ai engineer (m/f/d)

ai engineer

director of engineering (m/f/d) Jobs in Berlin

director of engineering (m/f/d)

engineering manager

engineering manager (all genders) Jobs in Berlin

engineering manager (all genders)

director of engineering

Staffbase

<div><div><h3 class="jobSectionHeader">About Staffbase</h3>

We inspire people to achieve great things together. Our mission is to help organizations unlock the power of inspirational communication with the first AI-native Employee Experience Platform. Our industry-leading and award-winning agentic AI communications channels - intranet, employee app and email solutions - create engaging experiences that connect and empower employees.

Headquartered in Chemnitz, Germany and New York City, with offices in Berlin, London, Sydney, Tokyo, Prague, and Minneapolis&ndash;St. Paul, our diverse team of 750+ employees supports 2,000+ customers&mdash;reaching over 16.4 million employees&mdash;in transforming their employee experience. 
We are proud to be a Unicorn company&mdash;privately valued at over $1 billion&mdash;demonstrating strong growth, innovation, and lasting impact in our industry. Together, we're shaping the future of workplace communication.</div>
Engineering Manager &ndash; Data &amp; Analytics

As Engineering Manager for our Data &amp; Analytics team, you will lead a team of 4-5 engineers while staying meaningfully hands-on as a technical player-coach. This is not a traditional management role. You are someone with a strong and senior data engineering background who genuinely wants to step into management. You will own the team's delivery, drive stakeholder alignment, and bring the technical depth needed to develop your team and keep us on the right track.

You will work closely with the Director of Engineering and product stakeholders, on sequencing, prioritization, and roadmap negotiation &mdash; with enough technical grounding to make sound decisions and mentor engineers day to day.

Our environment
<ul>
<li>Data operates on two fronts: maintaining and evolving a self-service data platform, and delivering as a product team</li>
<li>While the overall architecture direction is established for the near term, you'll shape the details and influence the technical direction as the roadmap extends into 2027 and beyond.</li>
<li>You are the voice on data. Driving delivery and managing the interfaces with the broader staff engineering community available to support on high-level architectural input.</li>
<li>Data governance for AI agents is an emerging and fast-growing priority &mdash; a technically exciting area we're starting to build into</li>
</ul>
What you'll be doing
<ul>
<li>Lead and develop a team of 4-5 engineers: coaching, unblocking delivery, and building a product-minded data engineering culture</li>
<li>Own the team's roadmap sequencing. Negotiating priorities with product stakeholders, pushing back where needed, and finding constructive compromises</li>
<li>Mediate between platform and product demands: the team operates across data platform and product delivery simultaneously, and you will balance both</li>
<li>Bring hands-on experience in Data streaming to guide the team through an active transition</li>
<li>Raise the bar on data modeling across the team</li>
<li>Drive the cultural and technical shift toward distributed data ownership, helping product teams progressively own their own data</li>
<li>With your extensive Data Engineering experience you will collaborate with the broader staff engineering community on cross-cutting architectural decisions where needed</li>
<li>Build the foundations for AI data governance &mdash; as agentic analytics becomes customer-facing, you will need to think through guardrails, access control, and safety for AI agents interacting with data</li>
</ul>
What you need to be successful
<ul>
<li>Proven experience at Staff Engineer level (or equivalent) in a data engineering context. You have been deep in the technical work and now want to lead people</li>
<li>A genuine player-coach mindset</li>
<li>Strong stakeholder management skills. You thrive in negotiation, can push back confidently, and know how to reach workable compromises with product teams</li>
<li>Solid data modeling skills and the credibility to make it a team-wide standard</li>
<li>Experience managing or developing engineers. Coaching technical fundamentals and growing product thinking</li>
<li>Strong communication skills and the ability to drive a cultural shift toward distributed, self-service data ownership</li>
<li>Comfort operating across both platform and product delivery contexts</li>
</ul>
Nice to have
<ul>
<li>Experience with data governance for AI agents &mdash; guardrails, access control, and safety considerations for agentic analytics</li>
<li>Familiarity with data lakes, semantic layers, and orchestration tooling at scale</li>
<li>Experience in a product-led B2B SaaS environment</li>
<li>Hands-on streaming experience (e.g. Kafka or Flink)</li>
</ul>
What you'll get
<ul>
<li>Competitive Compensation - we offer attractive salary packages including LTIP (unit-based Long Term Incentive Plan)</li>
<li>Flexibility - we offer flexible working time models and the option of hybrid work, and support this with a yearly flex work allowance of &euro;1560</li>
<li>Recharge - with 31 vacation days annually (incl. one floating holiday), plus pro rata fully paid Fridays off during August</li>
<li>Support - we offer offering a company pension scheme</li>
<li>Volunteers Day - you'll get one day off per year for supporting a social project</li></ul></div><div></div>

