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Avelios Medical

<div>
 
 About Us
 
 
 
 Our mission at Avelios is to unlock clinical data to power seamless healthcare operations for better patient care. To do so, we have built a modular software platform that digitizes and optimizes workflows in hospitals with cutting-edge technology in a user-friendly way. With our software, we enable hospitals, doctors &amp; nurses to provide their patients with the best possible care.
 
 
 We are growing fast and want to keep expanding our team and business to fundamentally digitize healthcare for the better. We appreciate different backgrounds and see diversity as one of our strengths.
 
 
 
 THE TEAM AND ROLE
 
 
 
 We&rsquo;re looking for a
 
 (Senior) DevOps Engineer (all genders)
 
 to join our infrastructure team and take ownership of deploying and operating our software in both cloud and clinical environments. You&rsquo;ll collaborate closely with developers and product teams to ensure our systems are scalable, secure, and reliable. This role is key to transforming healthcare delivery with seamless and stable technology.
 
 
 
 Your Responsibilities
 
 
 
 <ul>
 <li>
 Collaborate closely with our core development team to roll out new features and services
 </li>
 <li>
 Design, test, deploy, and maintain the infrastructure that powers Avelios in hospitals and the cloud
 </li>
 <li>
 Operate and improve large-scale deployments with high availability and performance requirements
 </li>
 <li>
 Apply best practices in observability, incident response, and fault tolerance
 </li>
 <li>
 Ensure our systems are secure, reliable, and scalable in clinical environments
 </li>
 <li>
 Continuously propose and implement improvements to performance, automation, and tooling
 
 
 </li>
 </ul>
 
 Your Qualifications
 
 
 
 <ul>
 <li>
 Degree in Informatics, Computer Science, or a related field &mdash; or equivalent hands-on experience
 </li>
 <li>
 Solid experience with Docker, Kubernetes, CI/CD pipelines, and Linux environments
 </li>
 <li>
 Familiarity with monitoring, alerting, and logging best practices
 </li>
 <li>
 Experience with modern toolchains and infrastructure-as-code (e.g., Terraform, Ansible) is a plus
 </li>
 <li>
 Strong interest in learning new technologies and working in a fast-paced, high-impact setting
 </li>
 <li>
 Solution-oriented mindset and a pragmatic, hands-on working style
 </li>
 <li>
 Fluency in English; German is a plus but not required
 
 
 </li>
 </ul>
 
 Your Benefits
 
 
 
 <ul>
 <li>
 Variety in your tasks and the opportunity to take ownership
 </li>
 <li>
 An international, informal team structure in a motivating start-up atmosphere, allowing you to participate directly in our customer growth story and the overall success of Avelios
 </li>
 <li>
 Ability to gain valuable hands-on experience in a startup backed by leading international VCs
 </li>
 <li>
 Support for your personal development through continuous learning and feedback
 </li>
 <li>
 Set your own rhythm with flexible working hours and trust-based time tracking
 </li>
 <li>
 A virtual stock option package (VSOP) that lets you participate in Avelios&rsquo; long-term value creation
 </li>
 <li>
 A monthly meal allowance up to 75 euros, full coverage of the Deutschlandticket, Urban Sports Club or a subsidized Wellpass membership, a bike leasing program and Corporate Benefits that give you access to discounts from a wide range of providers in various areas
 
 
 </li>
 </ul>
</div>

DevOps Engineer (all genders)

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)

NavVis

<div>
 
 OUR VISION
 
 
 
 When people use our technology to "bridge the gap" between the physical and digital worlds, they don't just capture reality - they create a new one. In this new reality, they are smarter, more productive, more streamlined, and more creative - because they have the digital foundation to build the world they want to live in.
 
 
 That's what NavVis offers in all our products and services: the tools to not just map the world as it is, but to pave the way to a better future. To forge something new. Physical or digital, there is only one reality. And it's the reality NavVis empowers people to build better.
 
 
 
 THE OPPORTUNITY
 
 
 
 As a DevOps Engineer on our Cloud Infrastructure team, you'll help shape the future of our delivery platform in a modern AWS and Kubernetes environment. You'll take ownership of our CI/CD ecosystem, champion GitOps practices, and partner closely with engineering teams to streamline and modernize how software is delivered &mdash; including driving our migration from TeamCity to GitHub Actions. This is a hands-on, high-impact role where you'll reduce friction, enable self-service, and accelerate engineering velocity across the organization.
 
