applications engineer

Lampenwelt GmbH

<div></div><div><div><h2 class="jobSectionHeader"><b>Company description</b></h2>
<div><p>Lampenwelt has been shaping the future of lighting since 1999 with over 50,000 products, eight in-house brands, and an international team of around 500 talents. The focus is on people&rsquo;s well-being, strong customer orientation, open communication, and innovative solutions along the entire value chain, with the goal of making the world brighter and smarter.</p>
<p><b>Job description</b></p>
<p>We are building AI-powered products that directly shape how customers discover and experience lighting. As our AI Engineer, you will design, build, and take ownership of applied AI systems that create measurable business impact.</p><br>
<p><br>
This is a product-oriented engineering role, not a research position. Majority of your time will be spent on applied AI and generative systems; the remaining will support existing predictive ML models (demand forecasting, pricing, logistics). You will work closely with product managers, data engineers, and business stakeholders.
</p></div></div><div><h2 class="jobSectionHeader"><b>Where your expertise is needed</b></h2>
<div><p>Applied AI &amp; Generative Systems (Primary)</p>
<ul><li>Design and build production-ready AI systems: RAG pipelines, multi-agent orchestration, LLM-based workflow automation, and generative media applications</li>
<li>Develop evaluation frameworks that measure AI output quality, reliability and consistency</li>
<li>Design guardrails that enforce safe, predictable AI behavior in production</li>
<li>Build and maintain clean, well-documented API and service layers that integrate AI capabilities into our products</li>
<li>Collaborate with product managers to translate business problems into concrete AI solution designs</li>
<li>Stay current with the AI technology landscape and propose pragmatic improvements to our architecture</li><br>
</ul><p></p><p>Predictive ML Support (Secondary)</p>
<ul><li>Monitor and support existing predictive ML pipelines (regression, classification, demand forecasting, logistics)</li>
<li>Assist in detecting and triaging model drift; contribute to basic retraining or validation workflows</li>
<li>Collaborate with data engineers on feature preparation for scheduled model runs</li>
</ul></div></div><div><h2 class="jobSectionHeader"><b>What will help you master future challenges</b></h2>
<div><ul><li>Applied AI engineering: Demonstrated ability to build and ship RAG systems, LLM integrations, or multi-agent workflows in production</li>
<li>Python and SQL proficiency: Comfortable writing clean, maintainable Python for production services and SQL for data retrieval and validation</li>
<li>AI evaluation: Experience designing evaluation frameworks for generative AI outputs, including metrics, test sets, and monitoring approaches</li>
<li>Production deployment: Practical experience deploying APIs or AI services to a cloud environment (any major cloud provider); understands latency, error handling, and observability basics</li>
<li>Stakeholder communication: Able to clearly communicate technical trade-offs and solution designs to non-technical collaborators; English at C1 level or above</li>
<li>ML literacy: Working understanding of supervised learning concepts (regression, classification, cross-validation) sufficient to support and interpret existing predictive models</li>
</ul></div></div><div><h2 class="jobSectionHeader"><b>Your Benefits</b></h2>
<div><ul><li>A stable and engaging position in a profitable scale-up company</li>
<li>Flexible working options, from home and in one of our stylish offices in Fulda, D&uuml;sseldorf, or Berlin</li>
<li>A wide range of benefits, including free fruit and drinks, team and after-work events, and digital networking opportunities</li>
<li>A sports allowance to support your hobbies, because we care about the well-being of our team</li>
<li>Attractive employee discounts across our entire product range</li>
<li>Numerous learning and development opportunities, both within and beyond our organization</li>
</ul></div></div><div><h2 class="jobSectionHeader"><b>Contact</b></h2>
<div><p>Melissa Barnes</p>
<p>jobs@lampenwelt.de</p>
<p>+49 661-296 962-1216</p><br>
<p></p><p>#LI-Berlin #LI-D&uuml;sseldorf #LI-Fulda #LI-Hybrid</p></div></div></div>

