(senior) fullstack engineer (typescript) - client success platform (m/f/x)

backend software engineer // ai music video platform

(junior) cloud site reliability engineer (network) (m/f/x)

(junior) full-stack software engineer - supply chain management applications (m/f/d)

(senior) cloud engineer / linux-spezialist (m/w/d)

full stack engineer

senior data engineer

(senior) data engineer (gn) Jobs in Berlin

(senior) data engineer (gn)

(senior) fullstack engineer (typescript) - client success platform (m/f/x) Jobs in Berlin

backend software engineer // ai music video platform Jobs in Berlin

senior lead software engineer

idealo internet

<div><p>As a Senior Android Engineer at idealo, you drive the evolution of our award-winning e-commerce apps. We enable millions of users to do price comparison and good buying decisions on their mobile phone. We are a fully integrated and autonomous team that balances using proven technologies with cutting edge experimentation, delivering best in class user experiences and impact on idealo&rsquo;s mission. We own our code and decide on the technical direction of our products. And we need strong support to grow further.</p><p></p><h3 class="jobSectionHeader"><b>
About your new role</b></h3><ul><li>
At idealo you are part of a team of highly motivated Android developers that strive for excellence in product and software development.</li><li>
You work closely with product owners, user experience designers, data analysts and an engineering team for our backend for frontend (BFF).</li><li>
We work as an agile team where you will be involved in product development from ideation to operating a product at scale.</li><li>
You&rsquo;re routinely working with modern technologies and practices on a high quality Kotlin codebase, allowing us to innovate fast and efficiently.</li><li>
A refined user interface is important to you, and you work closely with your UX colleagues to make features even better during implementation.</li><li>
You apply pragmatic solutions, find the right trade-offs, and seek to reduce complexity to help your team to deliver and increase leverage for the organisation.</li></ul><p></p><h3 class="jobSectionHeader"><b><br>
Skills &amp; Requirements</b></h3><ul><li>
You have a deep understanding of Android development and extensive experience working with Kotlin and Kotlin coroutines.</li><li>
Experience with concepts like MVVM, Clean Code and SOLID is a must, and you know how to apply software design and architecture patterns.</li><li>
Ideally, you are experienced with implementing GraphQL APIs.</li><li>
You are passionate about writing readable, reliable, maintainable, and testable code.</li><li>
You are an open and communicative team player, curious about solving interesting and sometimes complex problems.</li><li>
You are a self-sufficient and well organised engineer, and you can expect the same from the team around you.</li></ul><p></p><h3 class="jobSectionHeader"><b>
At idealo you can expect</b></h3><ul><li><b>
You want to further your education?</b> We take your personal development goals seriously and, in addition to our idealo Learning Hub, eLearning offerings (e.g., Udemy), coaching &amp; mediation, we also offer you the opportunity to benefit individually from additional learning and development budget.</li><li><b>
And what about the office? </b>Our office in the heart of Berlin offers free organic breakfast, excellent free lunch (vegan and vegetarian), as well as free coffee, lemonades and after-work beer, in addition to the &quot;standard foosball&quot;. It also has a fabulous rooftop terrace with view of the whole of berlin where you can network with colleagues from our group of companies.</li><li><b>
In need of additional support in any areas of your life?</b> We offer free counseling and support in all areas of life (professional, private, family, health, etc.) in cooperation with the pme-Familienservice.</li><li><b>
You want full flexibility on your way to work and beyond? </b>No problem with a job bike or Deutschlandticket - and it's environmentally friendly, too!</li><li><b>
Want to keep yourself fit?</b> We offer many different fitness and sports options, such as an Urban Sports or Gympass membership, to suit your personal needs.</li><li><b>
And what else is there?</b> Of course, success must be celebrated! In addition to team events, you can also expect big company events and other moments of organized connection with others in the company and your team throughout the year!</li></ul><p>
#LI-AJ1</p></div>

Senior Android Engineer - Kotlin (m|w|d)

