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(senior) software engineer (f/m/x) Jobs in Munich

(senior) software engineer (f/m/x)

(senior) software engineer (m/f/d) bess tech team 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

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>AI Software Engineer - Internship (f/m/d)</b></h1><div></div><p><b><br>
About Us</b><br>
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.</p><p><b>
Your Role</b><br>
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.</p><p>
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.</p><p>
For interns who deliver, this is the fastest path into a full-time engineering role.</p><p><b>
Your Responsibilities</b></p><ul><li><p>
Build software and AI application features within real customer projects</p></li><li><p>
Work alongside senior engineers to troubleshoot, document, and ship solutions</p></li><li><p>
Support the technical integration of our platform into customer environments</p></li><li><p>
Turn concrete customer requirements into working technical solutions</p></li><li><p>
Learn how production processes, IT infrastructure, and AI products come together</p></li></ul><p><b>
Your Profile</b></p><ul><li><p>
Currently studying Computer Science, Information Systems, or similar, towards the end of your Bachelor's or the start of your Master's</p></li><li><p>
Strong hands-on coding ability, proven through your own projects, ventures, or open-source work</p></li><li><p>
An ownership mindset: you take initiative, move fast, and finish what you start</p></li><li><p>
Ideally strong experience in Python, TypeScript and Docker</p></li><li><p>
Fluent in English and ideally in German as well</p></li><li><p>
Based in Munich or willing to relocate for the duration of the internship</p></li></ul><p>
We appreciate your application even if you don't tick all the boxes.</p><p><b>
What We Offer</b></p><ul><li><p>
Real ownership from day one</p></li><li><p>
A fast-track into a full-time role
</p></li><li><p>Direct mentorship from senior engineers and direct access to founders</p></li><li><p>
Hands-on experience onsite with real customers, real production systems, and frontier AI</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><p><br>
Want to build real things at the edge of industrial AI? Apply now.</p></div>

