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ai engineer — genai & agentic solutions (m/w/d) amazon web services Jobs in Berlin

applied scientist, amazon robotics Jobs in Berlin

applied scientist, amazon robotics

data scientist

devops engineer — cloud & ai operations (m/w/d) amazon web services Jobs in Berlin

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field installation engineer (ai startup)

applied scientist amazon robotics

Amazon

<div>
 
 Description
 
 
 
 Are you interested in how to build AI reasoning systems that give provably correct answers? Are you excited by science at the interface of classical AI reasoning and Large Language Models (LLMs)? Would you like to apply your technology to serve operations customers better?
 
 
 Amazon Robotics is looking for a talented Applied Scientist. You will innovate on combining language models (LMs) with classical AI reasoning. You will work with a team of scientists and engineers to achieve this. You will publish your results in papers at leading venues in AI. You will be part of a larger team and have the opportunity to work on problems such as: using LMs to generate plans, using AI reasoning to verify plan correctness, learning efficient reasoning strategies, self-improving models. You will work on basic science and on business problems in robotics, automation and fulfillment across our operations.
 
 
 Key job responsibilities
 
 
 
 In This Role You Will
 
 
 
 <ul>
 <li>
 Work closely with other scientists and engineers, and be part of Amazon&rsquo;s diverse global science community.
 </li>
 <li>
 Publish your research in top-tier academic venues and hone your presentation skills.
 </li>
 <li>
 Be inspired by challenges and opportunities to invent new techniques in your area(s) of expertise.
 
 
 </li>
 </ul>
 A day in the life
 
 
 You'll meet regularly with your technical lead and your team on your ideas, get guidance and feedback, work together on architectures and algorithms, author papers, build AI systems, all with the aim of delivering results for your operations customers. You'll work closely with other scientists to review your plans and results. You'll meet with engineers to implement your ideas at scale.
 
 
 
 About The Team
 
 
 
 The Veritas team is a science team working at the boundary between language models and classical AI reasoning. We work across on customer problems in fulfillment, automation and robotics. We focus on high quality research science informed by practical problems.
 
 
 
 Basic Qualifications
 
 
 
 <ul>
 <li>
 Experience in building models for business application
 </li>
 <li>
 Experience in patents or publications at top-tier peer-reviewed conferences or journals
 </li>
 <li>
 Experience programming in Java, C++, Python or related language
 </li>
 <li>
 Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing
 </li>
 <li>
 Experience implementing algorithms using toolkits and self-developed code
 </li>
 <li>
 Publication record in top tier venues in generative AI reasoning or classical planning
 </li>
 <li>
 PhD in a relevant field (reinforcement learning, neurosymbolic AI, LLMs for formal reasoning)
 </li>
 <li>
 Experience in reinforcement learning or neuro-symbolic AI
 </li>
 <li>
 Practical experience with PyTorch, the HuggingFace ecosystem, SageMaker, and RL tools
 
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 Experience using Unix/Linux
 </li>
 <li>
 Experience in professional software development
 </li>
 <li>
 Experience using AWS tools and services - including AWS batch, Boto, S3, EC2 etc
 </li>
 <li>
 Strong skills in experimental design/statistical analysis
 </li>
 <li>
 Strong software engineering skills
 
 
 </li>
 </ul>
 Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice (https://www.amazon.jobs/en/privacy_page) to know more about how we collect, use and transfer the personal data of our candidates.
 
 
 m/w/d
 
 
 Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner.
 
 
 