Future Energy Services GmbH

<div><h1 class="jobSectionHeader"><b>Senior Data Engineer</b></h1><div></div><div><br>
</div><h2 class="jobSectionHeader"><b>
About trawa</b></h2><div></div><p><br>
European energy costs are twice as high as in the United States and China. Electricity demand is expected to double by 2050. Market price volatility and complexity are here to stay - and the backbone of Europe's industrial economy is at risk.</p><div></div><p><br>
At trawa, we're building the solution: an integrated B2B energy platform combining procurement, energy management, and flexibility steering in a single product. That integration unlocks up to 30% in recurring electricity cost savings while helping companies make the switch to renewables.</p><div></div><p><br>
We're a Berlin-based scale-up of around 100 people. We've raised over &euro;35M to date - including a &euro;24M Series A in May 2025 - backed by Balderton, Headline, Speedinvest, AENU, Magnetic, and Tiny VC. All three founders are fully committed to building the utility of the future.</p><div></div><div><br>
</div><h2 class="jobSectionHeader"><b>
The Team</b></h2><div></div><p><b><br>
Data Intelligence (DINTEL)</b> is an engineering team that owns trawa's data pipelines, and analytics infrastructure. We manage the full data lifecycle - from ingesting raw metering and market data, to invoicing and self-service analytics.</p><div></div><div><br>
</div><h2 class="jobSectionHeader"><b>
About the Role</b></h2><div></div><p><br>
We're looking for a <b>Senior Data Engineer</b> to own and lead the development, reliability, and continuous evolution of our data platform. This is a high-ownership, high-autonomy role. You'll work across production systems at scale - defining technical direction, coordinating cross-team dependencies, and driving measurable impact across data engineering, analytics infrastructure, and operational tooling.</p><p>
You'll mentor teammates and be supported by experienced engineering leaders as you continue to grow your own leadership and technical skills.<br>
<br>
This role follows a hybrid working model. We expect team members to spend around 2-3 days per week in our Berlin office. There are no fixed office days and we don't monitor attendance strictly, but regular in-person collaboration is an important part of how we work.</p><div></div><div><br>
</div><h2 class="jobSectionHeader"><b>
What You'll Do</b></h2><div></div><ul><li><p><br>
Lead the design, implementation, and operation of critical data pipelines and platform infrastructure on AWS</p></li><li><p>
Define and evolve data quality standards, observability practices, and operational controls across the platform</p></li><li><p>
Lead cross-team technical discussions and help align stakeholders on data platform architecture decisions</p></li><li><p>
Deliver large-scale technical initiatives end-to-end, from design through delivery, collaborating with teams across the business</p></li><li><p>
Shape the team's technical culture through code reviews, mentorship, knowledge sharing, and documentation</p></li><li><p>
Evolve our analytics and BI tooling (ClickHouse, Metabase) to support business intelligence and decision-making</p></li><li><p>
Build and maintain data pipelines using Python (pandas, polars), dbt, and dlt</p></li><li><p>
Identify and address technical debt, improving platform reliability, scalability, and developer experience</p></li><li><p>
Communicate the value and impact of platform improvements to engineering and business stakeholders</p></li><li><p>
Diagnose and resolve complex data and performance challenges across multiple systems and services</p></li></ul><div></div><div><br>
</div><h2 class="jobSectionHeader"><b>
Your First 90 Days</b></h2><div>
</div><h3 class="jobSectionHeader"><b>
First 6 Weeks - Getting Oriented</b></h3><ul><li><p>
Build context across the data platform, including AWS, dbt, dlt, PostgreSQL, ClickHouse, and Python services</p></li><li><p>
Begin contributing to production systems and taking ownership of key platform components</p></li><li><p>