AI Engineer (f/m/d) — Applied AI & Machine Learning

Raisin

<div>
 Raisin is the world&rsquo;s leading platform for savings and investment products. Founded in 2012, the
 <strong>
  FinTech
 </strong>
 connects consumers with banks in the EU, the UK and the US. This gives consumers
 <strong>
  better interest rates
 </strong>
 and banks a
 <strong>
  diversified form of refinancing
 </strong>
 . Our vision is to offer savings and investments without barriers and thus open up the global 160 trillion euro market.
 <br/>
 <br/>
 Raisin currently employs more than 800 people from over 75 countries worldwide. Today, the platform holds over 80 billion euros in assets from
 <strong>
  more than one million investors
 </strong>
 which have accrued over 5 billion euros in returns.
 <br/>
 <br/>
 <strong>
  Team
  <br/>
  <br/>
 </strong>
 The AI Enablement team supports the adoption of AI capabilities across Raisin&rsquo;s products and internal systems.
 <br/>
 <br/>
 The team focuses on establishing a consistent and reliable approach to using AI in production by providing shared foundations, guidance, and reusable solutions. This includes working with engineering teams to integrate AI into existing systems, ensuring solutions are scalable, maintainable, and aligned with security and regulatory requirements.
 <br/>
 <br/>
 The scope ranges from improving internal workflows to enabling new product capabilities, depending on where AI can deliver measurable value.
 <br/>
 <br/>
 <strong>
  Your Responsibilities
  <br/>
  <br/>
 </strong>
 As an AI Engineer, you will help shape how AI is applied across the organization by combining hands-on engineering with enablement and guidance.
 <br/>
 <br/>
 <strong>
  Enable teams to adopt AI effectively
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Work with product and engineering teams to identify and refine AI use cases
  </li>
  <li>
   Support teams in integrating AI capabilities into their systems and workflows by providing clear guidance on patterns, trade-offs, and practical implementation approaches
  </li>
  <li>
   Promote consistent and reusable solutions to reduce fragmentation across teams
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Contribute To Shared Capabilities Where Needed
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Develop or extend shared components, integrations, or services when required to unblock teams
  </li>
  <li>
   Define and implement patterns for integrating LLM capabilities into the platform
  </li>
  <li>
   Contribute to shared components or lightweight services that simplify access to AI capabilities across teams
  </li>
  <li>
   Manage AI costs and budget usage when providing shared model access and services to other teams.
  </li>
  <li>
   Support teams in developing retrieval-based approaches that make internal knowledge accessible to AI-driven use cases
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Guide technical decisions
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Evaluate tools, platforms, and approaches with consideration for scalability, security, and maintainability
  </li>
  <li>
   Help teams choose appropriate solutions based on context rather than applying AI by default
  </li>
  <li>
   Contribute to establishing a pragmatic and consistent approach to AI usage
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Ensure robustness and responsible usage
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Optimize AI system efficiency by making principled model selections based on cost-performance trade-offs, inference latency, and token usage optimization
  </li>
  <li>
   Support the implementation of safeguards such as access controls, validation, and monitoring
  </li>
  <li>
   Collaborate with Security, Legal, and other stakeholders on requirements related to AI usage
  </li>
  <li>
   Contribute to practices that ensure solutions are reliable and aligned with internal standards
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Your Profile
  <br/>
  <br/>
 </strong>
 <strong>
  Background
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Strong experience as a Software Engineer (5+ years), with focus on backend or platform development
  </li>
  <li>
   Strong generalist mindset, comfortable working across technical domains
  </li>
  <li>
   Experience working on production systems and collaborating across teams
  </li>
  <li>
   Comfortable operating in environments with evolving scope and priorities
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Technical Skills
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Proficiency in at least one programming language (Python preferred; JVM languages also relevant)
  </li>
  <li>
   Experience with cloud environments (AWS preferred)
  </li>
  <li>
   Solid understanding of APIs, system integration, and distributed systems
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  AI Experience
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Practical experience working with AI tools or platforms (e.g. LLM APIs or similar technologies)
  </li>
  <li>
   Familiarity with concepts such as prompt design, context engineering, retrieval-based approaches, or AI-driven workflows
  </li>
  <li>
   Ability to assess where AI adds value and where it does not
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Join our mission, join our team &ndash; and grow with us!
  <br/>
  <br/>
 </strong>
 At Raisin, we care about each other and it is one of our top priorities to foster an open and caring environment in which everyone feels welcome and comfortable. Our culture is strongly driven by our ambitious team, which connects more than 75 different nationalities.
 <br/>
 <br/>
 As part of our team, you will benefit from:
 <br/>
 <br/>
 <ul>
  <li>
   Employee Development Budget of &euro;2,000 and four full training days per year.
  </li>
  <li>
   Flexible working hours, home office and 30 vacation days.
  </li>
  <li>
   A company pension scheme (Betriebliche Altersvorsorge), which we support with 20%.
  </li>
  <li>
   Enjoy more than 50+ different sports with Urban Sports Club: We subsidize your membership with more than &euro;20 per month.
  </li>
  <li>
   Do you miss being in the office? The Deutschland Ticket gets you there, which we subsidize with &euro;25 per month.
  </li>
  <li>
   Love cycling? With JobRad, lease the bike of your choice and enjoy tax savings, plus Raisin covers your monthly insurance costs.
  </li>
  <li>
   Hungry all the time? Snacks, daily fresh fruit as well as drinks provided at the office.
  </li>
  <li>
   You are moving from another country or city to join us? We may support your relocation.
   <br/>
   <br/>
  </li>
 </ul>
 <em>
  Raisin Applicant Privacy Policy
  <br/>
  <br/>
 </em>
 We value diversity and the unique experiences each individual brings. If you&rsquo;re excited about this role but don&rsquo;t meet every requirement, we still encourage you to apply.
 <br/>
 <br/>
 We are an equal opportunity employer and are committed to creating an inclusive environment for everyone, regardless of race, colour, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, or gender identity.
</div>


