Entwirft und baut KI-gestützte Workflows mit LLMs und RAG, die Fachbereiche wie Finanzen und Vertrieb automatisieren, und verbindet dafür interne Systeme per API.
Join our growing Roland Berger AI Lab as the technical backbone for designing secure, scalable (Gen)AI systems.
Our customers build the frontier of AI on top of Nebius — training state-of-the-art models, running production inference at scale, shipping
Huawei s Heisenberg Research Center in Munich is responsible for advanced technology research, architectural development, design and strateg
About the Job As a key growth accelerator, A11 partners with Europe’s most ambitious startups and scaleups, corporates and SMBs to connect t
Wir schreiben dir, sobald eine neue geprüfte Stelle dazukommt. Höchstens eine Nachricht am Tag, und nur, wenn es tatsächlich etwas Neues gibt.
Abmelden mit einem Klick, jederzeit. Keine Weitergabe an Dritte.
Ship merged PRs. Add and improve SearchApi support in the frameworks and repos developers actually use.
on this role - Strong professional experience in Python software development - Proven experience building AI-driven or agentic systems, pref
To strengthen our AI for Science (AI4S) team, we are looking for Software Engineers with a track record in developing production-grade, data
Train, test, and ship models that power Peec AI’s recommendations - helping customers boost their visibility in AI search - Develop algorith
Integrate: Embed our foundation models into customer platforms, cloud environments, and ML pipelines.
Executive partnership - Act as the primary technical counterpart to CTOs, VPs of Engineering, and research/engineering leadership.
Entwirft und betreibt GPU-Cluster und Deployment-Pipelines, bringt KI-Modelle in Produktion und überwacht Modell- sowie Infrastrukturleistung.
About Black Forest Labs We’re the team building the foundational layer for visual intelligence: multimodal models trained jointly on images,
Entwickelt Fine-Tuning- und Post-Training-Pipelines sowie Inferenzbeschleunigungsverfahren für große Modelle und optimiert sie auf eigener Hardware.
will include: - Design and deliver end-to-end AI solutions, from proof of concept to production.
This role is foundational data science: building the foundations of tabular foundation models so a single model can solve data-science problems across the board.
As an AI Engineer, with focus on A/ML-Ops, you ll collaborate closely with our product and tech team to bring AI-driven features reliably in
We are seeking a Senior ML Data Processing Developer to participate in the development, curation, and scaling of our core data asset pipeline.
About Mistral Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute.
What we build Most companies find out about supplier insolvencies, cyber attacks, factory fires or floods that affect their supply chain whe
Own and Evolve Our Infrastructure – You take ownership of our AWS and Hetzner environments and evolve them further – everything as Infrastru
Data Scientist DEPT®/AI has a single mission: to make the best work in the industry using AI to enhance everything we do.
Begleitet Kunden von der KI-Strategie bis zur Produktivsetzung, entwirft Architekturen, baut Prototypen und verantwortet Pilotprojekte mit Mistral-Modellen.
Entwirft und deployt KI-Lösungen bei Industriekunden, von der Roadmap bis zur Produktion, inkl. Physik-KI-Pipelines.
As a Senior Software Engineer specializing in the AI & ML ecosystem, you ll be a core contributor owning and evolving critical parts of Clic
Warum dieser Job gelistet ist
KI-Workflows mit LLMs und RAG sind Kernaufgabe und Anforderung, das Arbeitsergebnis ist aber eine automatisierte interne Fachlösung und kein KI-Produkt oder Modell.. Prüfverfahren ansehen
The Product Mindset: You treat internal tools like products. You prioritize ruthlessly and focus on business value over perfect code” or beautiful UI”. - Technical Fluency: You are proficient in Python, n8n, and API architecture. You have hands-on experience with RAG and connecting LLMs to proprietary data sources. - Applied AI Focus: You prefer building “Reasoning Chains” and integrating existing tools over training custom models. - Systems Thinker: You see the company as a series of interconnected data flows.
You naturally see patterns and build modular solutions that scale across teams. - Change Agent: You have experience driving organizational change and can explain complex technical concepts to non-technical stakeholders with ease. - Pragmatic Innovator: You would rather ship a working automation in two weeks than a perfect one in six months, and you have the commercial sense to block non-feasible requests. Why us - Applied AI, Not R&D: You won’t spend months training models that never go live. You’ll leverage the modern stack (LLMs, Vector DBs, n8n) to ship high-impact automations that solve real business problems immediately. - Uncapped Leverage: Construction is one of the last undigitized global industries.
We aren t optimizing ad-clicks; we are building the digital nervous system for the physical world. Your efficiency gains here have a massive multiplier effect. - Strategic Ownership: You aren’t hidden in a silo. Collaborating directly with different team leads in the company, you have the autonomy to identify bottlenecks and build the infrastructure that allows Cosuno to scale.
Cosuno – Revolutionizing construction through technology. We are Cosuno – a fast-growing tech startup that is making the construction industry more efficient and transparent with our digital platform for tenders and procurement processes. Our goal: to solve the most complex challenges in the industry with innovation and simplicity.
Why Cosuno? Artificial intelligence is the key to our solution: it analyzes millions of price data points and helps construction companies create precise and efficient bids. This not only saves our customers time but also helps them avoid unnecessary costs.
But for us, it s not just about technology – it s about the people who drive it. At Cosuno, you will work with creative minds who are reshaping the construction industry. We believe in diversity because we know that the best ideas come from different perspectives.
An integrative and inclusive work environment is a matter of course for us. Join us – Build the future of construction.
Your mission As our AI Automation Engineer, you will be the driving force behind scaling efficiency at Cosuno. As the expert for Cosuno’s automation stack, you will partner with teams across the company to identify, design, and implement AI-driven workflows that transform their work. Rather than building or training proprietary models from scratch, you will leverage state-of-the-art existing models and reasoning chains to solve business problems.
As part of the product team, you will collaborate closely with the CEO & CTO to ensure all solutions are technically sound and aligned with our core infrastructure. This is an execution-heavy role where success is measured by the speed and reliability of the modular automation platform you build. Key responsibilities - Discovery & Prioritization: Partner with Finance, Sales, Ops & Product to identify high-ROI automation opportunities & evaluate them based on business impact versus technical effort. - Workflow Engineering: Design, prototype, and deploy end-to-end AI workflows by building our orchestration stack (e.g., n8n, Vector Databases) and connecting various endpoints via APIs to build a universal memory for Cosuno. - Scaling & Modularity: Build solutions that are modular and reusable across different departments to avoid reinventing the wheel for every new request. - Enablement & Governance: Establish AI guardrails, while enabling AI champions in other departments to work with the automations themselves. - Monitoring & Optimization: Define and track success metrics (ROI, time saved, reliability) to ensure automations deliver continuous value.
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