 
 
 How You Will Make An Impact
 
 
 
 <ul>
 <li>
 Design, build, and maintain scalable CI/CD pipelines using GitHub Actions across multiple development teams
 </li>
 <li>
 Support migration from TeamCity to GitHub Actions, providing best practices and hands-on implementation guidance
 </li>
 <li>
 Own and evolve GitOps workflows using Argo CD to improve deployment reliability and consistency
 </li>
 <li>
 Partner with engineering teams to optimize pipelines, reduce operational toil, and enable self-service delivery
 </li>
 <li>
 Work with Kubernetes workloads on EKS, deploying, troubleshooting, and maintaining services in a containerized environment
 
 
 </li>
 </ul>
 
 What Will Help You Succeed In The Role
 
 
 
 <ul>
 <li>
 Strong hands-on experience with GitHub Actions and TeamCity
 </li>
 <li>
 Experience with pipeline-as-code and version-controlled CI/CD configurations
 </li>
 <li>
 Solid understanding of GitOps principles and hands-on experience with Argo CD
 </li>
 <li>
 Working knowledge of AWS (IAM, EC2, S3, VPC, EKS) and Terraform
 </li>
 <li>
 Practical Kubernetes experience in a cloud-managed environment and scripting skills (Python, Go, or Bash)
 
 
 </li>
 </ul>
 
 NICE TO HAVE
 
 
 
 <ul>
 <li>
 Experience with observability and logging tools (Elastic Stack, Grafana, Prometheus, Datadog)
 </li>
 <li>
 Familiarity with distributed tracing concepts (e.g., OpenTelemetry)
 </li>
 <li>
 Experience working with Helm charts for Kubernetes deployments
 </li>
 <li>
 Exposure to internal developer portals (e.g., Backstage)
 </li>
 <li>
 Experience working in a Platform or DevOps team supporting multiple engineering teams
 
 
 </li>
 </ul>
 
 How We Will Know We Are a Perfect Match
 
 
 
 Your recruiting partner for this role is Sylvie (she/her). You can expect to go through a screening call, and up to 4 rounds of interviews, where we would love to discover your passion and interests, introduce you to who we are and what drives us, and finally understand how we can potentially add value to each other's growth.
 
 
 
 How We Will Keep You Smiling
 
 
 
 <ul>
 <li>
 It's important to take a break from work! We offer 30 days of paid time off per year
 </li>
 <li>
 Affordable access to a vast network of fitness and wellness facilities through EGYM Wellpass subsidy
 </li>
 <li>
 Deutschlandticket subsidy to support sustainable travel using public transport
 </li>
 <li>
 We offer flexible working hours and a hybrid work setup, enabling you to plan your work around your life, and not your life around work!
 </li>
 <li>
 We offer full visa and relocation support for international candidates
 </li>
 <li>
 An attractive bike leasing model through JobRad, in line with our commitment towards sustainable mobility
 </li>
 <li>
 A competitive compensation package that values the skills and experience you bring
 </li>
 <li>
 Up to 4000 EUR employee referral bonus
 </li>
 <li>
 Financial support for local language classes to help you in your journey of integrating into the culture!
 
 
 </li>
 </ul>
 
 About Us
 
 
 
 NavVis is a technologically-focused, global leader in reality capture and digital factory solutions. Prominent manufacturers and laser scanning professionals around the world trust our ground-breaking technology, designed to capture and share the built environment as photorealistic digital twins. By bridging the physical and digital worlds, we're helping organizations make smarter decisions and build more efficient, connected operations.
 
 
 With over 300 people from around 60 nationalities and offices around the globe, we're proud to be a truly international and diverse place to work. As a scaling company, we bring together the agility, innovation, and entrepreneurial mindset of a startup with the professionalism and reliability of an established enterprise &mdash; offering our team the best of both worlds.
 
 
 You'll be part of an open culture that values trust, collaboration, and transparency. We are proud of our environment where diverse talent can thrive and where feedback fosters individual growth and development. Do you share our passion for disruptive technology and want to be part of our dynamic journey? At NavVis, you'll own your projects, bring innovative ideas to life, and have real opportunities to grow your career and be recognized for your impact.
 