AI Engineer (m/f/d)

<div><div><p>Raisin is the world's leading platform for savings and investment products. Founded in 2012, the <b>FinTech</b> connects consumers with banks in the EU, the UK and the US. This gives consumers <b>better interest rates</b> and banks a <b>diversified form of refinancing</b>. Our vision is to offer savings and investments without barriers and thus open up the global 160 trillion euro market.</p>
<p>
Raisin currently employs more than 800 people from over 75 countries worldwide. Today, the platform holds over 80 billion euros in assets from <b>more than one million investors</b> which have accrued over 5 billion euros in returns.</p></div><h2 class="jobSectionHeader"><b>
Team</b></h2>
<p>
The AI Enablement team supports the adoption of AI capabilities across Raisin's products and internal systems.</p>
<p>
The team focuses on establishing a consistent and reliable approach to using AI in production by providing shared foundations, guidance, and reusable solutions. This includes working with engineering teams to integrate AI into existing systems, ensuring solutions are scalable, maintainable, and aligned with security and regulatory requirements.</p>
<p>
The scope ranges from improving internal workflows to enabling new product capabilities, depending on where AI can deliver measurable value.</p><h2 class="jobSectionHeader"><br>
<b>
Your Responsibilities</b></h2>
<p>
As an AI Engineer, you will help shape how AI is applied across the organization by combining hands-on engineering with enablement and guidance.</p>
<h4 class="jobSectionHeader"><b>
Enable teams to adopt AI effectively</b></h4>
Work with product and engineering teams to identify and refine AI use cases<br>
<ul><li>
</li>
Support teams in integrating AI capabilities into their systems and workflows by providing clear guidance on patterns, trade-offs, and practical implementation approaches<br>
<li>
</li>
<li>Promote consistent and reusable solutions to reduce fragmentation across teams</li>
</ul><h4 class="jobSectionHeader"><b>Contribute to shared capabilities where needed</b></h4>
Develop or extend shared components, integrations, or services when required to unblock teams<br>
<ul><li>
</li>
Define and implement patterns for integrating LLM capabilities into the platform<br>
<li>
</li>
Contribute to shared components or lightweight services that simplify access to AI capabilities across teams<br>
<li>
</li>
Manage AI costs and budget usage when providing shared model access and services to other teams.<br>
<li>
</li>
<li>Support teams in developing retrieval-based approaches that make internal knowledge accessible to AI-driven use cases</li>
</ul><h4 class="jobSectionHeader"><b>Guide technical decisions</b></h4>
Evaluate tools, platforms, and approaches with consideration for scalability, security, and maintainability<br>
<ul><li>
</li>
Help teams choose appropriate solutions based on context rather than applying AI by default<br>
<li>
</li>
<li>Contribute to establishing a pragmatic and consistent approach to AI usage</li>
</ul><h4 class="jobSectionHeader"><b>Ensure robustness and responsible usage</b></h4>
Optimize AI system efficiency by making principled model selections based on cost-performance trade-offs, inference latency, and token usage optimization<br>
