Role Description We are looking for a high-agency AI Engineer to help us build new AI features faster and improve the quality, reliability, and speed of existing AI workflows. This is a hands-on engineering role. Not research. Not prompt-only. You will turn ambiguous product ideas into working, production-ready AI features. The role is mostly focused on shipping AI product features, with some AI systems and infrastructure work where needed. You will work closely with product and engineering, but we expect you to take real ownership. You should be comfortable moving fast, making technical decisions under ambiguity, and using AI development tools such as Claude Code, Codex, Cursor, Copilot, or similar every day. As our Applied AI Engineer, you will: - Build new AI-powered product features from idea to production - Improve existing AI workflows for quality, reliability, latency, and user value - Design and implement LLM-based workflows, structured outputs, validation logic, and fallback behavior - Build evaluation loops, tests, and quality checks for AI-generated outputs - Integrate AI capabilities into existing product and backend systems - Work with commercial and open-source LLMs without being tied to one specific provider - Support self-hosted model workflows where they make sense for quality, speed, cost, or control - Debug AI feature failures across inputs, outputs, data, backend logic, and user flows - Use AI development tools as a core part of your daily workflow - Ship quickly while keeping production quality high Qualifications - Strong software engineering skills, especially in Python or a comparable backend language - Experience building AI-powered product features or LLM-based workflows - Ability to turn ambiguous product ideas into working software quickly - Strong understanding of how to design, test, validate, and improve AI outputs - Experience integrating AI workflows into production systems - Strong debugging instincts across application logic, data, model outputs, and user-facing behavior - Experience with evaluation, testing, validation, or quality checks for AI-generated outputs - Serious experience using AI development tools such as Claude Code, Codex, Cursor, Copilot, or similar as part of your daily workflow - High intelligence, fast learning speed, bias to action, and ownership mindset - Comfortable with ambiguity, fast decisions, and a high-trust startup environment - Clear written and spoken English Requirements - Experience with frontend or fullstack product development - Experience with self-hosted LLMs, model serving, inference optimization, or similar systems - Experience with open-source LLMs and related deployment workflows - Experience improving latency, cost, quality, or reliability of AI systems - Experience with healthcare software, healthcare data, or regulated environments - Experience working with structured data extraction, documentation automation, voice workflows, or workflow automation - German language skills - Knowledge of nursing homes or elderly care workflows Benefits - Remote work - Fair compensation based on skills, experience, and location - Ownership of important backend systems - Work on software used in real healthcare workflows - Modern AI-native development workflow - Room to grow with the company Company Description Discover how advanced AI technology can improve the lives of the often-overlooked heroes of healthcare – the caregivers. Our AI platform revolutionizes daily work in caregiving by automating time-consuming tasks such as documentation and/or scheduling. This allows caregivers to focus more on the care itself. Our goal is to significantly reduce the workload and sustainably improve the quality of care. At dexter, you are more than just part of a team; you actively shape a better future for healthcare. Are you ready to redefine healthcare with us? Join dexter and help us make real changes. We look forward to hearing from you!