Build relationships with engineers and stakeholders across the business to understand data needs, priorities, and opportunities for improvement</p></li></ul><h3 class="jobSectionHeader"><b>
By Month 3 - Building Momentum</b></h3><ul><li><p>
Take ownership of significant platform components and drive improvements with growing independence</p></li><li><p>
Begin leading a cross-team initiative with support from your manager and teammates, helping align stakeholders around a clear plan</p></li><li><p>
Identify and begin implementing a meaningful improvement to platform reliability, observability, or scalability</p></li></ul><div></div><div><br>
</div><h2 class="jobSectionHeader"><b>
What You'll Gain</b></h2><div></div><ul><li><p><br>
Ownership of a production data platform that directly powers trawa's energy trading, invoicing, and analytics</p></li><li><p>
The opportunity to work closely with engineering and business stakeholders on high-impact initiatives with company-wide visibility</p></li><li><p>
A chance to shape technical culture and contribute to the evolution of engineering practices across the Data Intelligence team</p></li><li><p>
Deep expertise across a modern data stack, including AWS, Python (pandas, polars, FastAPI), dbt, dlt, PostgreSQL, ClickHouse, and Metabase</p></li><li><p>
Support in growing your technical and leadership skills, with a clear progression framework and meaningful opportunities for advancement</p></li></ul><div></div><div><br>
</div><h2 class="jobSectionHeader"><b>
What We're Looking For</b></h2><p><br>
We know that great candidates don't always match every requirement. If you're excited about the role and believe you can contribute to our mission, we'd love to hear from you, even if your experience doesn't perfectly align with every qualification listed.</p><h2 class="jobSectionHeader"><b><br>
Core Requirements</b></h2><ul><li><p>
5+ years of experience in data engineering or a related field</p></li><li><p>
Strong SQL and Python skills</p></li><li><p>
Experience building and operating production data systems</p></li><li><p>
Experience collaborating across teams to deliver technical projects</p></li></ul><div><br>
</div><h2 class="jobSectionHeader"><b>
Nice to have</b></h2><div></div><ul><li><p><br>
Hands-on experience with parts of our stack, including dbt, dlt, ClickHouse, PostgreSQL, Metabase, or AWS</p></li><li><p>
Experience with workflow orchestration tools such as Airflow</p></li><li><p>
Familiarity with energy markets, time-series data, or operational data platforms</p></li><li><p>
Experience in a technical leadership role</p></li></ul><p></p><h2 class="jobSectionHeader"><b>
What Helps You Succeed Here</b></h2><ul><li><p>
Experience designing scalable and reliable data systems</p></li><li><p>
Enjoy mentoring and supporting the growth of teammates</p></li><li><p>
Comfort navigating ambiguity and helping bring clarity to complex problems</p></li><li><p>
Strong communication and stakeholder-management skills</p></li></ul><div></div><div><br>
</div><h2 class="jobSectionHeader"><b>
Why Join Us</b></h2><div></div><p><br>
<b>Real impact</b> - Join one of Europe's fastest-growing B2B energy platforms at a pivotal moment. Your work will directly support systems that help industrial companies cut costs and go green.</p><div></div><p><br>
<b>Early ownership</b> - We give team members responsibility from day one. You won't be shadowing - you'll be shipping.</p><div></div><p><br>
<b>Mentorship that matters</b> - Regular leadership sessions, cross-functional exposure, and engineers who are genuinely invested in your growth.</p><div></div><p><br>
<b>Learning culture</b> - Annual learning budget, dedicated development time, and a team that takes knowledge-sharing seriously.</p><div></div><p><br>
<b>Inclusive by design</b> - 15+ nationalities, family-friendly policies, and a genuine commitment to building a place where everyone can do their best work.</p><div></div><p><br>
<b>Solid benefits</b> - A competitive package covering wellbeing, learning, and team experiences.</p></div>