 
 
 We derive our strength from our diversity.
 
 
 
 NavVis' unwavering commitment to fostering an inclusive and diverse workplace has laid the foundation for our incredible growth. We thrive on the collective strength of our people who come from diverse backgrounds. We respect and value every experience associated with race, gender identity, sexual orientation, nationality, religion and disability. We do not discriminate on the basis of any of these, or other identities, and strongly encourage everyone to apply.
 
 
 
 Together with you, we build NavVis!
 
 
 
 If you need assistance at any stage of the recruiting process due to a disability, please reach out to your recruiting partner(s) for this position.
</div>

DevOps Engineer (f/m/d)

ProDIG GmbH

<div><div><div>With highly motivated people, we develop sophisticated software systems that efficiently create long-term added value for our customers &ndash; this is what ProDIG GmbH stands for. As a digital consulting and service company, ProDIG supports many customers from diverse industries such as banking &amp; FinTech, IT &amp; telecommunications, aerospace and automotive.

We focus on trust and always have an open ear for our employees and customers. Our values such as humanity, solution orientation and a practical hands-on mentality form the foundation for the development of our young and dynamic company.

Shape the digital future with us as! 


Salary: approx. &euro;65,000 &ndash; &euro;75,000 gross per annum

Your tasks:
<ul>
<li>Support the production deployment and operation of Kubernetes-based platforms across AWS and on-premises environments.</li>
<li>Design, implement, and continuously improve scalable, highly available cloud-native infrastructure.</li>
<li>Automate infrastructure provisioning, deployments, and operational workflows using GitOps, CI/CD, and Infrastructure as Code.</li>
<li>Develop and maintain monitoring, logging, and observability solutions to ensure platform reliability and performance.</li>
<li>Support the operation and optimization of MLOps platforms for production machine learning workloads.</li>
<li>Collaborate closely with software development and security teams to implement secure, resilient platform architectures.</li>
<li>Analyze, troubleshoot, and resolve complex infrastructure and platform issues while driving continuous improvements.</li>
<li>Contribute to the implementation of security, compliance, and operational best practices across the platform landscape.</li></ul> 


Your profile:
<ul><li>Y Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Information Technology, Engineering, or a comparable qualification.</li>
<li>Experience in Site Reliability Engineering, Platform Engineering, Infrastructure Engineering, DevOps, or MLOps within complex IT environments.</li>
<li>Strong expertise in operating production Kubernetes platforms across AWS and on-premises infrastructures.</li>
<li>Tech Stack: Kubernetes, AWS, Linux, GitOps, CI/CD, Terraform, Ansible, Helm, ArgoCD and/or Flux, Grafana, Prometheus, Infrastructure as Code; experience with MLOps platforms is advantageous.</li>
<li>Solid understanding of cloud-native architectures, distributed systems, networking, and platform automation.</li>
<li>Knowledge of the German BSI IT-Grundschutz framework is considered an advantage.</li>
<li>Professional proficiency in English and German (C1 or higher).</li>
<li>Employment is subject to the successful completion of a security screening in accordance with applicable national security regulations; eligibility depends on the relevant legal requirements, including nationality-related restrictions where applicable.</li></ul> 


Our Benefits:

It is important to us that you not only develop professionally as part of our team, but also feel good personally. That&rsquo;s why we offer individual benefits that are tailored to your needs &ndash; because with us, you count as a unique person.

Contact:

ProDIG offers you the opportunity of an exciting career in a highly innovative, digital-technological environment. We will be happy to assist and answer your questions at any time. We are looking forward to your application!

