AI Engineer (m/f/d) - SaaS

Your Role

Join our team as a AI Engineer, 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 profile: What you need to succeed

• Bachelor’s or master’s degree in Computer Science, Engineering, or related field with a focus on ML and AI.
• 3-5 years in AI engineering, with a proven track record of developing and deploying LLM-based applications in production.
• Proficiency in Python, TensorFlow, PyTorch, and scikit-learn. Strong understanding of version control, CI/CD, and containerization (Docker, Kubernetes).
• Hands-on experience with large language models and machine learning management systems.
• Excellent communication skills and experience working in dynamic, cross-functional teams.
• 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?

• Be part of the core team on our journey towards building category defining software.
• Opportunities for professional growth and career advancement in a supportive environment.
• Influence the direction of our platform and contribute to its evolution with your expertise.
• Enjoy a flexible work schedule and the option to work remotely, with a focus on work-life balance.
• 30 Holidays per year and the possibility to do workation based on business needs.
• Choose your preferred workspace setup and equipment to optimize your productivity.
• Participate in regular team events and off-sites, fostering a collaborative and inclusive culture.
• Care about your health with Wellhub (Gympass).

Your mission

• 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.
• 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.
• Develop a scalable and robust AI infrastructure, including data pipelines, model deployment frameworks, and monitoring tools, to support advanced data-driven applications.
• 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.
• 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.

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