Start date:
 
 from now on
 
 
 
 Type of employment:
 
 unlimited
 
 
 
 Working hours:
 
 Full-time
 
 
 If you apply, the next stages of the recruiting process include online testing and then technical interviews with the hiring manager (either virtual or in person).
 
 
 You can find helpful tips on your application and the application process here.
 
 
 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.
 
 
 Senior Applied AI / ML Data Engineer (f/m/x)
</div>

Senior Applied AI / ML Data Engineer (f/m/x)

Explore 162+ Ai engineer for llm ops evaluation m f d in Munich this July. Find roles across top companies and apply now to boost your career.