 
 Company
 
 - Amazon Development Center Germany GmbH
 
 
 Job ID: A10376861
</div>

Applied Scientist, Amazon Robotics

ALMETRA

<div>Join us in reshaping manufacturing with advanced tech like computer vision and AI!
As a Senior/Staff Robotics Engineer (m/f/d), you will be integral in driving our company's next phase of innovation - automating industrial processes to address the scarcity of skilled labor. We have already proven our ability to optimize processes and increase efficiency, and now we are determined to automate tasks within industrial environments. Your main focus will be on R&amp;D and will involve building and showcasing a demonstrator that utilizes industrial robot arms to automate currently manual tasks.
You have a strong background in state of the art in robotic manipulation, extensive experience in modeling, planning, and controlling robotic systems, as well as applying machine learning techniques to enhance robotic manipulation capabilities.
Your role<ul><li>
Lead R&amp;D efforts to prototype a new robotic manipulator, conducting rigorous testing to validate design specifications and performance criteria.</li><li>
Work with industry-standard hardware platforms (e.g., ROS-compatible robots, specific sensor suites) to develop and deploy robotic manipulators for real world testing.</li><li>
Develop and implement models for hybrid dynamical systems exhibiting both continuous and discrete dynamic behaviors, specifically in robotic manipulators.</li><li>
Design advanced planning algorithms to optimize manipulation tasks such as pick-and-place operations.</li><li>
Experience with supervised learning, unsupervised learning, and reinforcement learning techniques to improve manipulation performance in robots.</li><li>
Previously trained RL models in both simulated and real-world environments with continuous action and state spaces.</li><li>
Design and develop middleware and software solutions tailored for robotic manipulation applications.</li><li>
Optimize software architecture for efficient communication between sensors, processors, and actuators in robotic manipulators.</li><li>
Develop perception algorithms for object pose estimation, matching, and instance segmentation to aid in manipulation tasks.</li><li>
Utilize deep learning techniques for end-to-end and self-supervised grasping, enhancing the robot's autonomous manipulation capabilities.</li><li>
Experience with integration between hardware components, including tactile sensors, force sensors, vision systems (e.g., RGB-D cameras), and depth sensors to optimize communication protocols and data flow for efficient robotic operations.</li></ul>
Your profile<ul><li>
Ph.D. in Robotics, Mechanical Engineering, Electrical Engineering, Computer Science, or related field, with a strong emphasis on robotics.</li><li>
Minimum of 1-2 years of experience in robotics research or development.</li><li>
Proven experience in modeling, planning, and controlling hybrid dynamical systems for robotic manipulation.</li><li>
Hands-on experience with machine learning techniques applied to robotic manipulation tasks.</li><li>
Experience with robotic perception technologies and deep learning frameworks as applied to manipulation.</li><li>
Strong programming skills in C++, Python, and familiarity with ROS (Robot Operating System).</li><li>
Experience with simulation tools such as Nvidia Isaac SIM, Gazebo, V-REP, CUDA for robotic manipulation.</li><li>
Proficiency with machine learning libraries like TensorFlow or PyTorch.</li><li>
Fluency in English is mandatory.</li></ul>
What we offer
Employee Share Options Program for all permanent employees*
An increasing benefits list: currently includes Urban Sports club and quarterly team retreats.
Be on the forefront in defining what artificial intelligence means in manufacturing
Gain hands-on experience in working in an AI-first software company
Supportive and inclusive culture that values diversity and promotes the advancement of underrepresented groups within the company
Collaborate with a diverse (currently more than 10 nationalities) and talented team, working on cutting-edge projects with real-world impact
Network with professionals and leaders in the field, opening doors to potential future career opportunities
We have a very flat hierarchy, open 360&deg; feedback, and flexible working hours
Ethics: We are committed to developing ethical AI software 
 
Don't meet all the requirements?
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.<ul><li> 
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.</li></ul></div>

Senior/Staff Robotics Engineer (m/f/d)

RoboService

<div>
 
 
 Company Description
 
 
 
 RoboService solves the "Last Mile" of humanoid robotics. While manufacturers provide the hardware and foundation models, these general-purpose "brains" are not yet ready for the specific, accurate tasks of a production line. We bridge that gap.
 
 
 
 
 
 We don't build foundation models from scratch; we operationalize them. We take state-of-the-art VLA models and fine-tune them for reliability, speed, and precision in real-world manufacturing environments.
 
 
 
 
 
 We are not a research lab; we are shipping code that moves atoms. Launched in July 2025 by repeat founders with successful exits, we are looking for engineers who want to take robots out of the lab and onto the factory floor.
 
 
 
 
 
 
 Role Description
 
 
 
 We are looking for an intern / working student who joins our Robotics Machine Learning Engineering team. You will bridge the gap between "remote controlled hardware" and "autonomous robots". We work with robotics manufacturers that provide great hardware and a model infrastructure, but are missing the software to fine-tune the models on a specific task. Your primary focus will be establishing training pipelines - from teleoperation data collection to fine-tuning VLA models and utilizing Reinforcement Learning (RL) to fine-tune complex manipulation tasks.
 