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

mLabs

<div><p><b>Location: </b>Remote - If based in NYC, will require office presence 2/3 days a week, for LATAM and European regions will be expected to work EST hours with a 5 hour overlap.</p><p><b>
Remote/Hybrid | Full-time</b></p><p><b>
Compensation: </b>$140K - $200K</p><p></p><p>
We are hiring on behalf of our client, an innovative technology firm who is seeking an experienced Full-Stack AI Engineer to join a growing, AI-focused engineering team. The client develops advanced intelligence and analytics solutions designed to help participants in digital asset markets make more informed decisions by combining financial data, automation, and modern AI technologies to transform complex information into actionable insights.</p><p>
In this role, the successful candidate will work closely with product, research, and engineering leadership to develop next-generation, AI-powered financial applications. This is a highly collaborative position that requires strong ownership, technical depth, and the ability to move quickly from concept to production.</p><p></p><p><b>
Key Responsibilities</b></p><p><b>
Full-Stack Product Development</b></p><ul><li><b>
Architecture &amp; Maintenance:</b> Architect, develop, and maintain end-to-end applications powering AI-driven financial products.</li><li><b>
Backend &amp; APIs:</b> Build scalable backend services and APIs that support intelligent workflows and automated decision-making.</li><li><b>
UI Development:</b> Create intuitive, high-performance user interfaces that surface complex insights and enable interactive experiences.</li><li><b>
Real-Time Systems:</b> Design systems that support real-time communication between users, data sources, and AI components.</li></ul><p></p><p><b>
AI &amp; Data Integration</b></p><ul><li><b>
Cross-Functional Collaboration:</b> Partner with research and machine learning teams to integrate AI capabilities into production environments.</li><li><b>
Data Pipelines:</b> Implement and maintain pipelines that ingest, process, and manage structured and unstructured financial data.</li><li><b>
Operationalization:</b> Support the deployment and operationalization of AI-powered features and workflows.</li></ul><p></p><p><b>
Engineering Excellence</b></p><ul><li><b>
Standards &amp; Reliability:</b> Establish testing, observability, monitoring, and reliability standards across applications and services.</li><li><b>
Optimization:</b> Optimize system performance, scalability, and maintainability.</li><li><b>
Technology Evaluation:</b> Evaluate and adopt emerging technologies across AI, software engineering, and financial infrastructure.</li></ul><p></p><p><b>
Continuous Learning</b></p><ul><li><b>
Industry Trends:</b> Stay informed on developments in large language models, agent frameworks, financial technologies, and modern web architectures.</li><li><b>
Best Practices:</b> Contribute to technical discussions and help shape engineering best practices across the organization.</li></ul><br>
<b>
Requirements</b><p><b><br>
Required Qualifications</b></p><ul><li><b>
Experience:</b> 5+ years of professional experience building full-stack applications.</li><li><b>
Backend Expertise:</b> Strong programming experience with Python, including modern API frameworks such as FastAPI. Advanced proficiency in JavaScript and TypeScript, with extensive experience developing applications using Node.js.</li><li><b>
Frontend Expertise:</b> Advanced proficiency in React for building user interfaces.</li><li><b>
System Design:</b> Demonstrated success building scalable web platforms, APIs, and backend services, alongside a strong understanding of both relational and non-relational database technologies.</li><li><b>
AI &amp; Agent Architecture:</b> Deep knowledge of prompt design, tool-calling architectures, Model Context Protocol (MCP), and agent orchestration patterns. Experience deploying and operating AI agents or autonomous workflow systems in production environments.</li><li><b>
Information Retrieval:</b> Experience building embedding pipelines, semantic retrieval systems, and advanced search capabilities. Familiarity with vector search technologies, retrieval-augmented generation (RAG), and asynchronous application patterns.</li><li><b>
AI Frameworks:</b> Hands-on experience developing solutions using large language models and AI orchestration frameworks (e.g., LangChain or comparable technologies).</li><li><b>
Domain Knowledge:</b> Experience working with financial datasets, market data, or financial service APIs.</li><li><b>
Professional Attributes:</b> Ability to operate comfortably in fast-moving environments with significant autonomy and ownership.</li></ul><p></p><p><b>
Preferred Qualifications</b></p><ul><li><b>
Location:</b> Located in the United States, Latin America, or Europe, with flexibility to collaborate across time zones.</li><li><b>
Performance Tuning:</b> Strong understanding of application profiling, scalability optimization, and performance tuning.</li><li><b>
Track Record:</b> A history of success within high-growth, collaborative engineering organizations.</li><li><b>
Digital Assets:</b> Exposure to blockchain infrastructure, smart contracts, decentralized finance (DeFi), or digital asset ecosystems.</li></ul><br>
<b>
Benefits</b><br>
<ul><li>
Competitive compensation package.</li><li>
Opportunity to work at the intersection of cutting-edge AI and digital asset markets.</li><li>
Highly autonomous and collaborative work environment.</li><li>
Remote-friendly flexibility across eligible regions.</li></ul><p><br>
</p><p></p><p><b>Due to the high volume of applications we anticipate, we regret that we are unable to provide individual feedback to all candidates. If you do not hear back from us within 4 weeks of your application, please assume that you have not been successful on this occasion. We genuinely appreciate your interest and wish you the best in your job search.</b></p><p><b>
Commitment to Equality and Accessibility:</b></p><p>
At MLabs, we are committed to offer equal opportunities to all candidates. We ensure no discrimination, accessible job adverts, and providing information in accessible formats. Our goal is to foster a diverse, inclusive workplace with equal opportunities for all. If you need any reasonable adjustments during any part of the hiring process or you would like to see the job-advert in an accessible format please let us know at the earliest opportunity by emailing human-resources@mlabs.city.</p><p></p><p>
MLabs Ltd collects and processes the personal information you provide such as your contact details, work history, resume, and other relevant data for recruitment purposes only. This information is managed securely in accordance with MLabs Ltd&rsquo;s Privacy Policy and Information Security Policy, and in compliance with applicable data protection laws. Your data may be shared only with clients and trusted partners where necessary for recruitment purposes. You may request the deletion of your data or withdraw your consent at any time by contacting legal@mlabs.city.</p></div><p></p>

