Senior AI Engineer (all genders)
GeneralMindBerlin
We are looking for a Senior AI Engineer who treats LLMs as production software, not as magic.
Integration
Large Language ModelsAgentic AINLPPrompt Engineering
vor 2 Wochen
99 geprüfte KI-Jobs in Integration & Automatisierung
Wie wir sortierenAI Engineer for Generative AI (all genders)
AccentureWien
YOU ARE As a hands on AI Engineer, you will be at the heart of designing and building the components that make up advanced AI systems poweri
Integration48.100 bis 48.100 € / JahrVollzeit
Generative AILarge Language ModelsRAGMachine LearningDeep Learning
vor 2 Wochen
Lead Principal Engineer Agentic Software Development and Verification (f/m/div)
InfineonMünchen
Entwickelt selbstkorrigierende Agenten-Schleifen für KI-generierten Embedded-Code und definiert deren Verifikationsstrategie inkl. CI und Traceability.
IntegrationVollzeit
Agentic AIData ScienceAgentic WorkflowsVerifikation KI-generierter SoftwareEmbedded Software
vor 2 Wochen
Fullstack Entwickler TypeScript – Node.js / Angular, KI-Integration (m/w/d)
Rockstardevelopers GmbHBerlin
Du arbeitest in Kundenprojekten bei großen Unternehmen und öffentlichen Auftraggebern, eingebettet in deren Teams, mit voller Verantwortung für deinen Bereich.
Integration
RAGLarge Language ModelsCopilotClaude
vor 2 Wochen
Fullstack Entwickler Java / Angular (m/w/d) – Mid-Level
Rockstardevelopers GmbHBerlin
Du arbeitest in Kundenprojekten bei großen Unternehmen und öffentlichen Auftraggebern, eingebettet in deren Teams.
Integration
Large Language ModelsRAGCopilotClaudeClaude Code
vor 2 Wochen
Neue Jobs per E-Mail
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.
Senior Fullstack Entwickler Java / Angular (m/w/d)
Rockstardevelopers GmbHBerlin
Du arbeitest in Kundenprojekten bei großen Unternehmen und öffentlichen Auftraggebern, eingebettet in deren Teams, mit voller Verantwortung für deinen Bereich.
Integration
Large Language ModelsRAGCopilotClaudeClaude Code
vor 2 Wochen
Senior Software Engineer | Agentic Engineering
Insurgo GmbHBerlin
Entwickelt die SaaS-Plattform von Backend bis Frontend, zerlegt Aufgaben für Coding-Agenten, sichert Qualität per Review und entwickelt den Insurgo Agent weiter.
Integration50 bis 50 €
Agentic AICopilotClaudeZapierRuby on Rails
vor 2 Wochen
KI-Expert:in (m/w/d)
Kufer Software GmbHMühldorf am Inn
KI-Funktionen direkt in unsere Produkte integrieren: Chat- und Assistenzfunktionen, generative Modelle sowie Automatisierung auf Basis von K
Integration
RAGGenerative AINLPPrompt EngineeringKI-Lösungen
vor 2 Wochen
AI Engineer
ICON plcFrankfurt am Main
You will take responsibility for clinical data science deliverables, applying your skills to ensure quality and efficiency.
IntegrationVollzeit
Large Language ModelsRAGGenerative AIAgentic AIData Science
vor 2 Wochen
Agentic Software Engineer 80-100%
YOO AGBasel
Entwickelt Kundensoftware, setzt Coding Agents und LLMs im Alltag ein und gestaltet die KI-gestützten Entwicklungsprozesse mit.
Integration
Agentic AICopilotCoding AgentsLarge Language ModelsAI APIs
vor 2 Wochen
Senior iOS Developer (Remote)
FinomDeutschland · Remote
For hundreds of thousands of European entrepreneurs, our iOS app is Finom.