 
 
 
 
 You won't be writing papers. You will be:
 
 
 
 
 <ul>
 <li>
 Building
 
 data pipelines
 
 to capture and analyze training data
 </li>
 <li>
 Fine-tuning
 
 VLA models
 
 (open source and proprietary models from our partners)
 </li>
 <li>
 Managing the
 
 Data Pipeline
 
 and overseeing the
 
 Teleoperation
 
 activities. Manage large datasets required for fine-tuning models.
 </li>
 <li>
 
 Reinforcement Learning
 
 (RL): Apply RL techniques to fine-tune robot actions, ensuring robust performance when the robot works on the production line.
 </li>
 <li>
 Utilize high-fidelity simulation environments (
 
 MuJoCo
 
 ,
 
 NVIDIA Isaac Sim, Omniverse
 
 ) to train and test agents before deploying them to physical hardware. (Sim2Real)
 </li>
 </ul>
 
 
 
 
 
 Qualifications
 
 
 <ul>
 <li>
 
 Education
 
 : Currently pursuing your Master&rsquo;s degree or PhD in Robotics, Computer Science, Data Science, Artificial Intelligence, or a related field.
 </li>
 <li>
 
 Experience
 
 : Machine Learning, Deep learning, or embodied AI. Hands-On Robotics Experience.
 </li>
 <li>
 
 Core ML Skills
 
 : Strong proficiency in Python and deep learning frameworks (PyTorch, TensorFlow, or JAX). Experience with Transformers and VLA architectures is highly desirable.
 </li>
 <li>
 
 Simulation
 
 : Proven experience with physics-based simulators, specifically NVIDIA Isaac Sim or similar (Gazebo, MuJoCo).
 </li>
 <li>
 
 Data Engineering:
 
 Ability to analyze and manage large datasets, automate data cleaning, and build training pipelines.
 </li>
 <li>
 Proficiency in
 
 English
 
 </li>
 </ul>
 
 
 
 
 
 What We Offer
 
 
 
 
 
 <ul>
 <li>
 
 Path to Full-Time
 
 : After a successful internship, we aim to extend a full-time offer.
 </li>
 <li>
 
 Berlin based
 
 : We&rsquo;re an in-person team and we work out of our office in downtown Berlin. If you're not in Berlin yet, be prepared to move here before the start of the job.
 </li>
 <li>
 
 Access to Cutting Edge Tech
 
 : Work daily on the latest software and hardware that will shape our future.
 </li>
 <li>
 
 Impact
 
 : Work in real projects with manufacturers to bring robots onto manufacturing floors.
 </li>
 <li>
 
 Startup Environment
 
 : We are a fast-moving startup with high growth ambitions.
 </li>
 <li>
 
 Team of Experts
 
 : We are a team of experts where every voice matters. Work with professionals that are leading their field.
 </li>
 </ul>
 
 
 
 
 
 Apply now!
 
 
</div>

Internship - Data Science & Robotics Machine Learning

Zeta Global

<div>
 
 &nbsp;
 
 
 
 WHO WE ARE&nbsp;
 
 
 
 Zeta Global (NYSE: ZETA) is the AI-Powered Marketing Cloud that leverages advanced artificial intelligence (AI) and trillions of consumer signals to make it easier for marketers to acquire, grow, and retain customers more efficiently. Through the Zeta Marketing Platform (ZMP), our vision is to make sophisticated marketing simple by unifying identity, intelligence, and omnichannel activation into a single platform &ndash; powered by one of the industry&rsquo;s largest proprietary databases and AI. Our enterprise customers across multiple verticals are empowered to personalize experiences with consumers at an individual level across every channel, delivering better results for marketing programs. Zeta was founded in 2007 by David A. Steinberg and John Sculley and is headquartered in New York City with offices around the world. To learn more, go to www.zetaglobal.com.
 
 
 &nbsp;
 
 
 
 The Role
 
 
 
 We&rsquo;re looking for a skilled&nbsp;
 
 ML Engineer / Data Scientist
 
 &nbsp;with&nbsp;
 
 3+ years of software or applied ML experience
 
 &nbsp;to design, build, and improve machine learning solutions in a dynamic cloud environment, primarily on&nbsp;
 
 AWS
 
 .This role sits at the intersection of&nbsp;
 
 data science and engineering
 
 : exploring data, developing models, running rigorous experiments, and bringing the best approaches into production with a reliable, reproducible workflow. If strong Python skills, curiosity about hard modeling problems, and collaborative work in multicultural teams are a fit, this is a chance to do meaningful, end-to-end ML work&mdash;not just notebooks, and not just infrastructure.
 