Senior Data Engineer

Speechify

<div><p><b>Mission</b></p>
<p><b>
Speechify is the easiest way to listen to the world's information.</b> Articles on the web, documents in the cloud, books on your phone. We absorb it all and let you listen to it at your desk, on the go, at your own speed, and with tools that make learning easier, deeper, and faster.</p>
<p>
What streaming services have done for audio entertainment, we're doing for audio information. And whatever we're doing seems to be working. We're #1 in our category, and experiencing exponential growth.</p>
<p><b>
Overview</b></p>
<p>
We're looking for a Senior Software Engineer to join our Core Experiences Team. This team builds and maintains the foundational services and SDKs that power Speechify's product experience across platforms. It's a critical role for someone who enjoys working at the intersection of product and infrastructure, thinks strategically, and is passionate about designing clear, reliable APIs and simple systems that directly enhance the user experience.</p>
<p><b>
What Yo</b><b>u'</b><b>ll Do</b></p>
<ul>
<li>Collaborate with Speechify's Product Teams to scope projects, find ways to reduce scope to get faster feedback from customers, navigate the integration/UX tradeoffs relevant to different product teams, and deliver solutions via our cross-platform SDK</li>
<li>Optimize existing functionality to ship things like faster loading and more intelligent parsing by designing more efficient abstractions and improving our algorithms</li>
<li>Ship cloud functions, lightweight backend services, and jobs using Kotlin</li>
</ul>
<p><b>An Ideal Candidate Should Have</b></p>
<ul>
<li>Systems thinking. You know that optimizing a system requires end-to-end design, and you believe simplicity is valuable.</li>
<li>Speed. You work quickly to generate ideas and options and know how to decide which things can ship now and what things need time</li>
<li>Focus. We're a high-growth startup with a busy, remote team. You know how and when to engage or be heads down</li>
<li>Collaboration. You know how to inspire, play, and negotiate with opinionated designers, marketers, and PMs</li>
<li>Preferred Tech Stack:
<ul><li>Kotlin Multiplatform (Java experience is OK but role is Kotlin Multiplatform)</li>
<li>Prior experience with GCP is a plus</li>
</ul>
</li></ul><p><b>What We Offer
</b></p><ul><li>A fast-growing environment where you can help shape the company and product.</li>
<li>An entrepreneurial-minded team that supports risk, intuition, and hustle.</li>
<li>A hands-off management approach so you can focus and do your best work.</li>
<li>An opportunity to make a big impact in a transformative industry.</li>
<li>Competitive salaries, a friendly and laid-back atmosphere, and a commitment to building a great asynchronous culture.</li>
<li>Opportunity to work on a life-changing product that millions of people use.</li>
<li>Build products that directly impact and support people with learning differences like dyslexia, ADD, low vision, concussions, autism, and more.</li>
<li>Work in one of the fastest growing sectors of tech, the intersection of artificial intelligence and audio.</li>
</ul>
<p><b>The Germany Based </b>Salary range for this role is: 30,000-120,000 USD/Year + Bonus + Stock depending on experience.</p>
<p><b>
Think you're a good fit for this job?</b></p>
<p>
Tell us more about yourself and why you're interested in the role when you apply.
<br>
And don't forget to include links to your portfolio and LinkedIn.</p>
<p><b>
Not looking but know someone who would make a great fit?</b></p>
<p>
Refer them!</p>
<p><b>
Speechify is committed to a diverse and inclusive workplace.</b></p>
<p>
Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.</p></div>

