209 AI Engineer jobs in Germany available for remote work from home. Apply for positions such as AI Engineer, AI Engineer, AI Engineer (w/m/d) and more! Discover the best work-from-home or hybrid, full- and part-time jobs.
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The AI Engineer will navigate ambiguity and adapt quickly in a fast-moving team while demonstrating ownership by proactively identifying challenges and driving solutions. They will collaborate across distributed teams to design, build, and iterate on innovative AI solutions from concept to production.
The AI Engineer will navigate ambiguity and adapt quickly in a fast-moving team while demonstrating ownership by proactively identifying challenges and driving solutions. They will collaborate across distributed teams to design, build, and iterate on innovative AI solutions from concept to production.
You will develop and implement modern AI and GenAI solutions, integrating them into existing system landscapes to automate processes. Additionally, you will be responsible for scaling prototypes into productive applications and collaborating cross-functionally with data teams and consultants.
You will participate in workshops to conceptualize modern AI and GenAI applications while developing prototypes and MVPs. Additionally, you will support customers in transforming these solutions into productive, value-adding AI products.
You will be responsible for the architecture and development of the Python-based AI platform, focusing on RAG systems and agent workflows. Additionally, you will ensure system stability, scalability, and long-term maintainability of the AI pipelines.
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The intern will develop autonomous agents and intelligent workflows to automate business development and sales processes. They will also integrate BI infrastructure with AI applications and evaluate new AI tools for practical business use.
You will architect and implement production-ready generative voice AI solutions, including managing the complete voice stack from telephony to LLM orchestration. You will also collaborate with cross-functional teams to ship reliable AI functionality and establish best practices for AI development and deployment.
You will work with research engineers to advance the AI Solver by iterating on model architecture, training strategies, and data generation. Additionally, you will design experiments, analyze model behavior, and extend deployment workflows to improve simulation accuracy.
Design and build AI-powered product experiences such as finance copilots, chat interfaces, and autonomous workflows. Collaborate with cross-functional teams to integrate LLMs with structured financial data and ensure production-grade reliability.
You will lead end-to-end full-stack delivery and shape the company's AI engineering strategy by building features and agentic workflows. You will also collaborate directly with the CTO on platform architecture, roadmap decisions, and technical strategy.
Develop and manage AI/ML pipelines using Large Language Models while focusing on model selection, configuration, and RAG-oriented data retrieval. Implement advanced OCR solutions and design experiments to evaluate model performance and drive product improvements.
You will analyze AI use cases with clients and develop ML and GenAI solutions using LLMs and RAG. Additionally, you will build data and ML pipelines and support the integration of AI applications into cloud environments.
You will partner with the AI engineering team to design and implement agentic workflows and LLM-powered features. Additionally, you will integrate AI systems with internal data sources and deploy these features into production environments.
You will develop and improve AI algorithms for IoT products and build automated workflows to streamline organizational processes. The role involves prototyping new solutions and integrating AI into core business systems like CRM and ERP.
You will develop and improve AI algorithms for sensor products and build automated workflows to streamline internal organizational processes. The role involves prototyping new solutions and integrating AI into core business systems like CRM, ERP, and HR.
Develop and improve AI algorithms for IoT sensor products and build automated workflows to streamline organizational processes. Integrate AI into core business systems like CRM, ERP, and HR while prototyping new infrastructure.
Design and optimize agentic workflows using LLMs across chat, meeting preparation, and recommendations. Advance voice-enabled agents by managing real-time conversation pipelines, transcription, speech synthesis, and dialogue management.
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Develop and optimize AI solutions using LLMs and generative models to impact educational products. Collaborate with product, engineering, and pedagogical teams to translate business needs into technical implementations.
The Senior AI Engineer will lead the development of high-impact AI solutions using LLMs and generative models to enhance educational products. They will act as a technical reference for the team, overseeing architectural choices and optimizing AI development pipelines.
You will build and maintain agentic features and AI-powered products within a cross-functional Data Science & AI team. This role involves leading technical discussions, shaping architectural foundations, and writing clean, maintainable code for a leading European neo-broker.
Design and implement integration and automation systems that orchestrate connectors and manage data streams for AI use cases. Develop backend solutions using Python and LangGraph to integrate LLM-driven processes into productive workflows.
Design and improve large-scale retrieval systems, including semantic search and LLM-driven query understanding for job matching. Own the scientific evaluation process by curating benchmarks and conducting rigorous A/B testing to optimize search quality and latency.
Build and ship mobile features for Android and iOS to create an AI Finance Agent. Collaborate with product and design teams to turn complex financial journeys into intuitive mobile experiences.
Build and ship native Android features for an AI Neobank app using Kotlin and Jetpack Compose. Collaborate with product and design teams to create secure, stable, and high-performance financial service flows.
Build and ship mobile features for an AI Neobank app across Android and iOS platforms. Collaborate with product and design teams to create intuitive financial service flows and improve overall app reliability.
Lead the design and implementation of AI projects, specifically RAG pipelines and prompt engineering for NDR and UEBA products. Collaborate with security analysts to translate cybersecurity workflows into AI-assisted solutions and mentor team members.
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Develop and ship native Android features for an AI Finance Agent using Kotlin and Jetpack Compose. Collaborate with product and design teams to optimize user journeys and integrate backend APIs for financial services.
Responsible for end-to-end AI deployments from discovery and scoping to architecture and production rollout. The role involves bridging the gap between business requirements and technical implementation for mid-sized and large enterprises.
Own and scale the agent layer and matching engine for an AI-first fundraising platform. This includes building conversational agents for investor outreach and managing the backend data pipelines.
Own the conversation layer of an AI fundraising platform, managing agents that handle replies, booking, and relationship nurture. Build broader applied-AI features including classification, extraction, and the evaluation framework to ensure quality.
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