 
 &nbsp;
 
 
 
 Who you are:
 
 
 <ul>
 <li>
 Strong foundation in&nbsp;
 
 machine learning,&nbsp;statistics
 
 and&nbsp;
 
 experiment design
 
 .
 </li>
 <li>
 Experience building models for&nbsp;
 
 real business or product problems
 
 , not only academic benchmarks.
 </li>
 <li>
 Comfortable working with&nbsp;
 
 structured and unstructured data
 
 : feature engineering, dataset construction, labeling quality, leakage checks, and train/validation/test discipline.
 </li>
 <li>
 Able to compare approaches with clear&nbsp;
 
 metrics
 
 , error analysis, and sound judgment about tradeoffs (accuracy, latency, cost, maintainability).
 </li>
 <li>
 Interest in&nbsp;
 
 modern ML
 
 , including classical ML, deep learning, and&nbsp;
 
 LLM / GenAI workflows
 
 &nbsp;where relevant (fine-tuning, RAG, evaluation, prompt/versioning).
 </li>
 <li>
 Proficient in&nbsp;
 
 Python
 
 &nbsp;and able to write&nbsp;
 
 clean, modular, testable&nbsp;code
 
 .
 </li>
 <li>
 Experience developing and deploying ML solutions in a&nbsp;
 
 cloud environment
 
 , especially&nbsp;AWS.
 </li>
 <li>
 Comfortable moving from prototype to production: packaging models, building inference paths, monitoring performance, and iterating after launch.
 </li>
 <li>
 Independent engineer who can own work from&nbsp;
 
 problem framing &rarr; experimentation &rarr; implementation &rarr; rollout
 
 .
 </li>
 <li>
 Excellent&nbsp;
 
 written and spoken English
 
 .
 </li>
 <li>
 Enjoy working closely with engineers, product partners, and other data scientists.
 </li>
 <li>
 Clear communicator who can explain methods, results, and limitations to technical and non-technical audiences.
 </li>
 <li>
 
 Master&rsquo;s degree
 
 &nbsp;in Science or Engineering (Computer Science, Mathematics, Physics, Statistics, or similar),&nbsp;
 
 or equivalent practical experience
 
 .
 </li>
 </ul>
 
 
 Nice to have:
 
 
 <ul>
 <li>
 Experience with&nbsp;
 
 scikit-learn,&nbsp;PyTorch,&nbsp;TensorFlow,&nbsp;XGBoost
 
 , or similar modeling stacks.
 </li>
 <li>
 Familiarity with&nbsp;
 
 ML experiment tracking
 
 &nbsp;and reproducibility (e.g. MLflow, W&amp;B).
 </li>
 <li>
 Experience with&nbsp;
 
 SQL
 
 , data warehouses/lakes, and pipeline tools such as&nbsp;
 
 Airflow,&nbsp;dbt, or&nbsp;Spark
 
 .
 </li>
 <li>
 Exposure to&nbsp;
 
 feature stores
 
 , embedding pipelines, or&nbsp;
 
 vector search
 
 &nbsp;for retrieval-based systems.
 </li>
 <li>
 Experience building&nbsp;
 
 HTTP/gRPC APIs
 
 &nbsp;or lightweight services around model inference.
 </li>
 <li>
 Working knowledge of&nbsp;
 
 Docker
 
 , basic orchestration, and CI/CD (e.g.&nbsp;
 
 GitLab CI
 
 ).
 </li>
 <li>
 Experience in&nbsp;
 
 agile
 
 ,&nbsp;
 
 remote
 
 and&nbsp;
 
 async
 
 &nbsp;team environments.
 </li>
 <li>
 Publications, patents, Kaggle/competition results, or open-source ML contributions.
 </li>
 </ul>
 
 
 What you might like about this role:
 
 
 <ul>
 <li>
 
 Hands-on modeling work
 
 &nbsp;with room to explore, benchmark, and improve real systems.
 </li>
 <li>
 Collaboration on&nbsp;
 
 ML patent submissions
 
 &nbsp;and participation in&nbsp;weekly ML / research paper review&nbsp;meetings.
 </li>
 <li>
 A&nbsp;
 
 multicultural, engineering-focused team
 
 &nbsp;with strong peer support.
 </li>
 <li>
 
 High trust and autonomy
 
 &mdash;clear goals, freedom in how to reach them.
 </li>
 <li>
 
 Internal product impact
 
 : meaningful projects that improve developer and user experience, not endless maintenance tickets.
 </li>
 <li>
 
