AI Engineer

🕒 March 28

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Smartbroker AG

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2004

💸 Finance

💳 Fintech

₿ Crypto

Finance • Fintech • Crypto

Smartbroker AG is a comprehensive online brokerage platform based in Germany that offers investors a wide range of financial products and trading options. The platform provides access to over 40,000 stocks, 40,000 bonds, 2,500 ETFs, 18,000 funds, and more than 4. 6 million derivatives, as well as the ability to invest in cryptocurrencies like Bitcoin and Ethereum. Smartbroker AG also offers interest-bearing deposit accounts and provides users with various trading tools, order types, and features to optimize their portfolio management. With an emphasis on cost-effectiveness, Smartbroker AG caters to both beginner and experienced investors, allowing them to trade across multiple domestic and international trading venues using a mobile app or web interface. The service is characterized by competitive pricing, a broad selection of asset classes, and a commitment to delivering a seamless and intuitive user experience.

📋 Description

• 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.

🏖️ Benefits

• Flexible work arrangements • Professional development opportunities