Senior Software Engineer, Core Experiences - Berlin, Germany

NextexAI

<div><p>NexTex AI is a Berlin-based deep-tech startup building an AI-powered intelligence layer for textile manufacturing.</p>
<p>
Our platform combines industrial cameras, retrofit sensors, PLC/SCADA signals, edge computing and artificial intelligence to detect textile defects, optimize production processes and generate sustainability KPIs for CSRD and EU Green Deal compliance.</p>
<p>
We are currently preparing our EXIST Startup Grant application and a ProFIT Berlin R&amp;D funding application. Our goal is to build and validate an MVP with pilot textile manufacturers during the first year and scale into one of Europe's leading industrial AI platforms for textile production.</p>
<p>
We are looking for a Founding Software Engineer who wants to join the founding team and help build the technical backbone of the company from day one.</p>
<h2 class="jobSectionHeader"><b>
Tasks</b></h2>
<p>
As a Founding Software Engineer, you will be responsible for designing and building the backend systems, cloud infrastructure and AI deployment architecture behind NexTex AI.</p>
<p>
You will work closely with the founders, machine learning engineers and future computer vision engineers to create a scalable edge-to-cloud platform for industrial AI applications.</p>
<p>
Your responsibilities include:</p>
<ul><li>Building cloud-native infrastructure and deployment pipelines</li></ul>
<ul><li>Designing and developing scalable backend services and APIs</li></ul>
<ul><li>Building dashboards, analytics systems and internal tools</li></ul>
<ul><li>Developing industrial data pipelines for machine, sensor and camera data</li></ul>
<ul><li>Supporting edge-to-cloud communication and industrial integrations</li></ul>
<ul><li>Supporting AI model deployment, monitoring and inference workflows</li></ul>
<ul><li>Structuring textile production data, defect classifications and sustainability KPIs</li></ul>
<ul><li>Working directly with pilot factories and industrial partners</li></ul>
<ul><li>Contributing to product architecture and technical strategy</li></ul>
<h2 class="jobSectionHeader"><b>
Requirements</b></h2>
<p>
Strong software engineering background</p>
<ul><li>Strong Python and C++ programming skills</li></ul>
<ul><li>Experience with FastAPI, Django, Flask, Node.js or similar frameworks</li></ul>
<ul><li>Experience with PostgreSQL or similar database systems</li></ul>
<ul><li>Experience with Docker and containerized environments</li></ul>
<ul><li>Experience with AWS, Azure or Google Cloud</li></ul>
<ul><li>Understanding of REST APIs and scalable software architectures</li></ul>
<ul><li>Fluent English</li></ul>
<ul><li>Ability to work independently in an early-stage startup environment</li></ul>
<p>
Preferred Qualifications</p>
<ul><li>Located in Berlin or willing to relocate to Berlin</li></ul>
<ul><li>Professional working proficiency in German (prior work experience in a German-speaking environment preferred)</li></ul>
<ul><li>Experience with Computer Vision and Machine Learning systems (using frameworks such as PyTorch, TensorFlow or ONNX)</li></ul>
<ul><li>Experience with MLOps and model deployment pipelines</li></ul>
<ul><li>Experience with Edge AI deployments (NVIDIA Jetson, CUDA or TensorRT)</li></ul>
<ul><li>Experience with Industrial IoT, PLC/SCADA systems or manufacturing environments</li></ul>
<ul><li>Startup or founding-team experience</li></ul>
<ul><li>Interest in textile manufacturing, sustainability and Industry 4.0</li></ul>
<h2 class="jobSectionHeader"><b>
Benefits</b></h2>
<ul><li>10% equity participation as a founding team member</li></ul>
<ul><li>Approx. &euro;2,500/month through the German Federal EXIST Startup Grant during the first year</li></ul>
<ul><li>Significant compensation increase planned following successful MVP validation and funding milestones</li></ul>
<ul><li>Opportunity to build a deep-tech startup from day one</li></ul>
<ul><li>Direct impact on product, technology and company strategy</li></ul>
<ul><li>Access to real industrial production environments and pilot textile factories</li></ul>
<ul><li>Work on AI, Computer Vision, Edge AI, Industrial IoT and Sustainability Intelligence</li></ul>
<ul><li>Direct collaboration with experienced founders, academic advisors and industry partners</li></ul>
<ul><li>Startup coaching, legal support and mentoring through EXIST and ProFIT Berlin</li></ul>
<ul><li>Opportunity to shape both the product and company from an early stage</li></ul>
<ul><li>Flexible working environment</li></ul>
<ul><li>Potential CTO-level growth opportunities as the company scales</li></ul>
<p>
We are looking for ambitious engineers who want to build something meaningful from the ground up. If you are excited about AI, industrial systems, sustainability and entrepreneurship, we would love to hear from you.</p>
<p>
To apply, please submit:</p>
<ul><li>Your CV</li></ul>
<ul><li>LinkedIn profile</li></ul>
<ul><li>A short introduction explaining why you are interested in joining NexTex AI</li></ul>
<p>
Selected candidates will be invited to:</p>
<p>
1. Introductory discussion with the founders</p>
<p>
2. Technical discussion and architecture review</p>
<p>
3. Final founder meeting</p>
<p>
If successful, you will join NexTex AI as a founding team member with 10% equity and play a key role in building the future of industrial AI for textile manufacturing.</p>
<p>
We look forward to hearing from you.</p></div>

Founding Software Engineer (Backend, Cloud & AI Infrastructure)