Engineering Manager, Data & Analytics

SPREAD GmbH

<div><h4 class="jobSectionHeader">Short Description</h4>
SPREAD builds engineering intelligence for the world's most complex products. Our AI-native platform gives automotive OEMs, defense primes, and industrial manufacturers a single source of product truth so engineering teams can make confident product decisions, fast. We work with companies like Volkswagen, BMW, Mercedes, Bosch, Stadler, and Rheinmetall. Backed by HV Capital, DTCP, La Famiglia / General Catalyst, and Salesforce. 
 
In this role, you own how SPREAD is positioned, messaged, and understood by engineering leaders at enterprise accounts. You translate a deeply technical product into narratives that win deals, arm Sales with competitive intelligence and enablement assets, and partner with Product and Engineering on go-to-market. This is a hands-on role in a small, senior marketing team alongside Growth, GTM Ops, and Design.<h4 class="jobSectionHeader"> 
Your Mission</h4><ul><li>
Own positioning and messaging for SPREAD's platform, turning engineering intelligence into value propositions that land with top engineering leaders.</li><li>
Build and maintain competitive intelligence across the PLM and engineering data landscape and turn it into battle cards and objection-handling guides that Sales uses daily.</li><li>
Create sales enablement assets that shorten enterprise sales cycles and improve win rates.</li><li>
Partner with Product and Engineering on go-to-market for product releases, connecting every launch to a measurable customer outcome.</li><li>
Develop thought leadership content that builds credibility with deeply technical audiences.</li><li>
Partner with Growth and GTM Ops on campaign messaging and account targeting so demand gen speaks the right language to the right pain points.</li><li>
Represent SPREAD at industry events and customer conversations where engineering leaders expect a peer-level discussion about their domain.</li></ul><h4 class="jobSectionHeader">
Your Experience
</h4><ul><li>5+ years in B2B product marketing or technical product management for enterprise software or complex technical products, with hands-on ownership of positioning, messaging, and go-to-market.</li><li>
Technical fluency through an engineering or technical degree, or through deep experience managing or marketing highly technical products. You can hold a credible conversation about data architectures, PLM tool landscapes, or software-defined product development.</li><li>
Experience building sales enablement for complex enterprise deals (&euro;100K+ ACV, 6-12-month cycles, multi-stakeholder buying committees).</li><li>
Strong competitive intelligence instinct. You track competitors, articulate differentiation in the buyer's language, and prepare sales teams for live objection handling.</li><li>
AI-native working style. You use AI tools daily to scale your output, from content creation to research to workflow automation. SPREAD is an AI-first company, and every team member operates accordingly.</li><li>
Identity as a product marketer. You partner with Product and Engineering, you speak their language, but your craft is marketing, not roadmaps or feature specs.</li><li>
Native or near-native English. Working-level German minimum. If German is your native language, strong English is sufficient.</li><li>
Based in Berlin or close enough for regular in-office collaboration, especially during the first months.</li></ul><h4 class="jobSectionHeader">
Why SPREAD?</h4><ul><li>
Work on Agentic Engineering Intelligence that helps leading manufacturers master software-defined complexity. You market technology that engineering leaders genuinely care about.</li><li>
High ownership and measurable impact. You connect your positioning directly to deal outcomes and pipeline.</li><li>
A senior team that values craft, speed, and accountability over process and hierarchy.</li><li>
Strong overall package including attractive compensation and an annual learning budget.</li><li>
Mobility and wellbeing support through a Deutschlandticket mobility budget, bike-leasing and an Urban Sports partnership.</li><li>
Time off and flexibility with 30 vacation days, workation options, and one paid volunteering day per year.</li></ul><h4 class="jobSectionHeader">
Contact</h4>
Dmytro İefymenko 
recruiting@spread.ai 
 