<ul><li>
</li>
Support the implementation of safeguards such as access controls, validation, and monitoring<br>
<li>
</li>
Collaborate with Security, Legal, and other stakeholders on requirements related to AI usage<br>
<li>
</li>
<li>Contribute to practices that ensure solutions are reliable and aligned with internal standards</li></ul><br>
<p></p>
<h2 class="jobSectionHeader"><b>
Your Profile</b></h2>
<h4 class="jobSectionHeader"><b>Background</b></h4>
Strong experience as a Software Engineer (5+ years), with focus on backend or platform development<br>
<ul><li>
</li>
Strong generalist mindset, comfortable working across technical domains<br>
<li>
</li>
Experience working on production systems and collaborating across teams<br>
<li>
</li>
<li>Comfortable operating in environments with evolving scope and priorities</li>
</ul><h4 class="jobSectionHeader"><b>Technical Skills</b></h4>
Proficiency in at least one programming language (Python preferred; JVM languages also relevant)<br>
<ul><li>
</li>
Experience with cloud environments (AWS preferred)<br>
<li>
</li>
<li>Solid understanding of APIs, system integration, and distributed systems</li>
</ul><h4 class="jobSectionHeader"><b>AI Experience</b></h4>
Practical experience working with AI tools or platforms (e.g. LLM APIs or similar technologies)<br>
<ul><li>
</li>
Familiarity with concepts such as prompt design, context engineering, retrieval-based approaches, or AI-driven workflows<br>
<li>
</li>
<li>Ability to assess where AI adds value and where it does not</li></ul><br>
<p></p>
<p><b>
Join our mission, join our team &ndash; and grow with us!</b></p>
<p>
At Raisin, we care about each other and it is one of our top priorities to foster an open and caring environment in which everyone feels welcome and comfortable. Our culture is strongly driven by our ambitious team, which connects more than 75 different nationalities.</p>
<p>
As part of our team, you will benefit from:</p>
<ul>
<li>Employee Development Budget of &euro;2,000 and four full training days per year.</li>
<li>Flexible working hours, home office and 30 vacation days.</li>
<li>A company pension scheme (Betriebliche Altersvorsorge), which we support with 20%.</li>
<li>Enjoy more than 50+ different sports with Urban Sports Club: We subsidize your membership with more than &euro;20 per month.</li>
<li>Do you miss being in the office? The Deutschland Ticket gets you there, which we subsidize with &euro;25 per month.</li>
<li>Love cycling? With JobRad, lease the bike of your choice and enjoy tax savings, plus Raisin covers your monthly insurance costs.</li>
<li>Hungry all the time? Snacks, daily fresh fruit as well as drinks provided at the office.</li>
<li>You are moving from another country or city to join us? We may support your relocation.</li>
</ul><div><p><i>
Raisin Applicant Privacy Policy</i></p>
<p>
We value diversity and the unique experiences each individual brings. If you're excited about this role but don't meet every requirement, we still encourage you to apply.</p>
<p>
We are an equal opportunity employer and are committed to creating an inclusive environment for everyone, regardless of race, colour, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, or gender identity.</p></div></div>

