Role Description Für ein hochkarätiges, noch geheimes KI-Projekt suchen wir nun einen brillanten Full-Stack Entwickler. Wir bauen ein exklusives, abobasiertes KI-Produkt, das zahlenden Mitgliedern konversationellen Zugang zu den dokumentierten Prinzipien einer bekannten Persönlichkeit gibt. Das ist kein generischer Chatbot, sondern ein präzises Retrieval-Augmented Generation (RAG) System, das ausschließlich auf den verifizierten Inhalten unseres Klienten basiert. - RAG-Pipeline & KI: Architektur und Entwicklung der serverseitigen RAG-Pipeline, von der Query-Verarbeitung über Embedding und Vector Search bis zur Prompt Construction. - Full-Stack Entwicklung: Aufbau des Frontends und Backends, wobei sichergestellt wird, dass alle LLM-API-Calls strikt serverseitig bleiben. - Subscription & Payments: Integration eines 3-stufigen Abo-Modells inklusive 7-Tage-Trial via Stripe. Du implementierst robuste Webhook-Logiken zur Tier-Validierung direkt in der Datenbank. - Automatisierung (Data Ingestion): Aufbau einer Pipeline (z. B. via Make.com oder n8n), die automatisch neue Audio- und Videoinhalte transkribiert (Whisper API), bereinigt, in Chunks unterteilt und in die Vektordatenbank lädt. - Data Intelligence: Entwicklung eines internen Behavioral Analytics Dashboards, das Suchanfragen, emotionale Tonalität, Content-Gaps und Limit-Erreichungen in Echtzeit trackt. Qualifications - Tiefgehende Erfahrung in der Entwicklung moderner Full-Stack-Webanwendungen, idealerweise mit unserem präferierten Tech-Stack: Next.js (React) für das Frontend und Node.js (Express oder Next.js API Routes) für das Backend. - Praxiswissen im Aufbau von RAG-Systemen, dem Management von Vektordatenbanken (Pinecone oder Weaviate) und dem Umgang mit LLM-APIs (insbesondere Anthropic Claude Sonnet und OpenAI). - Sicherer Umgang mit PostgreSQL (z. B. via Supabase) und Authentifizierungslösungen wie Clerk oder Supabase Auth. - Erfahrung mit der sicheren Implementierung von Stripe (Abonnements, Dunning, Webhooks). - Hohe Sicherheitsbewusstsein: API-Keys und Rate Limits müssen zwingend serverseitig verarbeitet und durchgesetzt werden. - Die Fähigkeit, eigenverantwortlich in einem straffen 12-Wochen-Zeitplan (Build-to-Launch) zu arbeiten und technische Entscheidungen proaktiv mit unserem Project Lead abzustimmen. Benefits - 100% Remote: Arbeite flexibel von wo du willst. - Cutting-Edge Tech: Arbeite an einem echten, innovativen RAG-KI-System mit modernen LLMs und modernem Tech-Stack. - Verantwortung & Impact: Du bist maßgeblich für den Systemaufbau eines Produkts verantwortlich, das nach Launch eine hohe Sichtbarkeit haben wird. - Effizienz: Kurze Kommunikationswege direkt mit dem Project Lead. - Perspektive: Option auf eine langfristige Zusammenarbeit für Wartung und Weiterentwicklung nach dem erfolgreichen Launch.

Role Description As an AI Engineer, you will design and implement advanced AI models and algorithms that drive our products and services. You'll work closely with data scientists and product teams to develop solutions that leverage machine learning, natural language processing, and more. Key Responsibilities - Design and develop AI models and algorithms to solve complex problems. - Collaborate with cross-functional teams to integrate AI capabilities into existing products. - Analyze large datasets to extract insights and improve model performance. - Stay current with industry trends and advancements in AI technology. Qualifications - Strong experience in machine learning frameworks (TensorFlow, PyTorch, etc.). - Proficiency in programming languages such as Python, Java, or C++. - Familiarity with natural language processing and computer vision techniques. - Excellent problem-solving skills and a passion for AI innovation. Benefits - Flexible Work Environment: Enjoy the freedom of remote work while engaging in groundbreaking AI projects. - Growth Opportunities: We believe in nurturing talent. Optional career coaching services are available to support your professional development at no risk—if you don't find it beneficial, there's no obligation to continue. - Dynamic Team Culture: Be part of a team that values creativity and collaboration, where your contributions are pivotal to our success. How to Apply If you're ready to push the boundaries of AI technology, we want to hear from you! Please send a message on Instagram to @genomiller26!