SPREAD AI 
K&ouml;penicker Str. 40c | 10179 Berlin 
 
Stay connected&mdash;follow us on LinkedIn for the latest insights and updates<h4 class="jobSectionHeader">
About us</h4>
SPREAD is pioneering Agentic Engineering Intelligence. Our low-code platform transforms fragmented hardware and software product data into dynamic Product Twins, creating an AI-ready knowledge base that powers smarter decisions and automation across the entire product lifecycle. 
At the heart of our technology lies the world&rsquo;s first Universal Engineering Information Model (EIN) &mdash; a semantic framework that connects domain-specific and lifecycle data into a federated Engineering Intelligence Graph, continuously evolving over time. This foundation enables specialized AI agents to execute tasks like compliance checks, dependency analysis, and specification generation &mdash; seamlessly integrated into the tools engineers already use. 
The impact is tangible: companies using SPREAD achieve up to 10x faster time-to-market, 50% lower lifecycle costs, and significantly higher product quality. 
Industry leaders such as Volkswagen, Mercedes-Benz, BMW, Audi, Rheinmetall, and others rely on SPREAD to build the next generation of software-defined products. 
Headquartered in Berlin, SPREAD delivers enterprise-grade security (ISO 27001 &amp; TISAX), full GDPR compliance, and flexible deployment options &mdash; in the cloud or on-premises. 
 
Our Vision 
The future of engineering is data-driven and agentic. We make product data the most accessible, intuitive, and impactful resource in engineering &mdash; so that engineers can unleash their full creativity and drive innovation at scale.</div>

Senior Product Marketing Manager (f/m/d)

Mercor

<div>
 
 About The Job
 
 
 
 
 Mercor
 
 connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include
 
 Benchmark
 
 ,
 
 General Catalyst
 
 ,
 
 Peter Thiel
 
 ,
 
 Adam D'Angelo
 
 ,
 
 Larry Summers
 
 , and
 
 Jack Dorsey
 
 .
 
 
 
 Position:
 
 Fraud Engineer (Coding Agent Experience)
 
 
 
 Type:
 
 
 Contract
 
 
 
 
 Compensation:
 
 
 $80/hour
 
 
 
 
 Location:
 
 
 Remote
 
 
 
 
 Role Responsibilities
 
 
 
 <ul>
 <li>
 Use frontier AI coding agents to complete and evaluate complex fraud and risk engineering tasks.
 </li>
 <li>
 Review model-generated implementations involving fraud detection systems, risk scoring models, abuse prevention tooling, and transaction monitoring systems.
 </li>
 <li>
 Identify bugs, edge cases, and failure modes to enhance model robustness.
 </li>
 <li>
 Compare outputs from multiple frontier models and assess their strengths and weaknesses.
 </li>
 <li>
 Apply professional engineering judgment to realistic fraud and risk engineering scenarios.
 
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 
 Must-Have
 
 
 
 <ul>
 <li>
 2+ years of professional experience in fraud engineering, risk engineering, trust &amp; safety, or related domains.
 </li>
 <li>
 Experience building fraud detection systems, risk scoring models, abuse prevention tooling, or transaction monitoring systems.
 </li>
 <li>
 Regular use of AI coding agents such as Cursor, Claude Code, Codex, Windsurf, Gemini CLI, or similar tools.
 </li>
 <li>
 Ability to evaluate model-generated solutions in fraud, risk, and trust &amp; safety contexts.
 