Thales

<div>Location: Berlin, Germany<p></p><p><b>
We Say HI*</b></p><p></p><p><b>
Senior Platform Engineer GCP (w/m/d)
</b></p><p></p><p>Thales ist ein weltweit f&uuml;hrender Anbieter von Spitzentechnologien f&uuml;r die Bereiche Verteidigung, Luft- und Raumfahrt sowie Cyber Security und Digital Identity.</p><p></p><p>
Deutsche Unternehmen und die &ouml;ffentlichen Verwaltungen hierzulande sind bereit, ihre digitale Transformation und den Einsatz von KI zu beschleunigen &ndash; aber sie werden niemals Kompromisse bei der Sicherheit ihrer sensibelsten Daten eingehen. Genau hier setzen wir als Thales Deutschland in Partnerschaft mit Google Cloud und unserem neuen, in Gr&uuml;ndung befindlichen Unternehmen an. Mit einer neuen, zu 100 % deutschen Unternehmenseinheit geben wir eine konkrete Antwort auf die strengen Anforderungen des BSI. Was wir hier schaffen, ist eine lokal und vollst&auml;ndig autonom betriebene &sbquo;Trusted Cloud&lsquo;. Sie erm&ouml;glicht den Zugriff auf das breiteste Service-Portfolio am Markt, w&auml;hrend alles strikt unter europ&auml;ischer Gerichtsbarkeit bleibt. Durch die Zusammenf&uuml;hrung deutscher und franz&ouml;sischer Standards wie SecNumCloud, C5 und C3-A bieten wir unseren Kunden eine beispiellose Resilienz und Business Continuity. Dies ist ein Wendepunkt f&uuml;r unsere Branche und ein entscheidender Schritt hin zu einem starken, souver&auml;nen digitalen Europa.</p><p></p><p><b>
Ihre Mission als Senior Platform Engineer GCP:</b></p><ul><li><p>
Betrieb und Weiterentwicklung hochverf&uuml;gbarer souver&auml;ner GCP-Services mit Fokus auf Stabilit&auml;t, Skalierbarkeit und Performance</p></li><li><p>
&Uuml;berwachung von SLI/SLO-Kennzahlen sowie Analyse und Behebung von Produktionsst&ouml;rungen im 24x7-Betrieb inklusive Teilnahme an einer Rufbereitschaft</p></li><li><p>
Zusammenarbeit mit globalen SRE- und GCP-Expertenteams zur schnellen Incident-Analyse, Fehlerbehebung und nachhaltigen Service-Optimierung</p></li><li><p>
Dokumentation von Betriebswissen, Standardisierung von Prozessen sowie Weiterentwicklung von Automatisierungs- und Operational-Playbooks</p></li><li><p>
Durchf&uuml;hrung von Post-Mortem-Analysen nach Incidents zur Identifikation von Verbesserungspotenzialen und F&ouml;rderung einer kontinuierlichen Optimierung der Systemlandschaft</p></li></ul><p></p><p><b>
Darauf freuen wir uns:</b></p><ul><li><p>
Erfolgreich abgeschlossenes Studium der Informatik, Ingenieurwissenschaften oder ein vergleichbarer Masterabschluss</p></li><li><p>
Mehrj&auml;hrige Erfahrung im Bereich Site Reliability Engineering (SRE) sowie in der Automatisierung von Betriebs- und Incident-Management-Prozessen</p></li><li><p>
Kenntnisse in regulierten Branchen mit hohen Compliance-Anforderungen, z.B. Banking, Versicherungen, Healthcare oder vergleichbaren Umfeldern mit hohen Compliance-Anforderungen</p></li><li><p>
Erfahrung in internationalen Arbeitsumgebungen sowie sehr gute Deutsch- und Englischkenntnisse in Wort und Schrift</p></li><li><p>
Erfahrungen mit Google Cloud Platform (GCP) sowie eine hohe Lernbereitschaft und Begeisterung f&uuml;r moderne Cloud-Technologien</p></li></ul><p></p><p>
Thales investiert j&auml;hrlich mehr als 4,5 Milliarden Euro in Forschung und Entwicklung in Schl&uuml;sseltechnologien wie k&uuml;nstliche Intelligenz, Cybersicherheit, Quanten- und Cloud-Technologien.</p><p></p><p>
Im Jahr 2025 erwirtschaftete die Gruppe einen Umsatz von 22,1 Milliarden Euro.</p><p>
F&uuml;r mehr als 85.000 Mitarbeitende in 65 L&auml;ndern er&ouml;ffnen wir zukunftsweisende Perspektiven, verwirklichen individuelle Karrierewege und erm&ouml;glichen kreative Freir&auml;ume. Dies gelingt durch Mut, Vielfalt und den festen Willen, die anspruchsvollen Herausforderungen unserer Zeit sicherer und inklusiver zu gestalten. <b>Mit unserer nachhaltigen, werteorientierten Personalf&uuml;hrung treten wir aktiv f&uuml;r Diversit&auml;t ein.</b></p><p></p><p><b>
Say HI* &ndash; Ihr Weg zu uns</b></p><p>
Wenn die Zeichen der Zeit auf Ver&auml;nderung stehen, sind unsere internationalen Teams da, um der Komplexit&auml;t von heute mit den branchenf&uuml;hrenden Technologien von morgen zu begegnen. Sind Sie dabei? Ihr Ansprechpartner <b>Andre Fuhrmann</b> freut sich schon auf Ihre Online-Bewerbung.</p><p></p><p>
Andre Fuhrmann &ndash; Talent Acquisition Partner</p><p>
+49 7156 / 302 - 22002</p><ul><li>Human Intelligence</li></ul><p></p><p>
#LI-AF1</p><p>
#LI-HYBRID</p></div><p></p>

