AI Engineer developing AI use cases for Smartbroker's internal processes and client products. Driving innovation and technology adoption at the intersection of business and data.
Responsibilities
Design and develop AI use cases for internal processes or client facing product features using up to date GenAI technologies based on LLMs & RAG
Develop and maintain the technical AI and machine learning infrastructure for deploying AI-enabled solutions in the cloud
Build AI and data features in close collaboration with product engineering teams
Implement end-to-end efficient data and AI pipelines according to our data consumers‘ needs up to consumable data & AI products
Own the technical implementation and components of your team as well as their operation and maintenance
Act as a consultant for other technical teams with regards to usage of GenAI models, tools, and agents
Requirements
University degree in a technical field: computer science, business informatics, natural sciences, or similar
Expert knowledge on state-of-the-art AI use cases, agentic applications and best practices
Expert knowledge in machine learning, generative AI, LLMs & RAG, AI agents and related technical tools (OpenAI, LangChain, Langfuse …)
Very good python & SQL programming skills, Java is a plus
Deep technical knowledge of modern cloud based AI platforms (GCP/AWS)
Deep knowledge of software engineering best practices—from requirements specification, version control, CI/CD, and testing to deployment and monitoring of data pipelines and services
Familiarity with data & AI security, data regulations, data privacy requirements
Proactive, solution-oriented mindset, strong sense of ownership
Strong English communication and presentation skills, German is a plus
Interest in finance and fintech industry and a sense of humor.
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