 
 
 </li>
 </ul>
 
 Preferred
 
 
 
 <ul>
 <li>
 Experience in fintech, payments, marketplaces, or large-scale consumer platforms.
 
 
 
 </li>
 </ul>
 
 Compensation &amp; Legal
 
 
 
 <ul>
 <li>
 $400 per accepted task
 </li>
 <li>
 Compensation is tied to accepted work.
 
 
 
 </li>
 </ul>
 
 Application Process (Takes 20&ndash;30 mins to complete)
 
 
 
 <ul>
 <li>
 Upload resume
 </li>
 <li>
 AI interview based on your resume
 </li>
 <li>
 Submit form
 
 
 
 </li>
 </ul>
 
 Resources &amp; Support
 
 
 
 <ul>
 <li>
 For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome
 </li>
 <li>
 For any help or support, reach out to: support@mercor.com
 
 
 
 </li>
 </ul>
 
 PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.
 
</div>

Fraud Engineer - AI Specialist

Adsquare

<div>
 
 
 
 About the Company
 
 
 
 
 
 
 
 
 
 At Adsquare, our mission is driven by our core focus:
 
 
 
 
 
 
 
 <ul>
 <li>
 
 Passion
 
 &ndash; Solving complex challenges with great people, tech, and data.
 </li>
 <li>
 
 Niche
 
 &ndash; Location Intelligence for Programmatic Advertisers.
 </li>
 </ul>
 
 
 
 
 
 
 
 Our core values are integral to everything we do:
 
 
 
 
 
 
 
 <ul>
 <li>
 
 Drive
 
 : We turn ambition into action to deliver valuable outcomes.
 </li>
 <li>
 
 Resilience
 
 : We adapt, persevere, and grow stronger.
 </li>
 <li>
 
 No BS
 
 : We value honesty, transparency, and clear communication.
 </li>
 <li>
 
 Humble
 
 : We choose modesty over vanity and let results speak for themselves.
 </li>
 <li>
 
 Moral Compass
 
 : We do the right thing with fairness, integrity, and respect.
 </li>
 </ul>
 
 
 
 
 
 
 
 We seek candidates who not only bring top-tier technical expertise but also embody these values in every aspect of their work.
 
 
 
 
 
 
 
 
 
 About the Role
 
 
 
 
 
 
 
 
 
 As a (Senior) Data Engineer at Adsquare, you will be a key contributor to our core engineering function, creating and maintaining scalable big data pipelines that power our applications and drive business value. Because our engineering department handles a variety of critical data challenges, you will be assigned to a specific cross-functional squad based on your individual strengths, experience, and current business needs.
 
 
 
 
 
 
 
 
 
 Responsibilities
 
 
 
 
 
 
 
 
 <ul>
 <li>
 
 Data Pipeline Ownership
 
 : Take full accountability for the pipeline lifecycle&mdash;from raw data ingestion to transformation and external delivery&mdash;according to defined SLAs, time, and budget.
 </li>
 <li>
 
 Architect Scalable Solutions
 
 : Design and build robust data architectures required to process and transfer terabytes of data.
 </li>
 <li>
 
 Pipeline Optimization
 
 : Continuously improve data pipelines for cost and performance. This includes analyzing query plans, optimizing compute and working memory, and strategically applying horizontal or vertical scaling.
 </li>
 <li>
 
 Engineering Rigor
 
 : Elevate data engineering standards. Implement CI/CD workflows, infrastructure-as-code, test-driven development (TDD), and automated testing to ensure reliable and maintainable code.
 </li>
 <li>
 
 Data Monitoring
 
 : Create and maintain live monitoring dashboards to ensure data solutions are healthy and to support strategic decision-making.
 </li>
 <li>
 
 Collaboration &amp; Mentorship
 
 : Bridge the gap between Data and Backend engineering. For Senior applicants, act as a technical leader by mentoring junior team members, conducting code reviews, and introducing best practices.
 </li>
 </ul>
 
 
 
 
 
 
 
 
 Qualifications
 
 
 
 
 
 
 
 
 
 We are looking for a candidate with varying levels of experience (mid-level to senior, typically 3-6+ years) in Data Engineering or Backend Development with a heavy data focus. You must be comfortable working in a self-organized, agile environment.
 