Senior Platform Engineer (m/f/d)

Control Risks

<div><p>As Senior AI Engineer you will own the AI and data layer of the platform. You will design and implement the knowledge graph architecture, build agentic pipelines that enrich entity data through AI web research, and develop the graph interrogation layer that translates natural language compliance questions into structured graph queries.</p><p>
You will work closely with the CTO and a small AI team including a data engineer and a junior AI engineer. You will have significant technical autonomy and direct influence over how the product evolves.</p><p></p><p><b>
Please submit yoru CV in English.</b></p><b><br>
Requirements</b><br>
<br>
What You&rsquo;ll Work On<p><b>
Knowledge graph architecture and implementation</b></p><ul><li>Own and evolve the platform&rsquo;s knowledge graph data model &mdash; entities (Company, Person, Community, Episodic), relationships, and temporal attributes</li><li>Implement and extend custom entity and relationship extraction pipelines using LMs, with structured output validation and confidence scoring</li><li>Use Graphiti (Zep AI&rsquo;s temporal knowledge graph framework) as the memory layer, managing episode ingestion, entity resolution, and graph updates</li><li>Design and enforce graph schema standards, ensuring consistency across data sources and ingestion pipelines</li><li>Build evaluation frameworks to measure extraction quality, entity disambiguation accuracy, and graph coverage</li></ul><p></p><p><b>
Agentic AI pipelines</b></p><ul><li>Design and implement multi-step agentic workflows that orchestrate LLM calls, web search, database lookups, and graph writes</li><li>Integrate AI web search (Tavily, Perplexity, or similar) as a tool within agentic pipelines for real-time entity enrichment</li><li>Build retrieval-augmented generation (RAG) pipelines over the knowledge graph, translating compliance queries into Cypher and natural language answers</li><li>Implement the graph interrogation layer &mdash; a conversational interface for compliance analysts to query the knowledge graph without writing Cypher</li><li>Manage LLM API integrations (Anthropic Claude, Gemini) including prompt engineering, structured outputs, and cost/latency optimisation</li></ul><p></p><p><b>
Data pipelines and integrations</b></p><ul><li>Build and maintain Python-based data ingestion pipelines reading from Databricks, connecting to external APIs (sanctions lists, corporate registries, Polixis, Vantage), and writing to Neo4j</li><li>Implement NER (named entity recognition) and entity disambiguation logic for extracting structured facts from unstructured compliance documents</li><li>Develop topic modelling pipelines to classify extracted facts as knowledge graph relationship attributes</li><li>Integrate with the .NET backend via well-defined HTTP contracts, ensuring the AI layer is independently deployable and testable</li></ul><p></p><p><b>
Research and technical leadership</b></p><ul><li>Stay current with the fast-moving agentic AI and knowledge graph literature &mdash; evaluate new frameworks, models, and techniques for production applicability</li><li>Contribute to architectural decisions with evidence: benchmarks, prototypes, and documented trade-offs</li><li>Maintain Claude Code context files (CLAUDE.md, SKILLS.md) for the AI codebase, enabling AI-augmented development across the team</li><li>Write clear technical documentation in Notion covering design decisions, data models, and operational runbooks.</li></ul><p></p>
What We&rsquo;re Looking For<p><b>
Must-have</b></p><ul><li>3+ years of professional experience in AI/ML engineering, with at least 1 year working on knowledge graphs or graph-based data systems in production</li><li>Hands-on experience with Neo4j &mdash; data modelling, Cypher query writing, schema design, and performance tuning</li><li>Deep familiarity with LLM APIs (OpenAI, Anthropic, or Gemini) &mdash; prompt engineering, structured outputs, function/tool calling, and cost management</li><li>Understanding the trade-offs between LLMs and smaller fine-tuned models (Hugging Face Transformers, sentence-transformers) &mdash; knowing when a purpose-built model outperforms a prompted general one on cost, latency, and accuracy</li><li>Experience building agentic pipelines &mdash; multi-step LLM workflows with tool use, memory, and state management</li><li>Python proficiency &mdash; you write clean, testable Python and understand async patterns for I/O-bound AI workloads</li><li>Experience with RAG architectures &mdash; vector search, hybrid retrieval, and integrating retrieval into LLM-powered applications</li><li>Ability to read and apply AI research papers &mdash; you can take a paper on narrative extraction or entity disambiguation and turn it into a working prototype</li><li>Strong English communication skills &mdash; written and verbal</li></ul><p></p><p><b>
Strong advantage</b></p><ul><li>Direct experience or knowledge with Graphiti (Zep AI) or other temporal knowledge graph frameworks</li><li>Familiarity with entity resolution and disambiguation techniques at scale</li><li>Experience with NER pipelines, topic modelling, or information extraction from compliance or financial documents</li><li>Knowledge of the third-party risk, sanctions screening, or KYC/AML domain</li><li>Experience with Databricks, Delta Lake, or similar data lakehouse platforms</li><li>Exposure to GCP (Vertex AI, Cloud Run, Pub/Sub, Cloud Storage)</li><li>Experience designing evaluation frameworks for LLM-generated structured outputs</li><li>Prior work in a RegTech, FinTech, or compliance-adjacent environment</li></ul><p></p>
What Good Looks Like in This Role<p><b>
We are direct about what we expect. The person who thrives here will:</b></p><ul><li>Treat the knowledge graph data model as the product&rsquo;s most important artefact &mdash; they think carefully about schema decisions and document them</li><li>Read the literature. When evaluating a new approach to entity disambiguation or graph memory, they check what&rsquo;s been published, not just what&rsquo;s on GitHub</li><li>Write evaluation harnesses before scaling pipelines. They know that a pipeline that produces plausible-looking output is not the same as one that produces correct output</li><li>Communicate blockers and trade-offs early. Technical uncertainty is expected &mdash; silence is not</li></ul></div>