Role Description We are looking for a high-agency AI Engineer to help us build new AI features faster and improve the quality, reliability, and speed of existing AI workflows. This is a hands-on engineering role. Not research. Not prompt-only. You will turn ambiguous product ideas into working, production-ready AI features. The role is mostly focused on shipping AI product features, with some AI systems and infrastructure work where needed. You will work closely with product and engineering, but we expect you to take real ownership. You should be comfortable moving fast, making technical decisions under ambiguity, and using AI development tools such as Claude Code, Codex, Cursor, Copilot, or similar every day. - Build new AI-powered product features from idea to production - Improve existing AI workflows for quality, reliability, latency, and user value - Design and implement LLM-based workflows, structured outputs, validation logic, and fallback behavior - Build evaluation loops, tests, and quality checks for AI-generated outputs - Integrate AI capabilities into existing product and backend systems - Work with commercial and open-source LLMs without being tied to one specific provider - Support self-hosted model workflows where they make sense for quality, speed, cost, or control - Debug AI feature failures across inputs, outputs, data, backend logic, and user flows - Use AI development tools as a core part of your daily workflow - Ship quickly while keeping production quality high Qualifications - Strong software engineering skills, especially in Python or a comparable backend language - Experience building AI-powered product features or LLM-based workflows - Ability to turn ambiguous product ideas into working software quickly - Strong understanding of how to design, test, validate, and improve AI outputs - Experience integrating AI workflows into production systems - Strong debugging instincts across application logic, data, model outputs, and user-facing behavior - Experience with evaluation, testing, validation, or quality checks for AI-generated outputs - Serious experience using AI development tools such as Claude Code, Codex, Cursor, Copilot, or similar as part of your daily workflow - High intelligence, fast learning speed, bias to action, and ownership mindset - Comfortable with ambiguity, fast decisions, and a high-trust startup environment - Clear written and spoken English Requirements - Experience with frontend or fullstack product development - Experience with self-hosted LLMs, model serving, inference optimization, or similar systems - Experience with open-source LLMs and related deployment workflows - Experience improving latency, cost, quality, or reliability of AI systems - Experience with healthcare software, healthcare data, or regulated environments - Experience working with structured data extraction, documentation automation, voice workflows, or workflow automation - German language skills - Knowledge of nursing homes or elderly care workflows Benefits - Remote work - Fair compensation based on skills, experience, and location - Ownership of important backend systems - Work on software used in real healthcare workflows - Modern AI-native development workflow - Room to grow with the company Company Description Discover how advanced AI technology can improve the lives of the often-overlooked heroes of healthcare – the caregivers. Our AI platform revolutionizes daily work in caregiving by automating time-consuming tasks such as documentation and/or scheduling. This allows caregivers to focus more on the care itself. Our goal is to significantly reduce the workload and sustainably improve the quality of care. At dexter, you are more than just part of a team; you actively shape a better future for healthcare. Are you ready to redefine healthcare with us? Join dexter and help us make real changes. We look forward to hearing from you!

Role Description Design, develop, and optimize OpenAI-powered applications, including multi-agent frameworks, chatbots, and AI-based customer support systems. - Leverage agentic technologies (e.g., Autogen framework) to implement AI agents capable of collaborating and completing complex tasks autonomously. - Build and maintain backend services using Python or .NET to support OpenAI integrations. - Work with custom datasets, applying techniques such as chunking, embedding, and vector search for model fine-tuning and retrieval-augmented generation (RAG). - Integrate Azure Cognitive Services (e.g., Text Analytics, Translator, Form Recognizer) to enhance functionality and intelligence of AI solutions. - Ensure scalable and secure deployment of AI solutions on Azure, using services like Azure Functions, Azure App Service, and Azure Kubernetes Service (AKS). - Regularly evaluate and fine-tune GPT models to ensure high performance and relevance. Qualifications - Proficient in Python or .NET for backend and AI integration development. - Strong experience with OpenAI GPT models and their practical applications. - Experience with agentic technologies (e.g., Autogen, LangGraph, CrewAI) for multi-agent systems. - Familiarity with Microsoft Azure Cognitive Services and Azure AI Studio. - Solid grasp of machine learning fundamentals, including training, fine-tuning, and evaluating language models. - Practical knowledge of Natural Language Processing (NLP) techniques. Benefits - Flexible work arrangements to maintain a healthy work-life balance. - Career growth programs and diverse professions to explore a world of opportunities. - Valuable certifications in the latest technologies such as Generative AI.

• Lead key areas of the Hitachi iQ and iQ Studio portfolio • Manage AI infrastructure and platform offerings • Drive end-to-end product ownership • Contribute to and execute against the product roadmap • Define and deliver AI data pipelines • Work directly with customers and field teams • Collaborate with Engineering, Sales/Marketing, and Alliances teams