 
 
 
 
 
 
 
 
 Required Skills
 
 
 
 
 
 
 
 
 <ul>
 <li>
 
 Programming Mastery
 
 : Very strong proficiency in Python and SQL. You write modular, production-ready code and possess a solid understanding of both Functional Programming and Object-Oriented Programming (OOP) principles.
 </li>
 <li>
 
 Big Data &amp; PySpark
 
 : Deep experience with large-scale data processing frameworks, specifically Apache Spark / PySpark. You understand how to handle TB-scale datasets efficiently. Deep understanding of big data file formats like parquet and avro. Experience with open Lakehouse formats like Iceberg.
 </li>
 <li>
 
 Advanced Optimization Skills
 
 : Proven experience in optimizing data pipelines for compute, working memory, and cost efficiency, including reading and analyzing complex query plans/profiles.
 </li>
 <li>
 
 Database &amp; Storage Architecture
 
 : Expertise in the trade-offs between OLAP and OLTP systems. You have built solutions using relational and non-relational (NoSQL) databases, and horizontally scalable data warehouses/lakehouses (e.g., Redshift, Snowflake, StarRocks).
 </li>
 <li>
 
 Cloud Native (AWS)
 
 : Experience architecting solutions within the AWS ecosystem (e.g., S3, Athena, Glue, EMR, Lambda, Batch).
 </li>
 <li>
 
 Infrastructure &amp; Orchestration
 
 : Production experience treating infrastructure as software using Terraform, alongside experience with orchestration tools like Airflow, dbt, or Step Functions.
 </li>
 <li>
 
 Engineering Fundamentals
 
 : Solid grasp of computer science principles, data structures, algorithms, and git-flow/CI/CD pipelines.
 </li>
 <li>
 
 AI tools
 
 : Good command of using AI tools (e.g. Claude Code, Kiro, Gemini Pro) to improve and refactor your code, increase your productivity and quality and performance of your code.
 </li>
 </ul>
 
 
 
 
 
 
 
 
 Preferred Skills
 
 
 
 
 
 
 
 
 <ul>
 <li>
 
 Compiled Languages
 
 : Experience with a compiled or strongly typed language (e.g., Java, Scala, Go, Kotlin, C++, Cython).
 </li>
 <li>
 
 Geospatial Data
 
 : Experience working with GIS (Geographic Information Systems) and geo-spatial datasets.
 </li>
 <li>
 
 Data Formats
 
 : Expertise in optimizing file formats (Parquet, Avro, Iceberg) for performance.
 </li>
 <li>
 
 Streaming Technologies
 
 : Familiarity with Kafka and Flink.
 </li>
 <li>
 
 Backend Context
 
 : Experience working closely with Backend engineers or familiarity with Backend architectural patterns (microservices, API design).
 </li>
 </ul>
 
 
 
 
 
 
 
 
 Pay range and compensation package
 
 
 
 
 
 
 55,000 - 65,000 euros per year
 
 
 
 
 
 On top of a competitive package, we offer:
 
 
 
 
 
 
 
 <ul>
 <li>
 Hybrid work model + remote work from anywhere worldwide up to 3 months/year
 </li>
 <li>
 Individual yearly learning budget of 1,200&euro;
 </li>
 <li>
 30 vacation days per year
 </li>
 <li>
 Urban Sports Club membership
 </li>
 <li>
 Company pension scheme
 </li>
 <li>
 Regular team and company events
 </li>
 <li>
 Latest hardware and all tools you need to thrive
 </li>
 </ul>
 
 
 
 
 
 
 
 
 Equal Opportunity Statement
 
 
 
 
 
 
 
 
 
 We are committed to diversity and inclusivity.
 