Full Stack AI Engineer

BMW Group

<div><div><p><b>INNOVATION IS IMAGINING WHAT NO ONE ELSE CAN.</b></p><p>
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.</p>
</div><div><p>We specialise in AI, GenAI and Generative Design, driving the identification, industrialisation and scaling of new technologies in practical applications. By combining openness, a pioneering mindset and strong delivery capabilities, we actively shape the future of BMW.</p><p><b>
What awaits you?</b></p><ul><li>
In this role, you will design, build and industrialise production-ready AI and GenAI solutions across different business domains.</li><li>
Moreover, you will take technical ownership for selected AI initiatives, from problem framing and architecture to implementation, evaluation and deployment into production.</li><li>
At the same time, you will work in dynamic cross-functional teams, applying your AI engineering expertise to different enterprise use cases, processes and data environments.</li><li>
You will build scalable AI systems, including model integration, orchestration, retrieval, evaluation, monitoring, guardrails and deployment.</li><li>
Furthermore, you will challenge existing solution approaches and bring external cutting-edge AI engineering expertise into the organisation.</li><li>
You will also define reusable engineering patterns, technical standards and best practices for AI solutions.</li><li>
In addition, you will support less experienced engineers through technical guidance, code reviews and hands-on enablement.</li></ul><p><b>
What should you bring along?</b></p><ul><li>
University degree in Computer Science, Mathematics, Physics, Engineering or a comparable technical field.
</li><li>At least 5 years of professional software engineering experience, with strong hands-on Python skills.
</li><li>At least 3 years of practical experience in building and industrialising AI, GenAI or ML-based systems in production or production-like environments.
</li><li>Strong understanding of modern AI system design, including LLM integration, orchestration, RAG, evaluation, monitoring, APIs and deployment.
</li><li>Practical experience with cloud-based engineering environments, preferably AWS or Azure, including CI/CD and modern DevOps practices.
</li><li>Ability to take technical ownership in ambiguous situations and translate complex business problems into scalable AI solutions.
</li><li>Willingness and proven ability to work across changing domains, teams and use cases rather than focusing on one fixed product area.
</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></p><p><br>
If you apply, the next steps in the selection process include an online test and subsequent 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.</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><p></p>
<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>173145</div>
<div>Publication Date:</div>
<div>23.05.2026</div></div>

Senior Agentic AI Engineer (f/m/x)

Integrity Next

<div><h4 class="jobSectionHeader"><b>Join us!</b></h4><p>
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.<br>
As <b>AI Application Engineer (m/f/d)</b>, 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.<br>
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.<br>
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.</p><h4 class="jobSectionHeader"><b><br>
What can you expect?</b></h4><p><b>
Build agentic AI product capabilities</b></p><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><b>
Work with structured, unstructured, web, and document data</b><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><b>
Improve AI quality, reliability, and production readiness</b><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><b>
Contribute across product and engineering layers</b><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><p></p><h4 class="jobSectionHeader"><b>
What should you bring along?</b></h4><p><b>
Experience &amp; Domain Focus</b></p><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><b>
Technical / Methodological Skills</b><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><b>
Ways of Working &amp; Mindset</b><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><b>
Communication &amp; Collaboration</b><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><b>
Nice to have</b><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><p></p><h4 class="jobSectionHeader"><b>
What do we offer?</b></h4><p></p><h3 class="jobSectionHeader"><b>
Purpose &amp; Impact</b></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"><b>
Attractive Benefits</b></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"><b>
Modern Work Environment &amp; Flexibility</b></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"><b>
Great Team</b></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"><b>
Flat Hierarchies &amp; Ownership</b></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><p></p><h4 class="jobSectionHeader"><b><br>
Application process</b></h4><p><i>
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.</i></p><h4 class="jobSectionHeader"><b>
About us</b></h4><p>
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.<br>
<br>
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.</p></div>

