automation engineer

AUGENTIC

<div>
 
 Job Description
 
 
 
 
 AUGENTIC - Driven by Technology
 
 
 
 AUGENTIC GmbH having its headquarters in Munich, Germany is a globally operating company in the business of digital identities and the related identity management solutions.
 
 
 Our projects range from the supply of components all the way through to turnkey solution projects. Using AUGENTIC&rsquo;s competencies and talents our worldwide government customers have a responsible, trustworthy and competent partner for the secure handling of the identity of their citizens.
 
 
 Founded by a team of well-known industry experts, AUGENTIC GmbH combines innovative power with many years of expertise enabling customers to benefit from tailor made solutions of exceptional and lasting quality.
 
 
 Our talents are a key asset to the company. Therefore, we put great efforts in individual development plans. So, are you interested in shaping the future and make this world a safer place together with us? You can expect exciting, varied tasks with the opportunity to actively shape the further development of the company.
 
 
 
 BE AUGENTIC!
 
 
 
 We are currently looking for a
 
 
 
 DevOps Engineer (m/f/d)
 
 
 
 
 for our headquarters in Munich:
 
 
 
 
 Role Overview:
 
 
 
 We are looking for an experienced DevOps Engineer to design, implement, and maintain the CI/CD pipelines, infrastructure, and automation processes for our on-premises identity management solutions. The ideal candidate will have extensive experience with on-premises environments, infrastructure as code, and security best practices. This role requires a proactive and innovative mindset to optimize system performance and reliability.
 
 
 This position is based in Munich, with frequent coordination with international teams and project stakeholders.
 
 
 
 Key Responsibilities:
 
 
 
 <ul>
 <li>
 Infrastructure &amp; On-Premises Management:
 </li>
 <ul>
 <li>
 Design, deploy, and maintain scalable on-premise infrastructure,
 </li>
 <li>
 Implement Infrastructure as Code (IaC) using Terraform, Ansible, or similar tools,
 </li>
 <li>
 Ensure high availability, resilience, and security of on-premise environments.
 
 
 </li>
 </ul>
 </ul>
 <ul>
 <li>
 CI/CD Pipeline Implementation:
 </li>
 <ul>
 <li>
 Develop and maintain automated CI/CD pipelines for application deployment,
 </li>
 <li>
 Integrate automated testing, security scans, and monitoring tools into CI/CD workflows.
 </li>
 <li>
 Optimize deployment strategies for minimal downtime and rollback capabilities.
 
 
 </li>
 </ul>
 </ul>
 <ul>
 <li>
 Automation &amp; Configuration Management:
 </li>
 <ul>
 <li>
 Automate deployment, scaling, and recovery processes using scripting languages such as Bash, Python, or PowerShell,
 </li>
 <li>
 Implement containerization and orchestration solutions using Docker and Kubernetes,
 </li>
 <li>
 Ensure seamless integration of DevOps tools into development and operational workflows,
 
 
 </li>
 </ul>
 </ul>
 <ul>
 <li>
 Monitoring, Logging &amp; Performance Optimization:
 </li>
 <ul>
 <li>
 Implement monitoring and logging solutions using Prometheus, Grafana, ELK Stack, or equivalent tools,
 </li>
 <li>
 Analyze system performance metrics and optimize resource utilization,
 </li>
 <li>
 Develop and maintain alerts and dashboards for real-time visibility.
 
 
 </li>
 </ul>
 </ul>
 <ul>
 <li>
 Security &amp; Compliance:
 </li>
 <ul>
 <li>
 Ensure security best practices, including identity and access management (IAM), encryption, and network, security,
 </li>
 <li>
 Implement compliance controls for GDPR, ISO/IEC 27001, and other industry standards,
 </li>
 <li>
 Conduct regular security audits and vulnerability assessments.
 
 
 </li>
 </ul>
 </ul>
 <ul>
 <li>
 Collaboration &amp; Agile Development:
 </li>
 <ul>
 <li>
 Work closely with development, QA, and operations teams to streamline workflows,
 </li>
 <li>
 Participate in sprint planning, retrospectives, and technical discussions,
 </li>
 <li>
 Provide guidance and mentoring to junior DevOps engineers.
 