 
 
 
 
 
 
 
 Apply now!
 
 
 
 
</div>

Data Engineer (m/f/d)

CompuGroup Medical

<div><div><div>Als f&uuml;hrendes Unternehmen im Bereich Softwarel&ouml;sungen f&uuml;r das Gesundheitswesen sind wir in 19 L&auml;ndern t&auml;tig und besch&auml;ftigen &uuml;ber 9.000 engagierte Mitarbeitende. Du wirst in einem dynamischen und innovativen Umfeld arbeiten, das voller M&ouml;glichkeiten steckt. Mit Deinem Einsatz und Deiner Leidenschaft hast Du die Gelegenheit, einen nachhaltigen Unterschied zu machen.
</div></div><div><div><div><div><div><div><div><div><div>CGM Leverages AI: Wir suchen Menschen, die die Kraft von KI im E-Health-Umfeld sp&uuml;ren, den Wandel mitgestalten wollen und mit neugieriger Leidenschaft erkennen, wie Technologie Gesundheit smarter, einfacher und besser machen kann.
Gemeinsam gestalten wir das Gesundheitssystem der Zukunft. Werde Teil unserer Mission und mache den Unterschied &ndash; f&uuml;r eine Welt, in der Wissen Leben rettet!
Dein Beitrag:
<ul><li>Du konzipierst, entwickelst und betreibst moderne Webanwendungen &uuml;ber unser SaaS-Portfolio hinweg (Praxis, Agentic AI, ifap, Therafox, Intermedix u. a.) und arbeitest souver&auml;n &uuml;ber Frontend, Backend und DevOps-Layer hinweg.</li><li>
Du integrierst AI-native Features und agentische Experiences in unsere Produkte, nutzt LLMs, Retrieval, Tool-Use und strukturierte Workflows und schaffst so echten Mehrwert f&uuml;r &Auml;rzt:innen, Praxisteams und Patient:innen.</li><li>
Du designst, entwickelst und betreibst Cloud-native Services mit Fokus auf Zuverl&auml;ssigkeit, Sicherheit und Developer Productivity und baust gemeinsam mit dem Team Shared Agents, Skills, Pipelines und Harnesses kontinuierlich aus.</li><li>
Du arbeitest eng mit Product Management, UX, Architektur und Engineering zusammen, hebst die Engineering- und AI-Engineering-Qualit&auml;t im Team aktiv an und pr&auml;gst Best Practices f&uuml;r agentische Anwendungen.</li><li>
Du bleibst nah an den Nutzerinnen und Nutzern, verstehst Healthcare-Workflows und bringst ein unternehmerisches, outcome-getriebenes Mindset in die Feature-Entwicklung ein.</li></ul>
Das bringst Du mit:
<ul><li>Mehrj&auml;hrige Senior-Erfahrung im Full-Stack-Engineering moderner Webanwendungen mit tiefem Know-how in mindestens einem Frontend-Stack (React oder Angular) und einem Backend-Stack (Java/Spring Boot oder Python), idealerweise mit End-to-End-Verantwortung im Produktkontext.</li><li>