Full Stack AI Engineer (m/f/d)

Bending Spoons

<div>
 At Bending Spoons, we&rsquo;re striving to build one of the all-time great companies. A company that serves a huge number of customers. A company where team members grow to their full potential. A company that functions at unparalleled levels of effectiveness and efficiency. A company that creates value for shareowners at an extraordinary rate. And a company that does so while adhering to high ethical standards.
 <br/>
 <br/>
 In pursuit of this objective, we acquire and improve digital businesses, not to sell on, but to own and operate for the long term. The transformations we make are often deep&mdash;designed to speed up innovation, benefit customers, and strengthen business performance. Here, hierarchy is minimal and teams are small and talent-dense. We operate established products with the ambition, agility, and urgency of a startup. Across the company, we integrate AI deeply into how we work so that human judgment and machine intelligence reinforce each other.
 <br/>
 <br/>
 For a talented, driven, and collaborative individual, working at Bending Spoons is an opportunity to learn, make an impact, and progress their career at an exceptionally high rate. That&rsquo;s our promise to such a candidate.
 <br/>
 <br/>
 <strong>
  A few examples of your responsibilities
 </strong>
 <ul>
  <li>
   <strong>
    Build software that matters.
   </strong>
   Take real ownership from idea to production, creating systems used by millions and evolving them into products at scale.
  </li>
  <li>
   <strong>
    Amplify your impact with AI.
   </strong>
   Integrate the most powerful AI tools directly into your development workflow&mdash;design, implementation, testing, and documentation&mdash;to move faster while maintaining high standards for correctness, reliability, and maintainability.
  </li>
  <li>
   <strong>
    Master your toolkit.
   </strong>
   Work across diverse stacks with end-to-end ownership, choosing the right technologies for each challenge. From monoliths to microservices, gRPC to REST, Kubernetes to Docker, Python to Rust&mdash;you&rsquo;ll apply technologies thoughtfully, focusing on depth and purpose rather than trends.
  </li>
  <li>
   <strong>
    Simplify relentlessly.
   </strong>
   Question every layer of complexity. Improve architectures, pipelines, and codebases to build systems that are simpler, more scalable, and easier to maintain.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  What we look for
 </strong>
 <ul>
  <li>
   <strong>
    Reasoning ability.
   </strong>
   Given the necessary knowledge, you can solve complex problems. You think from first principles, and structure your ideas sharply. You resist the influence of biases. You identify and take care of the details that matter.
  </li>
  <li>
   <strong>
    Drive.
   </strong>
   You&rsquo;re extremely ambitious in everything you do&mdash;and your initiative, effort, and tenacity match the intensity of your ambition. You feel deeply responsible for your work. You hold yourself to a high&mdash;and rising&mdash;bar.
  </li>
  <li>
   <strong>
    Team spirit.
   </strong>
   You give generously and without the expectation of receiving in return. You support the best idea, not your idea. You're always happy to get your hands dirty to help your team. You&rsquo;re reliable, honest, and transparent.
  </li>
  <li>
   <strong>
    Proficiency in English.
   </strong>
   You read, write, and speak proficiently in English.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  What we offer
 </strong>
 <ul>
  <li>
   <strong>
    Incredibly talented, entrepreneurial teams.
   </strong>
   You&rsquo;ll work in small, result-oriented, autonomous teams alongside some of the brightest people in your field.
  </li>
  <li>
   <strong>
    An exceptional opportunity for growth.
   </strong>
   We go to great lengths to hire individuals of outstanding potential&mdash;then, our priority is to put them in the ideal position to thrive. Spooners in their 20s lead products worth hundreds of millions of dollars. And if you&rsquo;ve got what it takes, you&rsquo;ll soon be playing an essential role in major projects, too.
  </li>
  <li>
   <strong>
    All. These. Benefits.
   </strong>
   Flexible hours, remote working, unlimited backing for learning and training, top-of-the-market health insurance, a rich relocation package, generous parental support, and a yearly retreat to a stunning location. We help each Spooner set up the conditions to do their best work.
