178 AI Engineer jobs in Germany available for remote work from home. Apply for positions such as Forward Deployed AI Engineer, AI Engineer (w/m/d), AI Engineer Consultant (m/w/d) and more! Discover the best work-from-home or hybrid, full- and part-time jobs.
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You will act as the primary interface between the product team and customers to translate specific requirements into robust, scalable software implementations. Additionally, you will be responsible for the deployment, monitoring, and continuous optimization of AI-driven automation tools within client production environments.
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.
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.
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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.
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.
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.
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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.
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.
The role involves building and shipping end-to-end AI features, from designing prompts and agent workflows to ensuring production reliability. You will be responsible for turning raw model outputs into structured behaviors and optimizing for latency and cost.
Own the inference and orchestration layer to build production systems that power AI interactions. Focus on designing stable APIs, optimizing latency, and managing production concerns like monitoring and incident response.
Build and deploy production-grade AI-native product features and agent workflows that handle multi-step reasoning and tool use. Focus on improving system reliability, reducing latency, and creating proactive, goal-driven user experiences.
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Translate business requirements into production-ready AI solutions and workflows using tools like Claude, ChatGPT, and n8n. Develop and govern a centralized enterprise AI platform, including RAG solutions and AI agents, while ensuring security and data privacy.
Translate business requirements into productive AI solutions and workflows using tools like n8n, Claude, and ChatGPT. Develop the company-wide AI platform, including data integration, RAG applications, and governance frameworks.
Design and develop AI-powered features and agentic workflows to help users analyze and organize large datasets. Take ownership of the full development lifecycle from rapid prototyping to scaling production-grade AI solutions.
Build AI-native systems and agents to automate financial workflows for a Neobank app. Design and implement reliable, scalable AI tools for onboarding, KYC, risk review, and operations while managing latency and accuracy.
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