Senior AI Engineer

BUENA

<div><p><b>What Buena Does</b></p>
<p>
Buena (backed by GV) makes everything real estate as simple and transparent as buying an ETF. Whether it&rsquo;s finding, buying, or financing an apartment. We do this by acquiring property managers across Germany and turning them into technology companies.</p>
<p>
Throughout the past 2 years we have become Germany&rsquo;s second-largest property manager. We manage 70,000+ units, across 12 locations, and 30+ acquired companies. The property management market is &euro;15+ billion in Germany, fragmented across 22,000 small firms, and 96% still run on pre-cloud software.</p>
<p>
We&rsquo;re changing that with currently 22 full-time employees in our HQ.</p>
<p><b>
Responsibilities</b></p>
<ul>
<li>Designing, building, and shipping product features end-to-end, from early ideas to rollout and iteration.</li>
<li>Taking ownership of parts of the product and contributing to architectural decisions that shape how our systems evolve.</li>
<li>Improve performance and reliability across our core systems.</li>
<li>Collaborating closely with product and design to translate real-world operational workflows into simple, reliable, AI-enabled software</li>
<li>Help us shape engineering culture as we grow, be it Engineering Practices, Technical Standards or workflow optimisations.</li>
</ul>
<p><b>Requirements</b></p>
<p>
You may be a good fit if you</p>
<ul>
<li>Have shipped and operated production web applications end-to-end, and are comfortable owning features from idea through deployment and iteration.</li>
<li>Are proficient in TypeScript and have strong experience with React and Node.js (or comparable modern full-stack environments).</li>
<li>Are able to independently design, build, and deliver features with minimal guidance, including making pragmatic product and technical decisions.</li>
<li>Understand how modern web systems work in practice, including APIs, frontend state management and backend architecture.</li>
<li>Take ownership seriously: you care about outcomes, move quickly, and are comfortable making decisions in ambiguous situations without waiting for perfect specifications.</li>
</ul>
<p><b>Benefits</b></p>
<p><b>
What You Get</b></p>
<ul>
<li>&euro;80,000&ndash;&euro;120,000 base salary + virtual stock options.</li>
<li>Up to &euro;500 close-to-office bonus, if you decide to live within 10-20 mins walking distance to our office.</li>
<li>&euro;110/month lunch budget, &euro;50 fitness subsidy.</li>
<li>&euro;1,200 yearly education budget.</li>
<li>Buena pays for any book you&rsquo;d like to read.</li>
<li>Worldclass builders around you: Full-time employees at Buena have been self-employed, built early-stage ventures or have been a pro athletes.</li>
</ul>
<p>We&rsquo;re changing how the world&rsquo;s largest asset class works with just 22 full-time employees. Buena is for builders.</p></div>

Senior Software Engineer (m/f/d)

Explore 100+ Senior lead software engineer in Berlin this July. Find roles across top companies and apply now to boost your career.