Role Description Als LLM Engineer entwickelst du Lösungen zur Integration und Optimierung von Sprachmodellen in der botario-Plattform. Du bleibst über aktuelle Entwicklungen in der KI-Forschung informiert und unterstützt das Team bei der Bewertung der Modellqualität und -effizienz. - Du beobachtest Trends und Fortschritte in der NLP- und KI-Forschung, um Innovationen aus dem Bereich der Large Language Models in das Produkt zu integrieren. - Du sorgst dafür, dass LLMs im Zusammenspiel mit der botario Plattform im produktiven Einsatz bei Kunden verwendet werden können – egal ob es um das neueste schnellere Inferenzframework oder die allerneuste Promptingtechnik geht. - Du experimentierst mit neuen Modellen und Architekturen, um den Chatbot leistungsfähiger zu machen. - Du unterstützt das botario Team und unsere Kunden dabei, LLMs hinsichtlich Antwortqualität, Latenzen, Kosten und weiteren Aspekten zu evaluieren, indem du fundierte Analysen lieferst und wertvolle Insights beisteuerst, um optimale Entscheidungen zu treffen. Qualifications - Du hast sehr gute Programmierkenntnisse und hast auch keine Angst dich mit DevOps zu beschäftigen, lebst die Best Practices und hast bereits erfolgreich Softwareprojekte gemacht. - Du arbeitest gerne im Team und mit agilen Methoden. - Du hast praktische Erfahrung in der Implementierung von KI-bezogenen Funktionen in Softwareprodukten – vom Modeltraining bis zur Bereitstellung und der Versionierung. - Du hast Erfahrung mit Python, Microservice Architekturen, ML-Model Serving, Docker und co. - Wünschenswert sind erste Erfahrungen im kommerziellen Einsatz von Open-Source-LLMs, gerne in Niedriglatenzkontexten in Kombination mit SpeechToText und TextToSpeech Modellen. - Du hast Erfahrung mit den aktuellsten LLM-Technologien und -Praktiken. - Du bist vertraut mit Cloud-Plattformen und Containerisierungstechnologien. - Du denkst lösungsorientiert und gehst dabei Probleme analytisch und strukturiert an. - Du hast eine eigenständige Arbeitsweise und begeisterst dich für KI. - Du beherrschst Deutsch und Englisch in Wort und Schrift. Benefits - Als innovatives Unternehmen mit klarer Vision tragen wir aktiv zur Digitalisierung und Transformation der Kommunikationslandschaft bei, indem wir neue Ideen und kreative Lösungsansätze entwickeln und uns von alten Strukturen lösen. - Kurze Entscheidungswege, die Möglichkeit, sich einzubringen, Dinge zu verändern und neue Technologien einzusetzen. - Weitläufiges Office am Europahafen: Arbeitsplatz mit Wasserblick! - Firmen-Fitness, BusinessBike und ein eigenes Firmenboot. - Kostenübernahme für E-Learning-Kurse nach Wunsch. - Regelmäßiger Austausch: Wir besuchen und organisieren interne und öffentliche (KI-)Events. - Spannende, internationale Kunden aus verschiedensten Branchen. - Faires, angemessenes Gehalt und Mitarbeiterbeteiligung. - 30 Tage Urlaub und Möglichkeit zur Teilzeit. - Top-Hardware, höhenverstellbare Tische und mehrere Monitore an jedem Arbeitsplatz. - Selbstverständlich: Bio-Obst/Gemüse, Smoothie-Bar, Eis-Flatrate, Thermomix und Reiskocher sowie Getränke (guter Kaffee, Mate etc.). - Wir unterstützen die Vereinbarkeit von Beruf, Familie und Privatleben und sind "Ausgezeichnet Familienfreundlich". Company Description Wir sind Europas vertrauenswürdiger Partner für KI-gestützte Businesskommunikation. Zuverlässig. Intelligent. Immer einen Schritt voraus. In einer Welt, die sich stetig wandelt, wird Kommunikation zur treibenden Kraft für Fortschritt, Innovation und nachhaltiges Wachstum. Kommunikation öffnet Wege, wo andere Grenzen sehen. Deshalb denken wir Businesskommunikation neu – intelligent, skalierbar, menschlich. Egal, ob Cloud-basiert oder KI-gestützt – wir verbinden Menschen, Ideen und Systeme. Immer mit dem Fokus auf echtem Nutzen. Wir inspirieren und unterstützen Unternehmen, nachhaltig zu wachsen und ihr volles Potenzial zu entfalten. Mit Lösungen, die funktionieren und mitdenken. Mit Systemen, die verbinden - nicht trennen. Mit KI, die unterstützt - nicht ersetzt. Gemeinsam gestalten wir die Zukunft der Kommunikation. Zuverlässig, intelligent und immer einen Schritt voraus. Kommunikation, die versteht, verbindet und verändert. Für unsere Kunden, Partner und für die Gesellschaft.