Enpal

<div>
 At Enpal, we are not just a company; we are a movement. As a leading European greentech unicorn, we are on a mission to make clean energy simple, accessible, and scalable for homeowners across the continent.
 <br/>
 <br/>
 Through solar panels, heat pumps, home batteries, and EV charging, we are redefining residential energy. With Enpal Energy, we are building Europe&rsquo;s leading platform to manage and orchestrate millions of distributed energy assets &mdash; laying the foundation for the largest Virtual Power Plant (VPP) in Europe.
 <br/>
 <br/>
 Our vision: power Europe&rsquo;s transition to a fully decentralized, intelligent, and clean energy system.
 <br/>
 <br/>
 <strong>
  Job Description
  <br/>
  <br/>
 </strong>
 As a
 <strong>
  Senior AI Platform Engineer
 </strong>
 , you will design and build the internal AI Engine that powers all AI capabilities across Enpal Energy. This is not about wrapping APIs &mdash; it is about building the core infrastructure that makes AI reliable, scalable, and production-grade.
 <br/>
 <br/>
 We are looking for a systems thinker with strong engineering fundamentals and a deep understanding of modern AI systems. You care about reliability, observability, and building platforms that enable other engineers to move fast with confidence.
 <br/>
 <br/>
 What you will do
 <br/>
 <br/>
 <ul>
  <li>
   Own the design and development of the internal AI platform powering all AI features.
  </li>
  <li>
   Build a robust Agent Runtime to orchestrate complex AI workflows in production.
  </li>
  <li>
   Design scalable backend services and developer-facing APIs for AI systems.
  </li>
  <li>
   Build internal tooling for evaluation, observability, tracing, and debugging (latency, cost, quality, reliability).
  </li>
  <li>
   Define standards for AI quality, including evaluation frameworks, versioning, and reproducibility.
  </li>
  <li>
   Collaborate closely with product and engineering teams to enable fast, safe, and deterministic AI feature delivery.
  </li>
  <li>
   Own CI/CD pipelines, infrastructure as code, and production readiness of AI systems.
  </li>
  <li>
   Continuously improve performance, reliability, and cost efficiency.
  </li>
  <li>
   Contribute to architectural decisions shaping the long-term AI strategy.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Qualifications
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   5&ndash;7+ years of software engineering experience (mid to senior level).
  </li>
  <li>
   Strong background in backend systems, platform engineering, or internal developer platforms.
  </li>
  <li>
   Strong proficiency in TypeScript and Node.js (JavaScript ecosystem).
  </li>
  <li>
   Solid understanding of modern AI system design, including agentic architectures vs. chains, tool use and function calling, and orchestration patterns.
  </li>
  <li>
   Experience in LLM APIs (e.g. OpenAI, Anthropic, DeepSeek) and AI infrastructure.
  </li>
  <li>
   Experience building observability, logging, tracing, and evaluation systems.
  </li>
  <li>
   Strong focus on reliability, determinism, and production-grade engineering.
  </li>
  <li>
   Experience building APIs and integrating complex systems.
  </li>
  <li>
   Familiarity with CI/CD tools (GitHub Actions, Azure DevOps, or similar).
  </li>
  <li>
   Strong commitment to clean, testable, and scalable code.
  </li>
  <li>
   (Senior level) Experience mentoring engineers and driving technical decisions.
   <br/>
   <br/>
  </li>
 </ul>
 Additional Information
 <br/>
 <br/>
 <ul>
  <li>
   Join Germany&rsquo;s leading green unicorn and help shape the energy transition.
  </li>
  <li>
   Work in a diverse team of 65+ nationalities united by one mission.
  </li>
  <li>
   Hybrid work model: office or remote &mdash; your choice.
  </li>
  <li>
   Our Berlin HQ offers a fully equipped startup environment (rooftop, gym, lounges, events).
  </li>
  <li>
   Structured onboarding, including a welcome session with our founder.
  </li>
  <li>
   Regular company updates, technical deep dives, and knowledge sharing sessions.
  </li>
  <li>
   Strong team culture, ownership mindset, and frequent team events.
  </li>
  <li>
   A strong feedback culture that values continuous improvement.
   <br/>
   <br/>
  </li>
 </ul>
 At Enpal, diversity and inclusion are core values. Hiring decisions are made without discrimination of any kind.
</div>


AI Platform Engineer (f/m/d)