 Short approval cycles
 
 &nbsp;and solid product partnership.
 </li>
 <li>
 A&nbsp;
 
 healthy meeting policy&nbsp;
 
 and emphasis on protecting focus time.
 </li>
 <li>
 
 Flexible hours
 
 , remote/home office options, and a calm, engineers-only office when on-site.
 </li>
 <li>
 
 Competitive compensation
 
 , including&nbsp;stock options.
 </li>
 </ul>
 &nbsp;
 
 We&rsquo;re hiring across
 
 multiple levels
 
 . Title, scope, and compensation depend on experience&mdash;from strong applied ML generalists to senior people who can lead modeling direction and mentor others.
 
 
 We&rsquo;re especially interested in candidates who are&nbsp;
 
 technically strong, intellectually curious, and motivated by difficult, ambiguous problems
 
 &nbsp;where good data science and solid engineering both matter.
 
 
 &nbsp;
 
 
 &nbsp;
 
 
 
 PEOPLE &amp; CULTURE AT ZETA
 
 
 
 Zeta considers applicants for employment without regard to, and does not discriminate on the basis of an individual&rsquo;s sex, race, color, religion, age, disability, status as a veteran, or national or ethnic origin; nor does Zeta discriminate on the basis of sexual orientation, gender identity or expression.&nbsp;&nbsp;
 
 
 We&rsquo;re committed to building a workplace culture of trust and belonging, so everyone feels invited to bring their whole selves to work. We provide a forum for employees to celebrate, support and advocate for one another. Learn more about our commitment to diversity, equity and inclusion here:&nbsp; https://zetaglobal.com/blog/a-look-into-zetas-ergs/&nbsp;
 
 
 
 ZETA IN THE NEWS!
 
 
 
 https://zetaglobal.com/press/?cat=press-releases&nbsp;
 
 
 &nbsp;
 
 
 
 
 
</div>

ML Ops Engineer

ENWAY a Bucher Company

<div>
 
 Autonomous street cleaning is no longer a concept - it's on the road. At ENWAY, a Bucher Municipal company based in Berlin, we turn conventional street sweepers into self-driving machines through advanced robotics and software engineering. We've just launched our first product: the Bucher CityCat VR17ae, a fully autonomous compact sweeper.
 
 
 
 As our Full Stack Web Engineer, you'll build the web applications and tools that bring our vehicles to life for the people who operate them - fleet dashboards, customer and operator portals, and the internal tools our engineering and operations teams rely on every day. You'll own features end to end, from UI to API to data.
 
 
 
 This is a role for a versatile engineer who's comfortable across the stack, cares about building things people actually use, and enjoys turning complex data - live vehicle telemetry, fleet status, mission data - into clear, reliable interfaces. You'll work closely with our product, design, robotics, and operations teams.
 
 
 
 Backed by Bucher Municipal, a world-leading manufacturer of municipal cleaning vehicles (sweepers, sewer cleaning, winter maintenance, refuse collection, and digital services), you get startup pace with industrial-scale impact.
 
 
 Tasks
 
 <ul>
 
 <li>
 Build and maintain web applications across the full stack - frontend, backend, and APIs - for fleet monitoring, operations, and customer-facing products.
 </li>
 
 <li>
 Turn live vehicle and fleet data into clear, responsive dashboards and visualisations (status, telemetry, maps, reports).
 </li>
 
 <li>
 Design and build robust APIs and data models, and integrate with our vehicle, telematics, and backend systems.
 </li>
 
 <li>
 Build internal tools that make our engineering, service, and operations teams faster.
 </li>
 
 <li>
 Own features end to end: design, implement, test, deploy, and iterate based on real user feedback.
 </li>
 
 <li>
 Collaborate closely with product, design, robotics/software, and operations to ship the right things.
 </li>
 
 <li>
 Help shape our frontend/backend architecture, standards, and best practices as our digital products grow.
 </li>
 
 </ul>
 
 Requirements
 
 
 
 Must have:
 
 
 
 <ul>
 
 <li>
 Experience building and shipping production web applications end to end (frontend and backend).
 </li>
 
 <li>
 Proficiency with a modern frontend framework (e.g. React, Vue, or Angular) and TypeScript/JavaScript.
 </li>
 