Abgeschlossenes Hochschulstudium (Master oder Promotion) in Informatik, Software Engineering oder einem vergleichbaren technischen Studiengang mit &uuml;berdurchschnittlichen Leistungen.</li><li>
Fundierte Praxis mit unseren Kerntechnologien wie React/Angular, Java Spring Boot, Python, C#, Kafka, Terraform sowie Cloud-/DevOps-Umgebungen (Kubernetes, Helm, ArgoCD); Erfahrung mit LLM-Tools wie Azure OpenAI, Anthropic SDK oder MCP ist ein starkes Plus.</li><li>
Nachweislich effektiver Einsatz von AI im Software-Engineering, idealerweise inklusive Claude Code oder vergleichbaren agentischen Coding-Tools (Agents, Skills, Workflows) sowie Erfahrung im Design von AI-Pipelines, Harnesses und Context Engineering.</li><li>
Verhandlungssicheres Deutsch und flie&szlig;endes Englisch in Wort und Schrift, ausgepr&auml;gte Probleml&ouml;sungsst&auml;rke, Innovationsfreude, hohe Proaktivit&auml;t, sehr gute Zusammenarbeit mit Product Management und ein klares Alignment mit unserem Healthcare-Purpose und einem unternehmerischen Mindset.</li></ul>
Das kannst Du von uns erwarten:
<ul><li>Mobile Work: Arbeite flexibel an zwei Tagen pro Woche mobil und an 3 Tagen vor Ort.</li><li>
Attraktive Standorte: An unseren Standorten erwarten Dich neben voll ausgestatteten Arbeitspl&auml;tzen auch regelm&auml;&szlig;ige Events wie Sommerfeste und Weihnachtsfeiern.</li><li>
Entwicklung: Unsere Inhouse-Academy und unser Portfolio aus externen Kooperationspartnern unterst&uuml;tzen Dich in Deiner Weiterentwicklung.</li><li>
Gesundheit: Gesundheit ist f&uuml;r uns ein hohes Gut. In der hauseigenen Kantine gibt es jeden Tag eine Auswahl an leckeren und gesunden Gerichten und in unserem voll ausgestatteten Fitnessstudio hei&szlig;en wir Dich in w&ouml;chentlichen Kursen gerne willkommen.</li><li>
Mehr geht immer: Der Kindergarten auf unserem CGM-Campus in Koblenz unterst&uuml;tzt unsere Mitarbeitenden dabei, ihren Arbeitsalltag noch flexibler zu gestalten. Wir halten au&szlig;erdem Corporate Benefits, die M&ouml;glichkeit eines Jobrads, BAV u. v. m. f&uuml;r Dich bereit.</li></ul>
Vielfalt ist Teil von CGM! Wir freuen uns unabh&auml;ngig von Behinderung, Geschlecht, Nationalit&auml;t, ethnischer und sozialer Herkunft, Religion, Alter sowie sexueller Orientierung und Identit&auml;t auf Deine Bewerbung.
&Uuml;berzeugt? Bewirb Dich jetzt online mit Deinen aussagekr&auml;ftigen Bewerbungsunterlagen (inkl. Deiner Zeugnisse, Gehaltsvorstellung und n&auml;chstm&ouml;glichem Eintrittstermin).</div></div></div></div></div></div></div></div></div></div>