Important note:

Please be advised that a valid work permit for Germany is required for non-EU citizens. Unfortunately, applications without a valid work permit and sufficient German language skills may not be considered.</div></div></div>

DevOps Platform Engineer (m/f/d) Munich

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

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)

OMEGGA

<div><h2 class="jobSectionHeader">Our Mission</h2>
At Omegga, we're on a mission to reinvent how AI and spectroscopy can drive positive change for animals, people and the planet. We started with a clear objective: eliminate chick culling on a global scale through early, non-invasive in-ovo sex detection. This outdated practice still impacts billions of lives, and we're here to change that. We're not building for the niche, we're building for the global standard.
Today, our systems are already in use, and the focus is on scaling performance, robustness, and deployment across an international customer base. For us, scaling means more than growth. It means changing an industry for the better.
We are looking for people who take ownership, think in systems, and want to help turn a working product into the industry benchmark. If that sounds like you, we'd love to hear from you.<h2 class="jobSectionHeader"> 
What We Are Looking For</h2>
We are looking for a Deep Learning Engineer with strong research depth and hands-on implementation skills to push our model performance forward.
You will work on deep learning architectures and iterate rapidly: from hypothesis and experiments to evaluation, monitoring, and integration into our algorithm stack. Your work will directly improve detection quality and robustness in a real-world, noisy environment.<h2 class="jobSectionHeader"> 
Your Mission: What You'll Do</h2><ul><li>
Advance our deep learning models through research iteration: develop and test architectural improvements, training objectives, and optimization techniques. You will own the loop from idea experiment conclusion next iteration.</li><li>
Build rigorous evaluation and benchmarks: define evaluation sets, establish clear metrics (precision, recall, accuracy, calibration), and create repeatable benchmark runs so improvements are measurable and comparable over time.</li><li>
Own monitoring of model quality: set up monitoring for model performance and data shifts, define alerting signals, and build lightweight reporting that makes regressions visible early.</li><li>
Partner cross-functionally to turn findings into impact: work with data/engineering teams to improve datasets and labeling strategies, and with product/ops stakeholders to align on what &ldquo;good&rdquo; looks like in practice.</li></ul><h2 class="jobSectionHeader"> 
Your Profile: Qualifications &amp; Requirements</h2><ul><li>
MSc in Computer Science or a related field with 4+ years of applied deep learning experience, or a PhD &mdash; paired with a proven track record of taking research from idea to working system.</li><li>
Strong understanding of optimizing modern neural architectures, with demonstrated depth in transformer architectures and practical experience adapting them to specific domains (e.g., attention variants, efficiency improvements, robustness, training stability).</li><li>
Ability to architect problem-specific models &mdash; adapt modern architectures, losses, and training objectives to the structure of the task, treating published work as a starting point rather than reaching for an off-the-shelf model</li><li>
Strong Python deep learning stack experience (e.g. PyTorch, Tensorflow), including training pipelines, experimentation discipline, and reproducibility.</li><li>
Real depth in the mathematical core of modern ML: probability, optimization, information theory, statistical inference. You can derive a loss function rather than just import one.</li><li>
Solid experience with experiment tracking and model evaluation tooling (e.g. Weights &amp; Biases or similar), and a strong bias for measurement-driven progress.</li><li>
Fluency in English, German is a plus</li></ul><h2 class="jobSectionHeader"> 
Nice to have</h2><ul><li>
Experience with domain adaptation and evaluation in imbalanced settings (rare events, high cost of misses/false alarms).</li><li>
Familiarity with deployment-adjacent concerns: model packaging, performance constraints, and continuous evaluation in changing real-world conditions.</li><li>
Experience working with sensor/time-series or industrial data, where edge cases and dataset shifts are the norm.</li><li>
Experience with agentic AI development workflows to speed up experimentation (analysis, ablations, test scaffolding) while maintaining careful review and scientific rigor.</li><li>
Proven ability to deliver in fast-paced, high-ambiguity environments.</li></ul><h2 class="jobSectionHeader"> 
Why Us</h2>
Mission &amp; Technical Challenge: At Omegga, you work on problems that are both technically demanding and globally relevant. We build deep-tech solutions with real-world impact, pushing the boundaries of what&rsquo;s currently possible.
Relocation Support: To make your move to Munich smooth, we offer a fully furnished apartment within walking distance of the office for up to 6 months.
Work Environment: Located in Munich&rsquo;s Werksviertel, we combine a focused, high-performance culture with flexibility. Up to 50% remote work, depending on role and execution needs.
Compensation: A competitive, market-aligned salary that reflects your contribution, with clear linkage to impact.
Time Off: 28 vacation days per year, plus December 24th and 31st off.</div>

Senior Deep Learning Engineer (m/f/d)

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