Engineering Manager - AI Engineering & AI Platform (m/f/x)

Scalable

Berlin, DEhybridPosted Jul 9, 2026
Posting intelligenceActively listedReposted 34×, possible evergreen/ghost posting

Skills

terraformdatadogdockerpythonopenaicicdawsllm

About the role

Company Description

Scalable Capital is a leading digital investment and banking platform with a full banking licence, empowering people across Europe to shape their own finances. Scalable Broker makes it easy and affordable for clients to invest professionally in stocks, ETFs, cryptocurrencies, and derivatives, as well as 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 banks and other B2B partners. The company’s offerings are rounded off by attractive interest rates, loans, and private equity. With the European Investor Exchange, Scalable Capital offers an exchange specifically for retail investors. Over one million clients have already entrusted more than €30 billion to the platform.

Founded in 2014, Scalable Capital now employs over 700 people across Munich, Berlin, Vienna, Milan, and London. Together with the founding and management team, including 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

Shape the future of our AI Engineering and AI Platform capabilities within the Data Science and AI tribe. We are building a new team of AI Software Engineers and AI Platform Engineers to bring AI use cases into production at scale.

We are looking for a passionate and motivated Engineering Manager to lead this newly formed team. As the EM, you will play a key role in turning AI concepts, data science ideas, and business opportunities into scalable backend systems, cloud-native architectures, agentic workflows, and internal AI platform services.

We are not training models from scratch. Instead, your team will integrate modern AI capabilities via APIs from providers such as OpenAI, Anthropic, Google, and others, and build the platform foundation required to use them securely, reliably, and cost-effectively.

Build and lead a new AI Engineering and AI Platform team, helping engineers grow and the team become self-organized, agile, and autonomous

Provide technical direction for AI/LLM services, backend systems, AWS architectures, Terraform infrastructure, CI/CD pipelines, and agentic workflows

Drive the end-to-end implementation of AI use cases, from ideation and technical scoping to delivery, rollout, monitoring, and maintenance

Shape our internal AI platform for model access, MCP server integrations, observability, governance, rate limiting, and cost management

Work closely with Data Science, Product, Engineering, Security, Platform, and business stakeholders to identify and deliver high-value AI use cases

Establish engineering best practices for reliable, secure, maintainable, and production-grade AI systems

Be part of the recruitment process to attract and onboard new colleagues for the team

Qualifications

A university degree in a relevant field, such as Computer Science, Software Engineering, Mathematics, Natural Sciences, or a comparable qualification

Previous experience in software engineering, backend engineering, platform engineering, cloud engineering, or AI engineering

Experience leading engineers as an Engineering Manager, Team Lead, Tech Lead, or in a comparable role

Strong understanding of scalable backend systems, cloud-native architectures, API design, and modern software development practices

Good knowledge of modern AI system integration, including LLM APIs, agentic workflows, and production-grade AI services

Hands-on experience with Python, Docker, CI/CD pipelines, cloud infrastructure, and Infrastructure as Code, preferably AWS and Terraform

Understanding of AI platform topics such as observability, governance, data privacy, rate limiting, cost management, and secure LLM usage

Passion for people development, technical excellence, and building high-performing engineering teams

Strong analytical thinking, both in the technical and business domain

Excellent communication skills that are clear, concise, and tailored to engineering, product, and business stakeholders

Extreme sense of ownership and a pragmatic, hands-on mentality

Experience with LangGraph, LiteLLM, Langfuse, Datadog, MCP servers, or similar technologies is a plus

Additional Information

Be part of one of the fastest-growing and most visible Fintech startups in Europe, creating innovative services that have a substantial impact on the lives of our customers

Work with an international, diverse, inclusive, and ever-growing team that loves creating the best products for our clients

Be productive with the latest hardware and tools

Learn and grow by joining our in-house knowledge sharing or career development sessions and spending your individual Education Budget

Learn and experience German culture first hand by joining our free German language classes

International relocation support is provided if required

Opportunity to work from abroad

Benefit from an attractive compensation package and from the company pension scheme

Monthly contribution of 50% for the ‘Deutschland Jobticket’

Say goodbye to order commissions and say hello to your complimentary subscription of Scalable Capital's PRIME+ Broker

Enjoy flexible and discounted sports activities with Urban Sports Club

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