IntegrationVollzeit
Agentic AIMachine LearningCopilotClaudePrompt Engineering
vor 3 Wochen
Machine Learning Engineer (all genders)
Avelios MedicalMünchen
Collaborate with our core development team to bring machine learning into production - Design and train ML models on large-scale clinical da
IntegrationVollzeit
Machine LearningRAGLangChainPyTorchNLP
vor 3 Wochen
Data Scientist & ML Engineer - Predictive Analytics & Agentic AI
Intersnack ITDüsseldorf
Develop, validate, and deploy predictive, prescriptive, and optimisation models for core business domains including procurement, manufacturi
IntegrationVollzeit
Agentic AIData SciencePredictive AnalyticsMachine LearningPyTorch
vor 3 Wochen
Senior Software Engineer (Typescript / FrontEnd) - AI/ML
ClickHouseBerlin
Baut KI-Funktionen wie Copilot und AI Functions End-to-End: Frontend-UIs in React/TypeScript, Backend-APIs und Anbindung von Modellen in ClickHouse Cloud.
IntegrationVollzeit
Machine LearningAgentic AICopilotTypeScriptReact
vor 3 Wochen
(Senior) AI/LLM Engineer
MercuraMünchen
As an AI/LLM Engineer, you will play a key role in building agentic AI systems end-to-end.
IntegrationVollzeit
Large Language ModelsRAGMachine LearningAgentic AIData Science
vor 3 Wochen
ML Engineer, Forward Deployed
Prior LabsBerlin
Integrate: Embed our foundation models into customer platforms, cloud environments, and ML pipelines.
IntegrationVollzeit
Machine LearningPyTorchscikit-learnData ScienceTransformer
vor 3 Wochen
Senior Software Engineer - Integrations - AI/ML
ClickHouseBerlin
As a Senior Software Engineer specializing in the AI & ML ecosystem, you ll be a core contributor owning and evolving critical parts of Clic
IntegrationVollzeit
Large Language ModelsRAGLangChainLlamaIndexMachine Learning
vor 3 Wochen
Senior Software Engineer (Backend) - AI/ML
ClickHouseBerlin
Entwickelt und betreibt KI-Features und Inference-APIs für ClickHouse Cloud, vom Backend bis zum Frontend, inklusive Oncall.
IntegrationVollzeit
Machine LearningAgentic AICopilotBackend-EntwicklungTypeScript
vor 3 Wochen
Agentic Engineer (f/m/d)
OH-SO DigitalDeutschland
What to expect We are a startup digital agency, and no two projects, clients, or even days look the same.
IntegrationVollzeit
Agentic AILarge Language ModelsRAGPrompt EngineeringCopilot
vor 3 Wochen
Lead Forward Deployed Engineer
TaktileBerlin
Taktile empowers financial institutions to transform into truly AI-native organizations.
IntegrationVollzeit
Machine LearningGenerative AIAgentic AIData Science
vor 3 Wochen
Forward Deployed Engineer - Germany
Neural ConceptMünchen
Führt Kundenprojekte in Automotive, Luftfahrt und Energie durch und entwickelt ML- und Deep-Learning-Lösungen für Engineering-Daten.
IntegrationVollzeit
Machine LearningDeep LearningPython3D Deep LearningCAD
vor 3 Wochen
AI Software Engineer – Python (m/f/x)
Scalable CapitalMünchen
As an AI Software Engineer in our Data Science team, you will help design and deliver scalable backend and cloud systems that power our AI-d
IntegrationVollzeit
Large Language ModelsLangGraphAgentic AIData Science
vor 3 Wochen
Staff Applied AI Researcher (Agentic Search)
NebiusDeutschland
Drive applied research and technical direction across retrieval and ranking systems - Design and evolve multi-stage retrieval architectures
IntegrationVollzeit
Agentic AILarge Language ModelsRAGDeep LearningEmbeddings
vor 3 Wochen
Senior Backend Engineer, Integrations - 100% Remote - Europe
HostawayWien · Remote
Hostaway is seeking a highly motivated Senior Backend Engineer to join the Core team.
IntegrationVollzeit
Large Language ModelsAgentic AICopilotClaude
vor 3 Wochen
Applied AI Engineer
MossBerlin
Build and Ship AI Agents - Design and build agents that automate complex finance workflows.
IntegrationVollzeit
Large Language ModelsRAGLangChainLangGraphLlamaIndex
vor 3 Wochen
Senior AI Engineer (all genders)
GeneralMindBerlin
Zur OriginalanzeigeDie Bewerbung läuft direkt beim Arbeitgeber.
