Your Role Join our team as a (Senior) AI Engineer (m/f/d), specializing in Large Language Models (LLMs), to revolutionize how customers interact with their ERP data through our "Chat with Your Data" feature. You'll be at the forefront of applying AI and ML technologies, developing innovative solutions that transform customer experiences and provide real-time access to critical business information. Your mission Revolutionize AI-Driven Customer Interaction: Create and implement cutting-edge AI applications centered around LLMs to enhance customer interaction with ERP data, ensuring consistent handling of data from different companies. Build Intelligent Conversational Interfaces: Utilize your expertise in LLMs to design and deploy chat-based solutions that provide seamless access to data and insights, interpreting ML-based results for clients' data and ensuring they can be integrated into our frontend. Scalable AI Infrastructure: Develop a scalable and robust AI infrastructure, including data pipelines, model deployment frameworks, and monitoring tools, to support advanced data-driven applications. Cross-Functional Collaboration: Collaborate with cross-functional teams, including product managers and frontend engineers, to gather customer requirements and translate them into effective AI solutions that can be easily integrated. Software Engineering Best Practices: Implement best practices in software engineering, such as version control, CI/CD pipelines, and automated testing, to ensure the reliability, maintainability, and performance of our AI systems, particularly in handling diverse company data. Your profile: What you need to succeed Educational Background: Bachelor's or master's degree in Computer Science, Engineering, or related field with a focus on ML and AI. AI Engineering Experience: 4 years in AI engineering, with a proven track record of developing and deploying LLM-based applications in production. Technical Proficiency: Proficiency in Python, TensorFlow, PyTorch, and scikit-learn. Strong understanding of version control, CI/CD, and containerization (Docker, Kubernetes). Hands-On Expertise: Hands-on experience with large language models and machine learning management systems. Effective Communication: Excellent communication skills in English and experience working in dynamic, cross-functional teams. Fluency in German is advantageous but not required. Deep Knowledge of NLP & Conversational AI: Familiarity with frameworks like langchain for conversational applications, deploying and maintaining production systems, and utilizing vector databases with ontologies in agent systems. Expertise in SOTA NLP methods and RAG applications is crucial. Why acto? Our Tech Stack Backend: Python, Kotlin, Spring Boot Frontend: React, TypeScript, Zustand, Material UI, … DB: PostgreSQL, Clickhouse Data: Python, Pandas, … Cloud: AWS, Kubernetes Other: GitHub, GitHub Actions, Terraform, … Benefits Development Opportunities : Steep development opportunities without entrenched hierarchies. Culture: We are an ambitious team that wants to achieve a lot with acto, but we don't take ourselves too seriously and like to have fun together, be it working together, at regular team events or our annual offsites, such as in Lisbon in May. Flexibility: Enjoy a flexible work schedule and a remote set up with the option to work from any Adesso offices around Germany or our newly opened Munich Office. Health & work-life balance: Enjoy 30 days of vacation and an attractive Gympass (Wellhub) membership. Ownership: One of our values is: “Own your stuff”. Whether you are an intern or a full-time acto-naut, acto instills a deep sense of ownership, where every team member is entrusted with meaningful responsibilities and the autonomy to make impactful decisions. Equipment: You will receive a state-of-the-art hardware setup with a choice between Mac and Windows. About us At acto, we believe that the future does not belong to the companies that have the most data, but to those that can use their potential most effectively. That's why we develop software that builds on existing ERP systems and transforms data into prioritized and AI-supported recommendations for action. We help B2B sales teams in the logistics, wholesale and B2B consumer goods sectors to escape the data chaos and use AI to make better decisions faster, thereby increasing productivity. We started in 2021 and since then have not only been able to win well-known medium-sized companies as customers, but also bring well-known investors such as 468 Capital and Cusp Capital on board.