 <li>
 Solid backend experience (e.g. Node.js) building and maintaining REST and/or GraphQL APIs.
 </li>
 
 <li>
 Good command of relational databases (e.g. PostgreSQL) and sound data modelling.
 </li>
 
 <li>
 Comfortable with Git, automated testing, and CI/CD.
 </li>
 
 <li>
 Solid grasp of web fundamentals, API design, and security basics.
 </li>
 
 <li>
 Ownership mindset - you take features from idea to production and care about quality.
 </li>
 
 <li>
 Able to work independently and collaboratively in a cross-functional team.
 </li>
 
 <li>
 3+ years of professional full-time experience.
 </li>
 
 <li>
 Fluent English.
 </li>
 
 </ul>
 
 
 
 Nice to have:
 
 
 
 <ul>
 
 <li>
 German language skills.
 </li>
 
 <li>
 Real-time data (WebSockets, streaming) and event-driven systems.
 </li>
 
 <li>
 Maps and geospatial data (e.g. Mapbox, Leaflet, PostGIS).
 </li>
 
 <li>
 Cloud (AWS/GCP/Azure) and containers (Docker).
 </li>
 
 <li>
 Data-visualisation / dashboard experience.
 </li>
 
 <li>
 A good eye for UI/UX and working closely with designers.
 </li>
 
 <li>
 Interest in robotics, IoT, telematics, or hardware-connected products.
 </li>
 
 </ul>
 
 Benefits
 
 <ul>
 
 <li>
 Build digital products that put autonomous and connected vehicles into real-world operation.
 </li>
 
 <li>
 High ownership and direct impact - your work is used every day by operators, customers, and colleagues.
 </li>
 
 <li>
 30 days of vacation per year.
 </li>
 
 <li>
 Flexible working times &amp; Hybrid working (achievement of goals matters, not "face time").
 </li>
 
 <li>
 Flat hierarchies and the freedom to develop and implement your own ideas.
 </li>
 
 <li>
 High-performance company laptop.
 </li>
 
 <li>
 Lunch &amp; fitness-studio subsidies.
 </li>
 
 <li>
 Cool and vibrant working environment at the center of groundbreaking innovation.
 </li>
 
 <li>
 Exciting team events.
 </li>
 </ul>
</div>

Full Stack Web Engineer (f/m/d)