 </li>
 </ul>
 </ul>
 
 Requirements
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Software Engineering, or a related field,
 </li>
 <li>
 Minimum of 7 years of experience in DevOps, infrastructure engineering, or on-premise environment management,
 </li>
 <li>
 Extensive experience with on-premises infrastructure design and maintenance,
 </li>
 <li>
 Strong proficiency in Infrastructure as Code (Terraform, Ansible, etc.),
 </li>
 <li>
 Experience with containerization (Docker, Kubernetes) and microservices architecture,
 </li>
 <li>
 Knowledge of CI/CD tools such as Jenkins, GitLab CI/CD, or GitHub Actions,
 </li>
 <li>
 Expertise in system monitoring, logging, and observability solutions,
 </li>
 <li>
 Strong scripting skills in Bash, Python, or PowerShell,
 </li>
 <li>
 Familiarity with security best practices in on-premises environments,
 </li>
 <li>
 Excellent problem-solving and analytical skills,
 </li>
 <li>
 Strong collaboration and communication abilities.
 </li>
 <li>
 Fluency in English; knowledge of Portuguese, French, or German is a plus.
 
 
 </li>
 </ul>
 
 Benefits
 
 
 
 <ul>
 <li>
 A responsible position with room for creativity and development,
 </li>
 <li>
 An international working environment characterized by team spirit and mutual appreciation,
 </li>
 <li>
 An extraordinary and exciting product portfolio,
 </li>
 <li>
 Flat hierarchies,
 </li>
 <li>
 Flexible working hours,
 </li>
 <li>
 Modern office environment,
 </li>
 <li>
 Company Health Insurance
 </li>
 </ul>
</div>

DevOps Engineer (m/f/d)

Wellster Healthtech Group

<div>We're looking for an Analytics Engineer who enjoys turning raw data into reliable, trusted datasets that drive business decisions. You'll work closely with product, engineering, and business stakeholders to build scalable data models, improve tracking quality, and enable self-service analytics.
This role combines strong SQL skills with analytics engineering best practices and a solid understanding of digital product tracking.
Your tasks would be...<ul><li>
Build, maintain, and optimize scalable data models using dbt</li></ul><ul><li>
Develop reliable, well-documented datasets for reporting and business analysis</li><li>
Write efficient and maintainable SQL queries for complex analytical use cases</li><li>
Maintain and improve event tracking using Google Analytics 4 (GA4)</li><li>
Collaborate closely with Product and Engineering teams to design tracking concepts and ensure high data quality</li><li>
Validate new tracking implementations and investigate data discrepancies</li><li>
Implement and maintain data quality tests and monitoring within dbt</li><li>
Support BI dashboards and reporting by creating trusted and reusable data sources</li><li>
Continuously improve the analytics engineering stack, processes, and best practices</li><li>
Have strong SQL skills and experience working with large-scale datasets</li></ul><ul><li>
Bring hands-on experience with dbt, including models, tests, documentation, and incremental models</li><li>
Have experience implementing and validating Google Analytics 4 (GA4) tracking</li><li>
Understand event-based analytics and digital product measurement</li><li>
Have worked with modern cloud data warehouses such as BigQuery, Snowflake, or Redshift</li><li>
Are familiar with Git and collaborative development workflows</li><li>
Possess strong analytical thinking and problem-solving skills</li><li>
Communicate effectively with both technical and non-technical stakeholders</li><li>
Ideally have experience with orchestration tools such as Airflow, Dagster, or Prefect</li><li>
Have experience with BI platforms such as Looker, Tableau, Power BI, or Metabase</li><li>
Have knowledge of JavaScript or Google Tag Manager for tracking implementations</li><li>
Bring experience with experimentation (A/B testing) and product analytics</li><li>
Are familiar with Python for data processing or automation</li></ul></div>

Analytics Engineer (m/f/d)