ALMETRA

<div><p>At Deltia, we&rsquo;re on a mission to reinvent how factories work.</p><p>
We help manufacturers - one of the most essential and overlooked sectors of our economy - run better. Every car, wind turbine, medical device, and washing machine comes from a factory. But factories today are running out of people. They struggle with efficiency, safety, and quality - and they desperately need better tools to understand what&rsquo;s happening on the shop floor.</p><p>
That&rsquo;s where we come in. Deltia builds AI-powered computer vision systems that give manufacturers deep visibility into how their production lines actually run - and the insights to improve them. We don&rsquo;t sell ads or marketing software. We help real factories solve real problems.</p><p>
As a Solution Engineer, you&rsquo;ll bridge two worlds: deep operational expertise and cutting-edge AI. You&rsquo;ll work directly with our SDRs, AEs, and our Improvement team to land new customers, expand existing ones, and ensure every deployment delivers measurable impact.</p><p>
If you&rsquo;ve worked in Continuous Improvement, Lean, or operational excellence, and you want to apply that expertise in a fast-moving tech company then this role is for you.</p><p></p><p><b>
Why join us</b></p><ul><li><p><b>
Impact that matters. </b>You&rsquo;ll help manufacturers solve real operational problems, not just implement software.</p></li><li><p><b>
Shape the future of industrial AI. </b>Your domain knowledge will directly influence product evolution and customer outcomes.</p></li><li><p><b>
Cross-functional seat at the table. </b>You&rsquo;ll partner with Sales, Product, and Engineering to make deals successful and scalable.</p></li><li><p><b>
Career acceleration.</b> You&rsquo;ll become an expert at translating factory processes into AI-powered improvements across global customers.</p></li></ul><h2 class="jobSectionHeader"><b>
What you&rsquo;ll do</b></h2><ul><li><p>
Partner with Sales to win deals by bringing credibility in operations, CI, and Lean.</p></li><li><p>
Lead discovery sessions to understand current processes, bottlenecks, and improvement opportunities.</p></li><li><p>
Translate real-world factory workflows into clear use cases and value stories for prospects.</p></li><li><p>
Support pilots and deployments with the Improvement team to demonstrate measurable ROI.</p></li><li><p>
Build playbooks for value quantification, before-after analysis, and operational storytelling.</p></li><li><p>
Work with multiple stakeholders (ops, quality, engineering, production, CI, plant managers).</p></li><li><p>
Help expand existing customers by identifying new use cases and improvement pathways.</p></li><li><p>
Feed insights from the field back into Product to shape our roadmap.</p></li></ul><h2 class="jobSectionHeader"><b>
What we&rsquo;re looking for</b></h2><ul><li><p>
3+ years in Continuous Improvement, Lean, Operational Excellence, digital transformation, or industrial engineering.</p></li><li><p>
Experience in manufacturing operations, either at a plant or as a consultant.</p></li><li><p>
Strong ability to analyze processes, identify bottlenecks, and quantify value.</p></li><li><p>
Comfortable with shop-floor environments and talking to operators, engineers, and plant leaders.</p></li><li><p>
Clear communicator who can explain complex processes simply and confidently.</p></li><li><p>
Ability to run discovery, map workflows, and build compelling business cases.</p></li><li><p>
Collaborative mindset and willingness to work closely with Sales, Product, and Engineering.</p></li><li><p>
Curious about AI, automation, and the future of manufacturing.</p></li></ul><h2 class="jobSectionHeader"><b>
Bonus points</b></h2><ul><li><p>
Experience with time studies, MTM, value stream mapping, or OEE programs.</p></li><li><p>
Background supporting large-scale CI programs or Kaizen events.</p></li><li><p>
Familiarity with enterprise software deployments in industrial environments.</p></li><li><p>
Interest in turning CI knowledge into scalable, repeatable playbooks.</p></li><li><p>
Native German speaker</p></li></ul><p><b>
What we offer</b></p><p>
Employee Share Options Program for all permanent employees*</p><p>
An increasing benefits list: currently includes Urban Sports club and quarterly team retreats.</p><p>
Be on the forefront in defining what artificial intelligence means in manufacturing</p><p>
Gain hands-on experience in working in an AI-first software company
</p><p>Supportive and inclusive culture that values diversity and promotes the advancement of underrepresented groups within the company</p><p>
Collaborate with a diverse (currently more than 10 nationalities) and talented team, working on cutting-edge projects with real-world impact</p><p>
Network with professionals and leaders in the field, opening doors to potential future career opportunities</p><p>
We have a very flat hierarchy, open 360&deg; feedback, and flexible working hours</p><p>
Ethics: We are committed to developing ethical AI software<br>
<br>
<b>Don't meet all the requirements?</b></p><p><i>
Almetra is committed to creating a workplace that is diverse, fair, and inclusive. We encourage candidates from all backgrounds, even if they do not meet every qualification, to submit their application. We firmly believe that having a team with diverse perspectives only strengthens our company and drives innovation. Our commitment also extends to providing an accessible environment for everyone, including those with disabilities. Please let us know if you require any accommodations during the application process or while working with us, and we will do our best to support you.</i></p><ul><li><br>
<i>Only full-time, permanent roles are eligible for stock options. Part-time roles, contract roles, work-student, internships and freelance roles are not eligible for stock options.</i></li></ul></div>