  </li>
  <li>
   <strong>
    A flexible start date and part-time options.
   </strong>
   You don't need to wait until graduation to apply. We offer flexible start dates and the possibility to begin part-time, transitioning to full-time as you complete your degree. Many Spooners joined before graduating and progressively took on greater responsibility, with arrangements that allowed them to do so without compromising their education.
  </li>
  <li>
   <strong>
    Competitive pay and access to equity in the company.
   </strong>
   Typically, we offer individuals with limited experience an annual salary of &pound;85,797 in London and &euro;66,065 elsewhere in Europe. For a candidate that we assess as possessing considerable relevant experience, the salary on offer tends to be between &pound;112,189 and &pound;250,512 in London, and &euro;107,837 and &euro;188,848 elsewhere in Europe. Compensation varies by location and expected impact, and grows rapidly as you gain experience and translate it into greater contributions. For individuals who demonstrate exceptional capability, we may offer compensation that extends beyond the usual ranges to reflect their higher expected impact. If you're offered a permanent contract, you'll also be able receive some of your pay in company equity at a discounted price, thus participating in the value creation we achieve together. If relocating to Italy, you may enjoy a 50% tax cut.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Commitment &amp; contract
  <br/>
 </strong>
 Permanent or fixed-term. Full-time.
 <br/>
 <br/>
 <strong>
  Location
  <br/>
 </strong>
 Milan (Italy), London (UK), Madrid (Spain), Warsaw (Poland), or fully remote from eligible countries.
 <br/>
 <br/>
 <strong>
  The selection process
  <br/>
 </strong>
 In our screening process, we prioritize verifiable signals of excellence, regardless of seniority. There are no preferential paths beyond what your application demonstrates, and we evaluate every candidate through the same process.
 <br/>
 <br/>
 Some people hold back because they feel they lack experience or have an &ldquo;imperfect&rdquo; CV. If you like the role and believe you could excel over time, don&rsquo;t self-reject.
 <br/>
 <br/>
 All applications go through our careers page, which is the only way to be considered. If you pass our screening, you&rsquo;ll be asked to complete one or more tests. They are challenging, may involve unfamiliar problems, and can take several hours. To learn more about what to expect throughout the selection process, you can find additional information here.
 <br/>
 <br/>
 We set the bar high and won&rsquo;t extend an offer until we&rsquo;re confident we&rsquo;ve found the right candidate. This is why a job may remain open for months or be reposted several times.
 <br/>
 <br/>
 We consider all applicants for employment and provide reasonable accommodations for individuals with disabilities&mdash;please let us know through this form.
 <br/>
 <br/>
 <strong>
  Before you apply
  <br/>
 </strong>
 If you&rsquo;ve applied before but didn't receive an offer, we recommend waiting at least one year before applying again.
 <br/>
 <br/>
 Bending Spoons is a demanding environment. We&rsquo;re extremely ambitious and we hold ourselves&mdash;and one another&mdash;to a high standard. While this tends to lead to extraordinary learning, achievement, and career growth, it also requires significant commitment.
 <br/>
 <br/>
 To help you ramp up quickly and set yourself up for success, we expect you to spend most days in our Milan office during your first few months with us, regardless of your long-term work location. It&rsquo;s the best way to rapidly absorb our company culture and build trust with your new teammates. We&rsquo;ll support you with generous travel and accommodation assistance. After that, you&rsquo;re welcome to work from one of our offices, or remotely from approved countries&mdash;depending on what we agree at the offer stage.
 <br/>
 <br/>
 If the role speaks to you and you&rsquo;re excited to give your best, we&rsquo;d love to hear from you. Apply now&mdash;we can&rsquo;t wait to meet you.
</div>


Graduate software engineer

NVIDIA

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

Senior Software Engineer, Applied AI

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