Role Description We, at Leggett & Platt Inc., are searching for an AI Engineer III within our Corporate IT team to help support our business. As an AI Engineer III you will have the opportunity to build, deploy, and support AI-enabled solutions that improve business processes. This role will work closely with AI architects, data teams, application teams, and business stakeholders to deliver secure, scalable, and production-ready AI capabilities. - Design, build, test, deploy, and maintain machine learning, generative AI, and AI-enabled application solutions for business use cases. - Develop LLM-powered applications such as copilots, chatbots, knowledge assistants, summarization tools, agents, and workflow automation solutions. - Implement retrieval-augmented generation patterns, including document ingestion, chunking, embeddings, vector search, retrieval logic, response grounding, and evaluation methods. - Build and maintain data pipelines, APIs, services, connectors, and integrations that embed AI capabilities into enterprise applications and business processes. - Develop prompt and context engineering approaches, structured outputs, tool or function calling patterns, guardrails, and content filtering for generative AI solutions. - Use Microsoft and enterprise platforms such as Azure OpenAI, Azure AI Foundry, Azure AI Search, Azure Machine Learning, Microsoft Fabric, Power Platform, Microsoft 365, and Dynamics 365 for development, orchestration, deployment, and integration. - Apply secure development, responsible AI, sensitive data handling, access control, prompt injection protection, and enterprise data governance practices. - Implement MLOps and LLMOps practices, including version control, automated testing, CI/CD, deployment pipelines, monitoring, rollback processes, and production troubleshooting. - Collaborate with AI architects, data scientists, data engineers, analysts, DevOps teams, application teams, and business stakeholders to deliver supportable AI solutions. - Monitor deployed AI services for quality, reliability, usage, cost, performance, errors, drift, security events, business value, and continuous improvement opportunities. Qualifications - 5+ years of experience in software development, data engineering, cloud engineering, or related technical roles. - 1 to 2 years of hands-on experience building solutions with generative AI, large language models, copilots, agents, automation, or AI-enabled applications. - Working knowledge of retrieval-augmented generation, embeddings, vector search, prompt and context engineering, structured outputs, and LLM evaluation concepts. - Experience using cloud-based AI, machine learning, search, data, or application development platforms to build, integrate, deploy, and support AI-enabled solutions. - Proficiency in Python and experience with common AI, data, and application development libraries, frameworks, APIs, and SDKs. - Experience with Git, automated testing, CI/CD practices, cloud deployment, logging, monitoring, and production troubleshooting. - Strong understanding of machine learning fundamentals, data structures, model evaluation, software engineering practices, secure development, data privacy, access controls, responsible AI, and enterprise data governance. - Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, Information Technology, or related field. Requirements - Experience building production AI applications using Azure OpenAI, Azure AI Foundry, Azure AI Search, Azure Machine Learning, Microsoft Fabric, Power Platform, Microsoft 365, Copilot Studio, or Dynamics 365 integrations. - Experience developing APIs, connectors, microservices, or application integrations using Python, C#, REST APIs, or related technologies. - Experience with containers, cloud deployment patterns, observability, monitoring, and production incident support. - Ability to optimize AI solutions for reliability, performance, scalability, cost, maintainability, user adoption, and responsible use. Benefits - Inclusive culture that promotes equity for all. - Opportunities for learning and development. - Commitment to safety and care for each other.

• Map operational workflows across the business, beginning with Sales and expanding across the broader organization • Partner closely with Revenue Operations to identify high-impact opportunities for AI • Drive adoption by creating documentation, guardrails, and training • Partner with Engineering when solutions require custom development • Scale successful AI playbooks beyond go-to-market