Senior AI Software Engineer (m/w/d)

CLERA

<div><h3 class="jobSectionHeader">About the Role</h3>
Join a lean, high-impact engineering team at a Series A PropTech startup building agentic AI systems that observe, decide, and act on real-world property operations &mdash; with humans in the loop. This is a full-stack, end-to-end ownership role: you'll modernize legacy systems, design autonomous workflows, and turn messy operational processes into clean, production-ready software. If you thrive in small teams, think like a founder, and want your work to matter immediately, this role is for you.<h3 class="jobSectionHeader">
What You'll Do</h3><ul><li>
Own features end-to-end, learning the business deeply enough to drive solutions independently.</li><li>
Design and build agentic AI workflows for guest communication (chat and voice), operational decisions, and property management tasks.</li><li>
Modernize legacy systems and redesign data structures to meet evolving product requirements.</li><li>
Shadow real operational workflows to uncover inefficiencies, workarounds, and hidden steps &mdash; then turn them into reliable software.</li><li>
Scope, ship, and iterate on problems rather than just working through a ticket queue.</li><li>
Collaborate closely with internal teams to align product and engineering direction.</li><li>
Operate with high agency and ownership, delivering results rapidly and safely.</li></ul><h3 class="jobSectionHeader">
What We're Looking For</h3>
Required:<ul><li>
Demonstrable engineering experience you can showcase during the hiring process.</li><li>
Strong proficiency in TypeScript and React for full-stack development.</li><li>
Fluent spoken and written English with excellent communication skills &mdash; including asking the right questions to unblock work.</li><li>
Proven track record of shipping quickly while exercising sound judgment about acceptable trade-offs.</li><li>
Ability to self-manage: plan work, communicate progress, and flag blockers proactively.</li><li>
Comfort working in an agentic engineering style (e.g., running multiple AI coding agents and terminals in parallel).</li><li>
Familiarity with Express, PostgreSQL, MongoDB, and AWS; experience with Linear and Notion for tracking and documentation.</li><li>
Strong product taste &mdash; attention to user experience down to messaging and interaction wording.</li><li>
Willingness to relocate to Berlin, Germany and work from the office regularly.</li><li>
Eligibility to work in Germany without visa sponsorship (sponsorship is not available).</li></ul>
Nice to Have:<ul><li>
Experience with agentic AI or AI agent systems.</li><li>
Prior startup experience or a founder mentality.</li><li>
Background in hospitality or PropTech domains.</li><li>
Strong product sense and product-minded approach to engineering.</li></ul><h3 class="jobSectionHeader">
Compensation &amp; Benefits</h3><ul><li>
Salary: $90,000 &ndash; $110,000 USD annually</li><li>
Small, accountable team focused on outcomes over meetings</li><li>
High-impact work in a fast-growing AI-native platform</li><li>
On-site role in Berlin with a collaborative, startup environment</li></ul><h3 class="jobSectionHeader">
Location</h3>
This is an on-site role based in Berlin, Germany. Candidates must be willing to relocate to Berlin and work from the office regularly. Visa sponsorship is not available &mdash; candidates must already be eligible to work in Germany.</div>

Product Engineer (Full-Stack / Agentic AI)

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.
 
 
 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.
 
 
 Our vision: power Europe&rsquo;s transition to a fully decentralized, intelligent, and clean energy system.
 
 
 
 Job Description
 
 
 
 As a
 
 Senior AI Platform Engineer
 
 , 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.
 
 
 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.
 
 
 What you will do
 
 
 <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>
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 Collaborate closely with product and engineering teams to enable fast, safe, and deterministic AI feature delivery.
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 Own CI/CD pipelines, infrastructure as code, and production readiness of AI systems.
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 Continuously improve performance, reliability, and cost efficiency.
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 Contribute to architectural decisions shaping the long-term AI strategy.
 
 
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 </ul>
 
 Qualifications
 
 
 
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 5&ndash;7+ years of software engineering experience (mid to senior level).
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 Strong background in backend systems, platform engineering, or internal developer platforms.
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 Strong proficiency in TypeScript and Node.js (JavaScript ecosystem).
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 Solid understanding of modern AI system design, including agentic architectures vs. chains, tool use and function calling, and orchestration patterns.
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 Experience in LLM APIs (e.g. OpenAI, Anthropic, DeepSeek) and AI infrastructure.
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 Experience building observability, logging, tracing, and evaluation systems.
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 Strong focus on reliability, determinism, and production-grade engineering.
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 Experience building APIs and integrating complex systems.
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 Familiarity with CI/CD tools (GitHub Actions, Azure DevOps, or similar).
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 Strong commitment to clean, testable, and scalable code.
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 (Senior level) Experience mentoring engineers and driving technical decisions.
 
 
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 Additional Information
 
 
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 Join Germany&rsquo;s leading green unicorn and help shape the energy transition.
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 Work in a diverse team of 65+ nationalities united by one mission.
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 Hybrid work model: office or remote &mdash; your choice.
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 Our Berlin HQ offers a fully equipped startup environment (rooftop, gym, lounges, events).
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 Structured onboarding, including a welcome session with our founder.
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 Regular company updates, technical deep dives, and knowledge sharing sessions.
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 Strong team culture, ownership mindset, and frequent team events.
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 A strong feedback culture that values continuous improvement.
 
 
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 At Enpal, diversity and inclusion are core values. Hiring decisions are made without discrimination of any kind.
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AI Platform Engineer (f/m/d)

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