Manufacturing Solution Engineer (AI Startup)

develop

<div>
 <p>
  <strong>
   Software Engineer | Java, AWS | Berlin | &euro;70k - &euro;85k | German B2+
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  We're looking for a talented Software Engineer with a strong background in Java and AWS to join a fast growing team in Berlin.
 </p>
 <p>
  <br/>
 </p>
 <p>
  In this role, you'll develop and maintain scalable backend applications, contribute to the design of new features, and work closely with product managers, QA, and fellow engineers to deliver high-quality software. We're looking for someone who enjoys solving technical challenges, writing clean, maintainable code, and collaborating in an agile environment.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Responsibilities:
  </strong>
 </p>
 <ul>
  <li>
   Design, develop, and maintain high-quality Java applications and backend services
  </li>
  <li>
   Build and enhance RESTful APIs and integrate with internal and external systems
  </li>
  <li>
   Collaborate with cross-functional teams to deliver new features from concept through to production
  </li>
  <li>
   Write clean, maintainable, and well-tested code following engineering best practices
  </li>
  <li>
   Participate in code reviews and contribute to technical discussions and architectural decisions
  </li>
  <li>
   Troubleshoot, debug, and optimise applications to ensure performance and reliability
  </li>
  <li>
   Support continuous improvement of development processes and engineering standards
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Requirements:
  </strong>
 </p>
 <ul>
  <li>
   Strong commercial experience developing applications with Java
  </li>
  <li>
   Experience building RESTful APIs and backend services
  </li>
  <li>
   Strong cloud experience with AWS
  </li>
  <li>
   Familiarity with relational databases and modern software development practices
  </li>
  <li>
   Experience working in Agile/Scrum teams
  </li>
  <li>
   German language skills at B2 level or above (required)
  </li>
  <li>
   Strong communication skills and a collaborative mindset
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  If you're interested please get in touch ASAP!
 </p>
 <p>
  <br/>
 </p>
</div>


Senior Software Engineer

CE labs

<div><p>At CE Labs, which we just spun off from Cryspen, we're all about creating the core security and privacy tools for the apps of tomorrow. We do everything from advanced, end-to-end encrypted protocols such as MLS to handling all the cryptography underneath. Plus, we assist others in bundling these into SDKs and applications.</p>
<p>
We are looking for a systems-minded engineer fluent in Rust to join our small team. Your main focus will be translating RFCs, complex cryptographic primitives, and academic papers into production-ready, safe, and highly optimized software. You will also actively help us design and create entirely new protocols and standards.</p>
<h2 class="jobSectionHeader"><b>
Tasks</b></h2>
<ul><li>Develop and implement cryptographic protocols to enhance system security.</li>
<li>Collaborate with internal and external engineering teams to integrate security protocols into software applications.</li>
<li>Conduct security audits and vulnerability assessments to identify and mitigate risks.</li>
<li>Stay updated on the latest advancements in security and cryptography and apply them to our projects.</li>
<li>Work closely with clients to understand their security needs and provide tailored solutions.</li>
</ul><h2 class="jobSectionHeader"><b>Requirements</b></h2>
<ul><li>Strong foundation in applied cryptography and understanding of cryptographic protocols.</li>
<li>Experience with software development in Rust, specifically in security-focused applications.</li>
<li>Excellent problem-solving skills and the ability to work collaboratively in a small team setting.</li>
<li>A plus: A degree in Computer Science, Engineering, or a related field, or equivalent experience.</li>
<li>A plus: Interest in formal methods and their application in ensuring system correctness.</li>
</ul><h2 class="jobSectionHeader"><b>Benefits</b></h2>
<ul><li>Flexible working hours</li>
<li>Public transportation benefits</li>
<li>Remote work</li>
<li>Room to grow personally and professionally</li>
<li>Family-friendly work environment</li>
<li>4 day work week</li>
</ul>
<p>Join CE Labs as a Security / Cryptography Engineer and dive into cutting-edge cryptography. Be part of a small, dynamic team where your work in secure systems truly matters.</p></div>

Security / Cryptography Engineer

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