AI Engineer (m/f/d)

Smartbroker AG

Berlin

On-site

EUR 85,000 - 120,000

Full time

14 days+

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Benefits offered by this job

Office in Berlin-Kreuzberg
Flat hierarchies
Diversity & inclusion

Job summary

Smartbroker is expanding its Data, AI & MarketingTech team and seeks AI Engineers to drive GenAI use case development for client features and internal efficiency. You will work at the core of GenAI implementation, collaborating with product engineering to shape data-driven services.

You bring deep knowledge of AI, ML, LLMs and cloud platforms (GCP/AWS), strong Python/SQL skills, and a proactive ownership mindset to deliver scalable AI solutions across the organization.

Qualifications

  • University degree in a technical field (CS, business informatics, natural sciences, or similar).
  • Expert knowledge of GenAI 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

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

Skills

Python
SQL
Java
Cloud platforms
English communication

Education

University degree in CS or related field

Tools

OpenAI
LangChain
Langfuse
CI/CD tools

Job description

Your mission

For our significantly growing Data, AI & MarketingTech Department, we are looking for several AI Engineers. Our new data team is established to focus on GenAI use case development for client facing product features as well as for increasing efficiencies of internal processes among other data related topics.As AI Engineer you are playing a pivotal role in Smartbroker’s data & AI journey. You will work at the core of GenAI implementation at the intersection of business, data, and technology, drive innovation and data & AI adoption throughout the organization. Our GenAI use cases are focused on generating significant business value through the usage of most modern AI technologies.

Job 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
Your profile
  • 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
About Us

Among other things, the Smartbroker Group operates Smartbroker+ - a multi-award-winning online broker that is the only provider in Germany to combine the extensive product range of traditional brokers with the extremely favourable conditions of neobrokers. The portfolio also includes the digital fund broker SMARTBROKER Finance (formerly: FondsDISCOUNT.de), while the Group also operates four high-reach stock market portals (wallstreet-online.de, boersenNews.de, FinanzNachrichten.de and ARIVA.de). With several hundred million monthly page impressions, the Group is the largest independent financial portal operator in the German-speaking world and also maintains the largest financial community. The company is one of the pioneers of digital investment. For more than 25 years, we have been committed to breaking down the barriers to investing and enabling user-friendly and cost-effective investment processing. Our employees are the key to this success. Due to our strong growth momentum, we have created numerous attractive jobs in recent years. Every day, we strive to build the best team and give our employees the space to develop themselves in the best possible way. A diverse team of top performers ensures that we all learn something new every day. From a small team of around 20 people, we have now grown into a company with around 260 employees (as of 31 December 2023), based in a modern office in Berlin-Kreuzberg. We see ourselves as an innovative fintech that is embedded in a successful group of companies and thus combines a personal working atmosphere with the advantages of a financially strong public limited company. We rely on flat hierarchies, individual development and agile processes in all parts of the company. We are proud of the personal cohesion within the team and the above-average length of service of many employees. We are committed to diversity and equal opportunities. We strive to build a team that represents a variety of backgrounds, perspectives and skills. The more inclusive we are, the better our work and our team will be.

We encourage women, non-binary and transgender people as well as all members of the LGBTQI+ community, people from marginalised ethnic backgrounds and people with visible or non-visible disabilities to apply if they are looking for an inclusive, diverse and safe working environment.

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