CLERA

<div><h3 class="jobSectionHeader">About the Role</h3>
Join a well-funded, early-stage startup bringing AI agents to a highly specialised professional services industry. This is a hands-on, end-to-end engineering role: you will design, build, ship, and continuously improve production AI agents that automate repetitive, high-value workflows for real customers. You will work directly with those customers, translate what you observe into reliable automations, and own everything from prototype to production monitoring.
The team moves fast, values measurable impact, and expects every engineer to take full ownership of the problems they pick up.<h3 class="jobSectionHeader">
What You'll Do</h3><ul><li>
Convert observed customer workflows into autonomous AI agents that perform work end-to-end.</li><li>
Collaborate directly with customers to understand their operations, surface automation opportunities, and iterate on solutions.</li><li>
Ship automations that replace hours of manual, repetitive effort and demonstrably improve user efficiency.</li><li>
Own production AI agents across their full lifecycle: build, deploy, monitor, and improve.</li><li>
Run structured experiments with new models, prompting techniques, and use cases; benchmark results and ship what works.</li><li>
Design thoughtful AI &times; Human interfaces that make automation practical and trustworthy for professional users.</li><li>
Instrument systems with observability tooling &mdash; metrics, dashboards, and alerts &mdash; to ensure reliability at scale.</li></ul><h3 class="jobSectionHeader">
What We're Looking For</h3>
Must-haves (dealbreakers):<ul><li>
5+ years of experience in ML/AI product development, with a strong track record of building and delivering production-grade AI agents.</li><li>
Demonstrated experience shipping LLM-based systems in production (not just prototypes).</li><li>
Proven end-to-end ownership of production AI agents: build deploy monitor improve.</li></ul>
Required skills &amp; experience:<ul><li>
Strong Python programming skills; comfortable shipping production-quality Python code.</li><li>
Experience turning observed real-world workflows into deployable AI automations.</li><li>
Ability to gather requirements directly from customers and translate them into working software.</li><li>
Product-minded approach &mdash; you think about the user experience, not just the model performance.</li></ul>
Nice to have:<ul><li>
Experience designing AI interfaces for human-AI collaboration.</li><li>
Systematic experimentation and benchmarking of models and techniques.</li><li>
Observability and monitoring experience for AI systems (metrics, dashboards, alerting).</li><li>
Background in or exposure to professional services, fintech, or compliance-heavy industries.</li></ul><h3 class="jobSectionHeader">
Location</h3>
This role is on-site in Munich, Bavaria, Germany. Candidates must be willing and able to work from the Munich office. Visa sponsorship is not available &mdash; applicants must already have the right to work in Germany.<h3 class="jobSectionHeader">
Compensation &amp; Benefits</h3>
Compensation details were not specified for this role. You will be joining an early-stage, seed-funded startup where equity upside and direct impact are significant parts of the overall package. Specifics will be discussed during the interview process.</div>

Member of Technical Staff, Product (AI Agents)

Mindrift

<div>
 
 Mindrift is looking for highly skilled Python Data Scraping Engineers to join the Tendem project and drive specialized data scraping workflows within our hybrid AI + human system.
 
 
 
 In this role, as an AI Pilot - that's how we refer to this role at Mindrift - you'll collaborate with Tendem Agents that handle repetitive tasks, while you provide critical thinking, domain expertise, and quality control to deliver accurate and actionable results.
 
 
 This part-time remote opportunity is ideal for technical professionals with hands-on experience in web scraping, data extraction and processing.
 
 
 
 What We Do
 
 
 
 The Mindrift platform connects specialists with AI projects from major tech innovators. Our mission is to unlock the potential of Generative AI by tapping into real-world expertise from across the globe.
 
 
 
 About The Role
 
 
 
 This is a freelance role for a Tendem project. As a Python Data Scraping Engineer, you'll handle data scraping tasks requiring technical precision for web extraction and processing, utilizing various tools such as our provided Apify and OpenRouter alongside your own resourceful approaches.
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Own end-to-end data extraction workflows across complex websites, ensuring complete coverage, accuracy, and reliable delivery of structured datasets.
 </li>
 <li>
 Leverage internal tools (Apify, OpenRouter) alongside custom workflows to accelerate data collection, validation, and task execution while meeting defined requirements.
 </li>
 <li>
 Ensure reliable extraction from dynamic and interactive web sources, adapting approaches as needed to handle JavaScript-rendered content and changing site behavior.
 </li>
 <li>
 Enforce data quality standards through validation checks, cross-source consistency controls, adherence to formatting specifications, and systematic verification prior to delivery.
 </li>
 <li>
 Scale scraping operations for large datasets using efficient batching or parallelization, monitor failures, and maintain stability against minor site structure changes
 
 
 </li>
 </ul>
 
 Compensation
 
 
 
 On this project, contributors can earn up to
 
 $37 per hour equivalent
 
 , depending on their level and pace of contribution.
 
 
 Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.
 
 
 
 How To Get Started
 
 
 
 Simply apply to this post, qualify, and get the chance to contribute to projects that match your technical skills, on your own schedule. From coding and automation to fine-tuning AI outputs, you'll play a key role in advancing AI capabilities and real-world applications.
 
