Senior AI Software Engineer – Python (m/f/x) (onsite / remote in Germany) at Scalable GmbH
10405 Berlin, , Germany -
Full Time


Start Date

Immediate

Expiry Date

11 Nov, 25

Salary

0.0

Posted On

12 Aug, 25

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Code, Computer Science, Python, Aws, Infrastructure, Docker

Industry

Computer Software/Engineering

Description

Company Description
Scalable Capital is a leading digital investment platform in Europe. The company empowers everyone to shape their financial future. Scalable Broker makes it easy and affordable for clients to invest professionally in stocks, ETFs and other exchange-traded products and set up savings plans. Scalable Wealth, the digital wealth management service, offers clients professional investment in ETF portfolios and is also adopted as a white-label solution by renowned B2B partners. With the European Investor Exchange (EIX) Scalable Capital offers a stock exchange for retail investors in Europe. Over 27 billion euro is held on the platform by more than one million clients.
Scalable Capital was founded in 2014 and employs more than 500 people at its offices in Munich, Berlin, Vienna, and London. Together with the founding and management team around Erik Podzuweit and Florian Prucker, they are working on a new generation of financial services.
Visit our finance blog or check out our Social Media channels to find out what our Expert Teams have to say.
Our Company Values guide us every day in how we work and collaborate. To learn more about them, you can find our values here (English).
Job Description
As a Senior Software Engineer in our Data Tribe, you will help design and deliver scalable backend and cloud systems that power our AI-driven products and services.
You will design and build scalable, production-grade systems and APIs, with a focus on integrating modern AI capabilities (via APIs from OpenAI, Anthropic, Google, etc.) into real-world applications.
We are not training models from scratch — instead, you will work on agentic AI systems, orchestration workflows, and cloud-native architectures that bring AI into production at scale. In this newly formed work stream, you will have the unique opportunity to lay the foundations and set the right technical direction.

Responsibilities:

  • Develop and maintain AI/LLM services for internal and potential client-facing services, following software engineering best practices
  • Design and develop appropriate architectures for deploying and maintaining scalable AI-enabled solutions on AWS
  • Extend our terraform infrastructure and CI/CD pipelines
  • Design and implement testing and monitoring components to ensure the accuracy, reliability, and performance of AI-integrated systems
  • Work with modern agentic workflow orchestration frameworks (e.g., LangGraph) to build intelligent workflows
  • Collaborate with cross-functional teams to ensure the successful integration of AI-driven features into our product
  • Stay up to date with the latest industry developments in AI integration, cloud architecture, and scalable backend systems

QUALIFICATIONS

  • Bachelor’s or Master’s degree in Computer Science, Software Engineering, or a related field
  • 3+ years of professional software development experience with Python
  • A generalist mindset with the ability to quickly learn, adapt to new topics, and switch between domains such as infrastructure and backend engineering
  • Experience with Docker, building CI/CD pipelines, and version control systems
  • Confidence in working with cloud infrastructure (AWS preferred) and Infrastructure as Code (Terraform)
  • Familiarity with modern agentic workflow orchestration frameworks (e.g., LangGraph) would be a plus
  • Strong problem-solving skills, organizational skills, and a hands-on mentality
Responsibilities
  • Develop and maintain AI/LLM services for internal and potential client-facing services, following software engineering best practices
  • Design and develop appropriate architectures for deploying and maintaining scalable AI-enabled solutions on AWS
  • Extend our terraform infrastructure and CI/CD pipelines
  • Design and implement testing and monitoring components to ensure the accuracy, reliability, and performance of AI-integrated systems
  • Work with modern agentic workflow orchestration frameworks (e.g., LangGraph) to build intelligent workflows
  • Collaborate with cross-functional teams to ensure the successful integration of AI-driven features into our product
  • Stay up to date with the latest industry developments in AI integration, cloud architecture, and scalable backend system
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