Warum dieser Job gelistet ist
Eindeutige KI-Rollenbezeichnung im Stellentitel. Prüfverfahren ansehen
Aufgaben
We are looking for a Senior AI Engineer who treats LLMs as production software, not as magic. Someone who can own the agent layer of our platform end to end - from prompt and context design, through tool use and orchestration, to evals, reliability, and continuous improvement in live customer environments. This role sits at the intersection of two things that are rarely mastered together: shipping LLM-powered systems that actually work in messy enterprise reality, and the discipline of a real engineer - evals, observability, cost, latency, failure modes. Models get smarter every month. What stays scarce is the engineering judgment to make them reliably useful on top of SAP, Oracle, and the mess of real operational data. You will be a senior individual contributor working directly with the founders. The person in this role won’t be handed a roadmap - they’ll help define it, and build the AI practice around it.
AI Ownership Own the agent layer end-to-end: prompt and context design, tool use, orchestration, evals, and long-term technical direction. Be the person who understands why an agent made the decision it made - and who other engineers come to when a model behaves in ways they can’t explain. Set the bar on how we build with LLMs: eval-driven development, context engineering, structured outputs, cost and latency discipline. Make foundational decisions with conviction - which model, which pattern, which guardrail - document the reasoning, and evolve them as the system grows. LLM Systems in Production Design agents that survive real enterprise environments: ambiguous inputs, flaky upstream systems, exception cases that weren’t in anyone’s spec. Build the eval harness that lets us ship confidently: offline evals, online evals, regression suites, human-in-the-loop review. Think in failure modes: hallucinations, silent drift, prompt injection, tool misuse. Build the detection before you need it. Own cost and latency as first-class product requirements, not afterthoughts. Agent & Context Engineering Design agent architectures that compose cleanly: tool selection, state, memory, planning, escalation. Build the context layer that makes agents actually useful on top of SAP and Oracle data - retrieval, grounding, schema awareness, auditability. Evolve agents without breaking live customer deployments; manage prompt and model versioning with intention. Know when the right answer is a bigger model, a better prompt, a fine-tune, a tool, or just classical code. Reliability & Systems Thinking Detect regressions in agent behavior before a customer does; build the evals and observability to catch them early. Own the operational posture of the AI systems you ship: alerting, runbooks, replay, on-call readiness. Identify structural debt in prompts, pipelines, and context before it compounds; refactor with thought. What we are looking for Experience: 6+ years building production software, with clear ownership of LLM-powered systems in real customer environments - not demos, not notebooks. LLM depth: Non-negotiable. You’ve shipped agents or LLM features that run on live traffic. You have strong opinions about prompting, context, tool use, structured outputs, and what breaks in production. Evals as a first instinct: You don’t ship LLM code without a way to measure it. You’ve built eval pipelines that actually catch regressions, not just vibes. Python depth: You’re fluent in Python and comfortable in production service codebases. You make deliberate calls about async, framework choice, and performance. Reliability instinct: Hallucination containment, idempotency on tool calls, graceful degradation when a model is wrong - part of how you design, not patched in later. End-to-end ownership: You’re comfortable being the person who holds the full agent picture - from prompt to production incident. You identify what’s broken or missing before you’re asked. A real spike: We’re a strong team with broad coverage. What we’re hiring for is someone who brings a 10x improvement in an area we’re currently underinvested in. That might be agent evaluation, context engineering on enterprise data, agentic reliability, deep NLP/LLM internals, or domain-specific grounding. We don’t know exactly what shape it takes - but you should know what yours is, and be able to articulate why it matters.
Zur Position
About GeneralMind GeneralMind builds AI Systems of Action for complex enterprise workflows. We deploy AI employees that automate messy operational handovers across supply chains - processing orders, validating invoices, coordinating suppliers, and handling exceptions directly on top of enterprise systems like SAP, Oracle, JDE, and Dynamics. Our platform combines AI agents, operational context graphs, and real transaction data to achieve Autopilot-grade automation in real operational environments.
We work closely with leading global companies across manufacturing, retail, and logistics to deploy AI into mission-critical workflows. About
Interesse an dieser Position?
Die vollständige Anzeige und das Bewerbungsformular liegen beim Arbeitgeber.
Zur OriginalanzeigeWorum es hier geht
KI in bestehende Software und Abläufe bringen: Agenten, RAG-Systeme, Schnittstellen, automatisierte Arbeitsketten.