Job Description
Simon-Kucher is at the forefront of innovation in our space, inventing business models, algorithms, solutions, and methodologies for unlocking better growth of our clients. And Simon-Kucher Engine's digital end-to-end solutions deliver sustained top-line impact for our clients. Are you interested in working in a team of digital evangelists with a can-do attitude? Want to experience the dynamics of agile processes in open-minded teams? How about getting creative in a startup atmosphere with a steep development curve and flat hierarchies? And most importantly, do you want to make a difference? Then you've come to the right place.
This is a hybrid position with flexible time split between working in our Berlin office and remote working.
Simon-Kucher is a global consultancy with more than 2,000 employees in 30+ countries.
Our sole focus is on unlocking better growth that drives measurable revenue and profit for our clients. We achieve this by optimizing every lever of their commercial strategy – product, price, innovation, marketing, and sales – based on deep insights into what customers want and value. With 40 years of experience in monetization topics of all kinds, we are regarded as the world's leading pricing and growth specialist.
We believe in building a culture that embraces diversity, equity, and inclusion, creating an environment in which our people feel valued, are able to be themselves and feel their contribution matters. If we get that right, remarkable things will happen; people will grow faster, innovate, feel valued, and create better outcomes for everyone – our people, our clients and, of course, our business.
We are seeking an experienced AI Engineer to join our AI Product Team and participate in implementing our roadmap for our next-generation pricing via embedding AI workflows into our sales and marketing platforms, such as B2B and consumer goods pricing as well as retail pricing and dynamic pricing software platforms. You will design, build, and optimize agentic AI-driven workflows—spanning LLM interaction development and semantic context awareness in addition to full workflow automation and observability. You will collaborate with the AI Product Manager, Data Scientist and MLOps to deliver scalable, transparent, and reliable AI features across our multiple SaaS pricing apps for our customers.
- Design, configure, and optimize interactions with LLMs through retrieval-augmented generation (RAG), and orchestration.
- Implement tool-calling patterns to integrate LLMs with SaaS tools and APIs.
- Leverage fine-tuning or parameter-efficient techniques for performance enhancement.
- Prompt and Chat management including ensuring LLM responses are according to user permissions and logging of results and metadata
- Ontology-driven tagging for building semantic understanding and context awareness via knowledge graphs
- Reinforcement Learning Layer to capture user feedback and apply to decision-making models.
- Adaptive Decision Support so AI agents refine recommendations based on observed interactions.
- Implement robust monitoring and evaluation pipelines using observability tools to ensure performance, reliability, explainability and transparency of AI models.
- Work closely with the AI Product Manager on translating roadmap deliverables into technical solutions and with the Data Scientist on experimentation and data-driven insights. Collaborate with backend and frontend engineers to integrate AI components seamlessly into the SaaS architecture.
- Run experiments, track performance metrics, and continuously optimize AI LLM model behavior.
- Build tooling for prompt versioning, testing, and deployment pipelines.
Technical Expertise
- You have a bachelor's or master's degree in Computer Science, Software Engineering, Business Information Systems, or a related field.
- Programming background in Java and Python.
- Proven experience designing and implementing AI workflows and utilizing the LangChain framework
- Deep knowledge of utilizing knowledge representation techniques and graph databases (e.g., Neo4j, TigerGraph).
- Proficiency in building AI evals
- Knowledge of MCP servers and multi-agent collaboration
- Familiarity with monitoring and observability tools for AI (e.g. Braintrust or Arize)
- Familiarity with with ML/NLP Classifiers
- Understanding of data pipelines and analytics workflows.
Experience & Delivery
- 5+ years of experience in software engineering, with at least 2+ years in an AI engineering role.
- Demonstrated ability to act hands-on with a can-do attitude to embed cutting-edge AI into our high-impact pricing product domains
- Experience working with agile methodologies and CI/CD pipelines.
Nice to have
- Experience in pricing, fintech, or B2B SaaS platforms.
- Familiarity with automation frameworks like n8n
- Exposure to machine learning / optimization algorithms applied specifically to pricing or similar domains.
- Advance your career with exciting professional opportunities in our thriving company with an entrepreneurial and startup spirit
- Add to your experience with our projects that focus on growth, have a positive impact, and truly matter
- Voice your unique ideas in a corporate culture defined by openness and integrity
- Enjoy the opportunity to work from abroad (workation)
- Feel at home working with our helpful, enthusiastic colleagues who have great team spirit
- Broaden your perspective with our extensive training curriculum and learning programs (e.g. LinkedIn Learning)
- Speak your mind in our holistic feedback and development processes (e.g. 360-degree feedback)
- Satisfy your need for adventure with our opportunities to live and work abroad in one of our many international offices
- Enjoy our benefits, such as hybrid working, daycare allowance, corporate discounts, and wellbeing support (e.g. Headspace).
- Unwind in our break areas where you can help yourself to the healthy snacks and beverages provided
- See another side of your coworkers at our frequent employee events and highly anticipated World Meeting and Holiday Party