 
 
 Requirements
 
 
 
 <ul>
 <li>
 At least 3 year of relevant experience in data engineering, web scraping, automation, or software development (required).
 </li>
 <li>
 Bachelor's or Master's Degree in Engineering, Applied Mathematics, Computer Science, or related technical fields is a plus
 </li>
 <li>
 Strong experience in Python web scraping (BeautifulSoup, Selenium or similar), including dynamic content (JS, AJAX, infinite scroll) and APIs via proxies
 </li>
 <li>
 Proven ability to extract data from complex structures (hierarchies, archived pages, inconsistent HTML)
 </li>
 <li>
 Solid background in data cleaning, normalization, and validation, delivering structured datasets (CSV, JSON, Google Sheets)
 </li>
 <li>
 Hands-on experience with LLMs and AI frameworks to enhance automation and problem-solving
 </li>
 <li>
 Strong attention to detail and commitment to data accuracy
 </li>
 <li>
 Self-directed work ethic with ability to troubleshoot independently
 </li>
 <li>
 A link to GitHub is a plus
 </li>
 <li>
 English proficiency: Upper-intermediate (B2) or above (required)
 
 
 </li>
 </ul>
 
 Benefits
 
 
 
 
 Why this freelance opportunity might be a great fit for you?
 
 
 
 <ul>
 <li>
 Work fully remote on your own schedule with just a laptop and stable internet connection.
 </li>
 <li>
 Gain hands-on experience in a unique hybrid environment where human expertise and AI agents collaborate seamlessly &mdash; a distinctive skill set in a rapidly growing field.
 </li>
 <li>
 Participate in performance-based bonus programs that reward high-quality work and consistent delivery
 </li>
 </ul>
</div>

Freelance Data Scraping Engineer (Python)

Clera

<div>
 
 About The Role
 
 
 
 Join a well-funded, early-stage startup bringing AI agents to a highly specialised professional services industry. This is a hands-on, end-to-end engineering role: you will design, build, ship, and continuously improve production AI agents that automate repetitive, high-value workflows for real customers. You will work directly with those customers, translate what you observe into reliable automations, and own everything from prototype to production monitoring.
 
 
 The team moves fast, values measurable impact, and expects every engineer to take full ownership of the problems they pick up.
 
 
 What You'll Do
 
 
 <ul>
 <li>
 Convert observed customer workflows into autonomous AI agents that perform work end-to-end.
 </li>
 <li>
 Collaborate directly with customers to understand their operations, surface automation opportunities, and iterate on solutions.
 </li>
 <li>
 Ship automations that replace hours of manual, repetitive effort and demonstrably improve user efficiency.
 </li>
 <li>
 Own production AI agents across their full lifecycle: build, deploy, monitor, and improve.
 </li>
 <li>
 Run structured experiments with new models, prompting techniques, and use cases; benchmark results and ship what works.
 </li>
 <li>
 Design thoughtful AI &times; Human interfaces that make automation practical and trustworthy for professional users.
 </li>
 <li>
 Instrument systems with observability tooling &mdash; metrics, dashboards, and alerts &mdash; to ensure reliability at scale.
 
 
 </li>
 </ul>
 What We're Looking For
 
 
 
 Must-haves (dealbreakers):
 
 
 
 <ul>
 <li>
 5+ years of experience in ML/AI product development, with a strong track record of building and delivering production-grade AI agents.
 </li>
 <li>
 Demonstrated experience shipping LLM-based systems in production (not just prototypes).
 </li>
 <li>
 Proven end-to-end ownership of production AI agents: build &rarr; deploy &rarr; monitor &rarr; improve.
 
 
 </li>
 </ul>
 
 Required skills &amp; experience:
 
 
 
 <ul>
 <li>
 Strong Python programming skills; comfortable shipping production-quality Python code.
 </li>
 <li>
 Experience turning observed real-world workflows into deployable AI automations.
 </li>
 <li>
 Ability to gather requirements directly from customers and translate them into working software.
 </li>
 <li>
 Product-minded approach &mdash; you think about the user experience, not just the model performance.
 
 
 </li>
 </ul>
 
 Nice to have:
 
 
 
 <ul>
 <li>
 Experience designing AI interfaces for human-AI collaboration.
 </li>
 <li>
 Systematic experimentation and benchmarking of models and techniques.
 </li>
 <li>
 Observability and monitoring experience for AI systems (metrics, dashboards, alerting).
 </li>
 <li>
 Background in or exposure to professional services, fintech, or compliance-heavy industries.
 
 
 </li>
 </ul>
 Location
 
 
 This role is
 
 on-site in Munich, Bavaria, Germany
 
 . Candidates must be willing and able to work from the Munich office.
 
