132 geprüfte KI-Jobs in Berlin
Wie wir sortierenData Scientist - AI & Experimentation (m/f/d)
We re looking for a Data Scientist who treats AI as a working tool, not a buzzword.
Engineer Applied AI Engineering & Full-Stack (m/w/d)
Das verantwortest du: Das Python-Backend, das unsere medizinische Echtzeit-Dokumentation in Produktion antreibt Live-Transkription echter Ar
(Junior) SEO & AI Marketing Manager (m/w/d)
Plant und steuert SEO-Maßnahmen inkl. GEO/AEO, konzipiert automatisierte SEO-Workflows mit KI-Tools und koordiniert internationale Teams.
Data-Scientist (m/w/d) – Künstliche Intelligenz
Du treibst Projekte unermüdlich von der Idee bis zur Umsetzung, um den Vertrieb in der Sparkassen Finanzgruppe zu unterstützen Du setzt KI-T
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Founding Backend Engineer(Go)
Berlin • Cybersecurity & AI Startup • Recently Funded A newly funded cybersecurity startup in Berlin is looking for a Backend Engineer(Go) t
Principal Machine Learning Scientist (alle Geschlechter)
UND VERANTWORTLICHKEITEN Du leitest die Entwicklung, Bewertung und Anwendung von Machine Learning-Algorithmen und Workflows zur Charakterisi
Co-Founder / Founding Engineer for an agentic M&A service start-up based in SF & NYC
Warum dieser Job gelistet ist
KI ist Gegenstand der Rolle (Kernbegriffe in Titel/Anforderungen). Prüfverfahren ansehen
Anforderungen
You have… Open to relocating to San Francisco. We are already in New York and are opening an office in San Francisco. We need you to come west with us!
Communication above all. You will be in rooms with business owners, buyers, and investors, not just in a repo. You can explain tradeoffs to non-technical people, disagree directly without creating friction, and write clearly.
This is the filter we care about most. Early engineer at a startup. You have been one of the first few engineers somewhere and shipped through the messy part.
You know what to build badly on purpose and what to get right the first time. Forward-deployed experience is a strong plus. Strong technical foundation.
You are strong across modern AI/LLM stacks, backend engineering, workflow automation, cloud infrastructure, and system design. Bias to shipping. You have a track record of turning ambiguous problems into shipped product within weeks, not quarters.
High product intuition. You understand users, workflows, and experience design, not just code. Experience with AI-enabled products.
You have worked on automation, agents, LLM products, or adjacent AI-native systems. Obsessive focus on quality, reliability, and safety. You care deeply about getting the important things right, while still optimizing for speed and iteration.
Long-term motivation. You are driven by value creation, product excellence, and equity upside — not titles or corporate engineering culture. High standards.
You thrive among A-players and in environments with intensity, ownership, and direct feedback — not in places built around consensus or politics. We do not need banking experience.
Das wird geboten
Our Commitment to Your Success We are currently engaged in an active funding round with connections to prominent fintech and vertical AI investors. With existing clients and a steady flow of referrals, our product is designed to meet actual market demand rather than speculative hypotheses. You will have the opportunity to collaborate closely with two highly experienced bankers who can provide insights into the rationale behind process structuring.
Additionally, you will have complete autonomy in building and leading your engineering team. Our Values We prioritize impact, efficiency, and trust — not short-term gains and funding rounds. We embrace continuous learning and personal growth.
We build to enjoy the journey together — creating meaningful, high-impact work with exceptional people.
Über das Unternehmen
We - the Stealth Angel Collective - are a collective of experienced entrepreneurs investing our time, capital, and operational expertise to build the next generation of a high-impact ventures. Having scaled companies to hundreds of employees and multiple exits, we provide far more than funding — we work shoulder-to-shoulder with founders to accelerate learning cycles, open doors, and help avoid common early-stage pitfalls. One of the latest companies we are invested in is MaTrx, founded by two bankers from elite Wall Street M&A boutiques who have advised on 50+ transactions between them.
The Company MaTrx is an AI-native investment bank, who advises founders and owners of lower middle market businesses ($1M to $10M EBITDA) on M&A, capital raising, and restructuring, with coverage in life sciences, technology, and financial services. They have closed mandates, live sell-side processes, and paying clients today. This is a Day 1 venture, supported by highly experienced entrepreneuers, industry experts and business angels.
The Opportunity The lower middle market is the largest and worst served segment in M&A. Real banks cannot make the economics work below roughly $50M in enterprise value, so what is left is a long tail of brokers who mostly cannot run a real process. Owners who spent thirty years building something end up with a one page teaser and a buyer list pulled from a directory.
Our thesis is that most of the work is automatable. Sourcing, diligence coordination, buyer identification, materials drafting, and process management absorb the majority of a junior banker s hours and almost none of them require judgment a well-designed system cannot handle. If one banker can run five mandates instead of one, institutional quality advisory becomes viable at deal sizes that have never supported it.
Tasks As Co-Founder / Founding Engineer, you will own the technical build together with the other founders — from architecture to production. You will design, build, and iterate the agent systems that run real mandates, the data layer underneath them, and the security posture required to hold up to institutional diligence. You will: Own the technical direction and architecture of the first product together with the other founders — from prototype to production.
Build the core agent systems and data layer, including company universes, buyer graphs, comps, document ingestion, and workflow context. Translate messy, real-world M&A workflows into powerful, intuitive product experiences, using AI-native tooling, automation, and agent infrastructure. Ship fast while building the right foundations for reliability, security, and institutional-grade diligence.
Work closely with the other founders on product strategy, customer feedback, fundraising, technical diligence, and the early engineering team. This is not a job. It is a founding seat with founding equity.
Interesse an dieser Position?
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Zur OriginalanzeigeKI-Jobs in Berlin
204 geprüfte Stellen bei 134 Arbeitgebern, 24 davon ortsunabhängig. 82 in der KI-Entwicklung, 62 in Integration & Automatisierung.