Role Description At Louco, we’re reinventing how people find and experience events. We’re looking for a Full Stack Engineer to join our small, fast-moving team and help build the future of event discovery. - Build and scale full stack systems powering Louco’s event discovery platform — from backend infrastructure and APIs to intuitive frontend user experiences. - Own end-to-end user flows across the platform, ensuring users can seamlessly discover, explore, and attend events. - Develop and improve systems for personalized feeds, recommendations, venue discovery, notifications, search, and ticket integrations across multiple providers. - Help integrate AI into the product experience to improve discovery, personalization, recommendations, and content understanding. - Build scalable ticketing and checkout-related systems connecting users with events in the fastest and simplest way possible. - Collaborate closely with engineers, product, and design to turn ideas into fast, intuitive, and scalable product experiences. - Take ownership of features from idea to production — including architecture, implementation, testing, deployment, and performance optimization. - Improve platform scalability, reliability, and app performance as Louco continues to grow. - Work in a fast-moving startup environment where priorities evolve quickly and new challenges constantly emerge. - Help shape the future of how people discover and experience real-world events. Qualifications - You’re a strong full stack engineer who enjoys building scalable product experiences across frontend and backend systems. - You’re highly proficient with technologies like PHP/Laravel, React, Node.js, and TypeScript. - You actively use AI development tools like ChatGPT, Claude, Cursor, Copilot, or similar tools to move faster and work smarter. - You enjoy building end-to-end user experiences and can move seamlessly across product, backend, infrastructure, and integrations. - You move fast, stay calm under pressure, and are able to make smart and pragmatic decisions in fast-changing environments. - You care about clean architecture, scalability, performance, and building products with real user impact. - You take ownership, think independently, and enjoy solving difficult problems with limited resources. - You’re excited about helping reinvent how people discover and experience real-world events. Benefits - Performance-based bonuses for outstanding contributions - High ownership and real product impact - Work directly with the founders - Build the future of event discovery - Flexible remote work - Opportunity to grow with the company long term - Work with modern AI tools and workflows Company Description Louco is the game changer in live entertainment. The first platform that truly understands what users want and delivers hyper-personalized event experiences.

At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth. Those in data science and machine learning engineering at PwC will focus on leveraging advanced analytics and machine learning techniques to extract insights from large datasets and drive data-driven decision making. You will work on developing predictive models, conducting statistical analysis, and creating data visualisations to solve complex business problems. Focused on relationships, you are building meaningful client connections, and learning how to manage and inspire others. Navigating increasingly complex situations, you are growing your personal brand, deepening technical expertise and awareness of your strengths. You are expected to anticipate the needs of your teams and clients, and to deliver quality. Embracing increased ambiguity, you are comfortable when the path forward isn't clear, you ask questions, and you use these moments as opportunities to grow. Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to: Respond effectively to the diverse perspectives, needs, and feelings of others. Use a broad range of tools, methodologies and techniques to generate new ideas and solve problems. Use critical thinking to break down complex concepts. Understand the broader objectives of your project or role and how your work fits into the overall strategy. Develop a deeper understanding of the business context and how it is changing. Use reflection to develop self awareness, enhance strengths and address development areas. Interpret data to inform insights and recommendations. Uphold and reinforce professional and technical standards (e.g. refer to specific PwC tax and audit guidance), the Firm's code of conduct, and independence requirements. The Opportunity As part of the Data and Analytics Engineering team you will develop and implement AI solutions that enhance product offerings. As a Senior Associate, you will analyze complex problems, mentor junior team members, and maintain elevated professional standards while building meaningful client relationships. Responsibilities - Build and nurture meaningful relationships with clients - Utilize advanced analytical techniques to drive innovation - Work with cross-functional teams to achieve project goals - Uphold the firm's ethical standards and recommended practices What You Must Have - Bachelor's Degree in Computer Science, Data Processing/Analytics/Science, Artificial Intelligence and Robotics - 3 years of professional experience developing AI/ML systems or integrating AI into products What Sets You Apart - Master's Degree preferred - Possessing advanced proficiency in prompt engineering - Demonstrating experience deploying LLMs into production - Designing and optimizing RAG pipelines - Leading technical discovery in fast-paced environments - Collaborating effectively with cross-functional leaders - Advocating for responsible AI principles - Contributing to AI research or open-source communities - Demonstrating knowledge of orchestration tools such as LangChain, LlamaIndex, and experience with agent-based systems The salary range for this position is: $55,000 - $151,470. For residents of Washington state the salary range for this position is: $55,000 - $187,000. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. All hired individuals are eligible for an annual discretionary bonus. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more. To view our benefits at a glance, please visit the following link: https://pwc.to/benefits-at-a-glance As PwC is an equal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law. PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy. Learn more about how we work: https://pwc.to/how-we-work For only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for Employment in accordance with these laws. At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship to responsibilities such as accessing sensitive company or customer information, handling proprietary assets, or collaborating closely with team members. We evaluate these factors thoughtfully to establish a secure and trusted workplace for all. Applications will be accepted until the position is filled or the posting is removed, unless otherwise set forth on the following webpage. Please visit this link for information about anticipated application deadlines: https://pwc.to/us-application-deadlines

• Build and operate LLM-powered internal solutions, tools, and automations end-to-end • Ship customer-facing AI features • Drive technical decisions from design through production rollout • Own systems in production, including monitoring, reliability improvements, and incident response participation • Build and maintain LLM evaluation workflows, including quality/safety checks, baselines, and regression detection • Partner with R&D, product, and security teams • Evaluate emerging AI technologies and patterns, and advocate adoption when justified