REPLY

<div><div>Aufgaben<div><ul><li>
Als Teil unseres innovativen und internationalen Teams &uuml;bernimmst du Verantwortung bei der Realisierung innovativer AI- und GenAI-Anwendungen in unterschiedlichsten Branchen</li><li>
Dies umfasst den eigenverantwortlichen Entwurf, die Entwicklung und Integration GenAI-gest&uuml;tzter, Cloud-nativer Anwendungen unter Einsatz von Amazon Web Services, Microservices auf Basis von Serverless Applications mit AWS Lambda und Amazon API Gateway, Containertechnologien (z.B. Docker, K8s, EKS, Fargate) sowie DevOps-Prinzipien / Infrastructure as Code (AWS CDK, Terraform, CloudFormation), mit denen du Projekte in den reibungslosen Betrieb &uuml;berf&uuml;hrst</li><li>
Du konzipierst und implementierst RAG-Architekturen mit Vektordatenbanken (z.B. Amazon OpenSearch Service, Aurora PostgreSQL mit pgvector), entwickelst Agenten-basierte Systeme und Agent-Orchestrierungen mit Amazon Bedrock und modernen Agent-Frameworks, bindest Tools und Datenquellen &uuml;ber das Model Context Protocol (MCP) an und integrierst Foundation Models sicher und kosteneffizient in die Anwendungslandschaften unserer Kunden</li><li>
Du verantwortest die Anforderungsdefinition mit unseren Kunden und unterst&uuml;tzt aktiv bei der Erstellung von Angeboten</li><li>
Du arbeitest im Rahmen agiler Projekte und entwickelst dich im engen Austausch mit unseren erfahrenen Engineers kontinuierlich weiter</li></ul></div></div><div>
Benefits<ul><div><div><div>
SPORTZUSCHUSS</div></div></div><div><div><div>
MODERNE TECHNOLOGIEN</div></div></div><div><div><div>
HYBRIDES ARBEITEN</div></div></div><div><div><div>
COMPANY EVENTS</div></div></div></ul><div><ul><li>
Bei uns kannst du deine Ideen einbringen und die Weiterentwicklung der Firma mitgestalten</li><li>
Wir bieten dir einen modernen Arbeitsplatz mit super Hardware (nach Wahl) und eine internationale und famili&auml;re Arbeitsumgebung mit flachen Hierarchien. Bei uns l&auml;sst sich der Job gut mit der Familie verbinden</li><li>
Bei uns kannst du ein JobRad bekommen, wir beteiligen uns an deinen sportlichen Aktivit&auml;ten und &uuml;ber die Reply Gruppe bekommst du Zugriff auf zahlreiche weitere Benefits</li><li>
Team Building ist bei uns ein wichtiger Faktor: Im Jahr finden diverse Events statt</li></ul></div></div><div>
Qualifikationen<div><ul><li>
Wir freuen uns auf dein erfolgreich abgeschlossenes Hochschulstudium in Informatik, Ingenieurwesen, Mathematik, Physik oder einem vergleichbaren technischem Studiengang mit erster Berufserfahrung (bis zu 3 Jahre) als AI/ML Engineer</li><li>
Sehr gute Kenntnisse der AWS &mdash; AWS und KI Zertifizierungen (Associate-Level oder h&ouml;her) sind ein Plus</li><li>
Sehr gute Kenntnisse g&auml;ngiger Programmier- und Skriptsprachen (Python, Typescript / JavaScript, Java) und Erfahrung in mehreren Bausteinen des nachfolgenden Tech- und Toolstacks: Node.JS / NPM, Vue.JS, Nuxt.JS, Spring, JUnit, Jest, Mocha, Lodash, Git, Github Actions, Bitbucket Pipelines, AppSync (GraphQL), Amazon API Gateway, AWS Lambda, Infrastructure as Code (AWS CDK, Terraform), sowie SQL und NoSQL Datenbanken (z.B. Amazon RDS, Amazon Aurora, Amazon DynamoDB, Amazon Timestream)</li><li>
Praktische Erfahrung mit Generativer KI und LLMs - insbesondere mit GenAI-Architekturen und ihren Bausteinen wie RAG, Agent-Orchestrierung und Model Context Protocol (MCP) -, AWS AI-Services (z.B. Amazon Bedrock, Amazon SageMaker), Agent-Frameworks (z.B. Strands Agents SDK, LangChain / LangGraph, CrewAI, Vercel AI SDK) sowie mit AI-gest&uuml;tzter und agentischer Softwareentwicklung (z.B. Claude Code, Amazon Q Developer, GitHub Copilot)</li><li>
Erfahrung im Requirements Engineering und in der &Uuml;bersetzung fachlicher Anforderungen in technische L&ouml;sungen</li><li>
Sehr gute Kommunikationsf&auml;higkeit in deutscher und englischer Sprache sowie Bereitschaft zu gelegentlichen Reisen runden dein Profil ab</li></ul></div></div><div>
Develop yourself and the digital future &ndash; at Reply!<div>
Reply ist spezialisiert auf die Konzeption und Implementierung von L&ouml;sungen, die auf neuen Kommunikationskan&auml;len und digitalen Medien basieren. Mit einem Netzwerk hoch spezialisierter Unternehmen definiert und entwickelt Reply Gesch&auml;ftsmodelle, die durch KI, Big Data, Cloud Computing, digitale Medien und dem Internet der Dinge erm&ouml;glicht werden. Reply bietet Beratung, Systemintegration und Digital Services f&uuml;r Unternehmen aus den Bereichen Telekommunikation und Medien, Industrie und Dienstleistungen, Banken und Versicherungen sowie &ouml;ffentliche Verwaltung.</div></div></div>