 Visa sponsorship is not available
 
 &mdash; applicants must already have the right to work in Germany.
 
 
 
 Compensation &amp; Benefits
 
 
 
 Compensation details were not specified for this role. You will be joining an early-stage, seed-funded startup where equity upside and direct impact are significant parts of the overall package. Specifics will be discussed during the interview process.
 
 
</div>

Proxima Fusion

<div>
 
 Who We Are
 
 
 
 At Proxima Fusion, we're driven by a bold mission &ndash; to redefine the future of sustainable energy. Our unique concept, built upon the groundbreaking W7-X stellarator and the latest advances in technology, paves the way for commercially viable fusion power plants.
 
 
 What&rsquo;s more, our work in stellarator optimization, powered by cutting-edge computation and machine learning, is propelling us into uncharted territories of fusion technology. New higher performance design points are unlocked by high temperature superconducting magnets.
 
 
 To fully grasp this huge opportunity, we&rsquo;re building a team of extremely dedicated and passionate people who come together driving something extraordinary, radically transforming technology in the world.
 
 
 
 WHY JOIN PROXIMA FUSION
 
 
 
 <ul>
 <li>
 You will get to work on some of the most complex tech challenges to bring abundant, safe, clean energy to the world.
 </li>
 <li>
 You'll get to join and learn from an exceptional selection of accomplished and driven individuals.
 </li>
 <li>
 Do your life&rsquo;s best work and enjoy the journey.
 </li>
 <li>
 Get to show that big things are possible in Europe when you assemble the best talent.
 
 
 </li>
 </ul>
 
 YOUR IMPACT
 
 
 
 As a Junior AI Solutions Engineer, you will join our Enterprise AI team to accelerate Proxima Fusion&rsquo;s operational and technical workflows. You will be responsible for identifying, designing, and deploying AI-driven automations that eliminate bottlenecks across the organization. This is a role for a builder who thrives in an agile environment and is excited about applying the latest AI technology to solve real-world startup challenges at high speed.
 
 
 
 What You Will Do
 
 
 
 <ul>
 <li>
 Design and implement sophisticated automation architectures using tools like n8n, LangGraph and Python, integrating LLM capabilities into the core of Proxima&rsquo;s business and technical operations.
 </li>
 <li>
 Orchestrate our ecosystem by integrating AI workflows with existing data sources and tools, including Google Drive, Slack, project management software, and meeting infrastructure.
 </li>
 <li>
 Deploy and manage AI-driven microservices on Google Cloud Platform (GCP), utilizing Cloud Run, Vertex AI, and Vector Databases.
 </li>
 <li>
 Develop and optimize agentic workflows that leverage REST APIs, MCP (Model Context Protocol), and multi-modal Generative AI (Text, Image, and Video).
 </li>
 <li>
 Collaborate with the Enterprise AI Team to translate high-level system designs into functional prototypes, validating results directly with internal stakeholders.
 </li>
 <li>
 Integrate with our Software Development and Dev-Platform team to ensure all AI deployments follow Proxima&rsquo;s infrastructure and coding best practices
 
 
 </li>
 </ul>
 
 Who You Are
 
 
 
 <ul>
 <li>
 A High-Agency Builder: You prioritize shipping functional, high-impact prototypes and have a proven "builder" mindset when it comes to solving complex problems with simple solutions.
 </li>
 <li>
 Collaborative &amp; Mission-Driven: You choose mission over ego, working seamlessly across a diverse team of physicists, engineers, and ops. You are an excellent communicator who can bridge the gap between technical AI tools and the needs of non-technical colleagues.
 </li>
 <li>
 Technically Proficient: You have a solid foundation in Python and a deep understanding of LLM APIs, prompt engineering, and the current GenAI ecosystem.
 </li>
 <li>
 Infrastructure-Aware: Familiar with Linux, Docker, and cloud-native environments (ideally GCP). You understand how to interact with and design clean RESTful APIs.
 </li>
 <li>
 Continuous Learner: You are obsessed with the "state-of-the-art" and are likely the first person to experiment with new AI models or frameworks the day they are released.
 </li>
 <li>
 Proactive &amp; Pro-Feedback: You go above and beyond to see things through. You see feedback as a gift and iterate fast based on user validation.
 </li>
 <li>
 Startup-Ready: You thrive in high-paced environments characterized by high ambiguity and rapid iteration cycles.
 