AI ENGINEER — GENAI & AGENTIC SOLUTIONS (M/W/D) AMAZON WEB SERVICES

<div><div>Aufgaben<div><ul><li>
Als Teil unseres innovativen und internationalen Teams &uuml;bernimmst du Verantwortung bei der Beratung und Realisierung von Cloud-Anwendungen und -infrastrukturen (z.B. im Bereich AI, Agentischen Systemen, IoT, Analytics &amp; BI) f&uuml;r unsere Kunden</li><li>
Du verantwortest Entwurf, Entwicklung, Integration und Blueprinting auf Basis von Amazon Web Services - Microservices mit AWS Lambda und Amazon API Gateway sowie Container (Docker, K8s, EKS, Fargate) -, &uuml;berf&uuml;hrst Projekte mit DevOps-Prinzipien / Infrastructure as Code (AWS CDK, Terraform, CloudFormation) in den reibungslosen Betrieb und entwickelst die Systemlandschaft stetig weiter</li><li>
Du baust Pipelines f&uuml;r AI-Workloads auf - vom Deployment von GenAI-Anwendungen mit Amazon Bedrock und Amazon SageMaker &uuml;ber Monitoring und Evaluierung bis zur Kostensteuerung im laufenden Betrieb</li><li>
Du entwickelst bestehende Best Practices zur Automatisierung der Infrastruktur und der Deployment Pipeline kontinuierlich weiter und tauschst dich dabei aktiv mit unseren erfahrenen Engineers aus</li></ul></div></div><div>
Benefits<ul><div><div><div>
SPORTZUSCHUSS</div></div></div><div><div><div>
COMPANY EVENTS</div></div></div><div><div><div>
HYBRIDES ARBEITEN</div></div></div><div><div><div>
MENTORING PROGRAMM</div></div></div></ul><div><ul><li>
Bei uns kannst du deine Ideen einbringen und die Weiterentwicklung der Firma mitgestalten</li><li>
Wir bieten dir einen modernen Arbeitsplatz mit super Hardware (nach Wahl) und eine internationale und famili&auml;re Arbeitsumgebung mit flachen Hierarchien. Bei uns l&auml;sst sich der Job gut mit der Familie verbinden</li><li>
Bei uns kannst du ein JobRad bekommen, wir beteiligen uns an deinen sportlichen Aktivit&auml;ten und &uuml;ber die Reply Gruppe bekommst du Zugriff auf zahlreiche weitere Benefits</li><li>
Team Building ist bei uns ein wichtiger Faktor: Im Jahr finden diverse Events statt</li></ul></div></div><div>
Qualifikationen<div><ul><li>
Erfolgreich abgeschlossenes Hochschulstudium in Informatik, Ingenieurwesen, Mathematik, Physik oder einem vergleichbaren technischem Studiengang und erste Berufserfahrung (bis zu 3 Jahre) als DevOps Engineer (m/w/d), Software Developer (m/w/d( oder System Administrator (m/w/d)</li><li>
Sehr gute Kenntnisse der AWS - AWS Zertifizierungen (Associate-Level oder h&ouml;her) sind ein Plus - und gute Erfahrung mit Linux- und Windowsumgebungen, Netzwerken und IT-Sicherheit, sowie ausgepr&auml;gte Kenntnisse in Containertechnologien</li><li>
Du kennst dich in g&auml;ngigen Skriptsprachen (z.B. Typescript, Bash und Python) und Infrastructure as Code (z.B. Terraform, CloudFormation oder Amazon CDK) aus und besitzt Monitoring Skills (z.B. mit Prometheus / Grafana, DataDog, OpsView, Nagios, Amazon CloudWatch)</li><li>
Au&szlig;erdem verf&uuml;gst du &uuml;ber sehr gute Kenntnisse in IT-Infrastrukturen sowie Spa&szlig; an agilen Projekten</li><li>
Kenntnisse im Einsatz von AWS AI-Services (z.B. Amazon Bedrock, Amazon SageMaker) sowie Erfahrung mit AI-gest&uuml;tzten Entwicklungswerkzeugen und Agentic Coding (z.B. Amazon Q Developer, Claude Code)</li><li>
Sehr gute Kommunikationsf&auml;higkeit in deutscher und englischer Sprache sowie Bereitschaft zu gelegentlichen Reisen runden dein Profil ab</li></ul></div></div><div>
Develop yourself and the digital future &ndash; at Reply!<div>
Reply ist spezialisiert auf die Konzeption und Implementierung von L&ouml;sungen, die auf neuen Kommunikationskan&auml;len und digitalen Medien basieren. Mit einem Netzwerk hoch spezialisierter Unternehmen definiert und entwickelt Reply Gesch&auml;ftsmodelle, die durch KI, Big Data, Cloud Computing, digitale Medien und dem Internet der Dinge erm&ouml;glicht werden. Reply bietet Beratung, Systemintegration und Digital Services f&uuml;r Unternehmen aus den Bereichen Telekommunikation und Medien, Industrie und Dienstleistungen, Banken und Versicherungen sowie &ouml;ffentliche Verwaltung.</div></div></div>

DEVOPS ENGINEER — CLOUD & AI OPERATIONS (M/W/D) AMAZON WEB SERVICES

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