 
 </li>
 </ul>
 
 INTERVIEW PROCESS
 
 
 
 <ul>
 <li>
 Recruiter Interview (30-60 min)
 </li>
 <li>
 Technical Screening (30 min)
 </li>
 <li>
 Technical Panel (3x60 min)
 </li>
 <li>
 CEO call (30 min)
 
 
 </li>
 </ul>
 
 At Proxima Fusion, our mission is bold: making limitless clean energy a reality. To get there, we need a high-performing, diverse team that brings different perspectives, challenges assumptions, and builds together with purpose. We know that diversity of thought and experience leads to better ideas, stronger execution, and a more resilient team. We don&rsquo;t look at how you identify, what you look like, who you choose to worship or what ethnicity you are. We care about what you can bring to the table.
 
 
 
</div>

AI Solutions Engineer

appliedAI

<div><h4 class="jobSectionHeader">About us</h4>
The appliedAI Initiative elevates Europe&rsquo;s industry to become shapers in the age of AI, creating a future that we desire to live in. Through our ecosystem of strong partners, comprehensive programs, services and solutions we advance companies holistically on their AI journey. With our uniquely diverse, interdisciplinary, and driven team, we build on deep technical expertise while specializing on applicability of the solutions. We share a mindset of collaboration and openness with our ecosystem of leading companies and tech players. Our common goal is to strengthen the European landscape, jointly creating unique knowledge for applying trustworthy AI. We believe that AI Agents will be the dominant topic for AI in the near future and that appliedAI with its partner ecosystem will impact how this technology is being used in industry and beyond in Europe. 
 
<h4 class="jobSectionHeader">Your mission</h4>
You&rsquo;ll support our AI engineering team hands-on across our AI projects - helping build and test AI agents and automated workflows, while also helping maintain our internal maturity assessment tool. 
Your tasks will include: 
<ul><li>
Supporting our engineers in developing and testing AI agent functionality for our AI projects in Python, using frameworks such as LangChain or Azure AI Foundry</li><li>
Supporting the design and automation of workflows using modern automation platforms</li><li>
Contributing to demos, workshops and internal documentation</li><li>
Supporting the technical maintenance of our internal maturity assessment tool (MAT)</li></ul><h4 class="jobSectionHeader">
Your profile</h4><ul><li>
Currently enrolled in a Master&rsquo;s programme in Computer Science, Artificial Intelligence, Software Engineering, or a related technical field</li><li>
Hands-on experience with Python and a genuine interest in AI/ML frameworks - exposure to LangChain, Azure AI Foundry, or similar tools is a plus</li><li>
Comfortable working with APIs: reading documentation, running tests, and troubleshooting integrations</li><li>
Structured and reliable in your working style - you take ownership of clearly scoped tasks, document your work, and communicate proactively when you hit a blocker</li><li>
Proficiency in German and English (written and spoken), allowing you to collaborate in a bilingual team environment</li></ul><h4 class="jobSectionHeader">
What we offer</h4><ul><li>
A highly qualified and motivated team of ~90 people is on a journey to change the rapidly evolving European AI Landscape</li><li>
Experience the best of both worlds with our hybrid work model: You can choose to work from our vibrant offices &mdash; either at the IPAI in Heilbronn or the House of Communication in Munich &mdash; while also enjoying the flexibility to work remotely a few days each week</li><li>
Opportunity to shape a variety of projects and the development of new, original content based on the latest developments in AI and its adoption in businesses</li><li>
An atmosphere that encourages to think and experiment in new ways with software, hardware, and processes</li><li>
A highly visible initiative that helps you build a large and high-level network of start-ups, partners, and tech companies</li><li>
Sports membership with Wellpass to access thousands of sports facilities all over Germany (and beyond), as well as online courses</li></ul><h4 class="jobSectionHeader">
Contact</h4>
Lucas Fernandes - Senior Talent Acquisition Specialist 
appliedAI Initiative GmbH, August-Everding-Str. 25, 81671 M&uuml;nchen<h4 class="jobSectionHeader">
About us</h4>
Find out more on https://www.appliedai.de/ and https://www.appliedai-institute.de/</div>

Working Student (m/f/x) AI Engineering & Product Development

Explore 60+ Automation engineer in Munich this July. Find roles across top companies and apply now to boost your career.

60 automation engineer jobs In Munich

DevOps Engineer (m/f/d)

Analytics Engineer (m/f/d)

Member of Technical Staff, Product (AI Agents)

Freelance Data Scraping Engineer (Python)

Member of Technical Staff, Product (AI Agents)

AI Solutions Engineer

Working Student (m/f/x) AI Engineering & Product Development