Senior AI Software Engineer (f/m/d)

We’re building a product that helps investors make better decisions by combining real-time market data, news and GenAI into a product used daily by investors.
We’re looking for a Senior AI Software Engineer with strong Python and AWS experience who enjoys taking ownership and shipping products end-to-end. You’ll work primarily with Python, FastAPI, GenAI and AWS, building scalable backend services, AI-powered features and data pipelines. You'll make real architectural decisions, like knowing when an LLM beats a well-tuned ML model or a simple heuristic, and own features from idea through production. We move fast, keep things pragmatic and give engineers a lot of ownership.

Responsibilities 

• Build and ship AI-powered, full-stack products from idea to production.
• Develop scalable backend services with Python & FastAPI.
• Design, deploy and operate production systems on AWS.
• Drive architecture and technical decisions and contribute to code reviews.
• Build practical GenAI solutions and evaluate where LLMs actually add value.
• Use AI coding tools such as Claude or Codex to improve development workflows.
• Own reliability, observability and performance of what you build.

• Senior-level Software Engineering experience with a strong track record of shipping production software.
• Practical experience with GenAI and AI-assisted development.
• Experience in a startup, scale-up or similarly fast-moving environment.
• Strong end-to-end ownership: you take problems from architecture → code → deployment → production.
• Pragmatic engineering mindset: build simple solutions, ship fast, iterate.
• Strong communication skills and the ability to make independent technical decisions.
• Strong Python skills — Python is central to this role.
• Hands-on AWS experience or similar cloud provider — this is essential.
• Experience with FastAPI, cloud architecture and production systems.

Nice to Have 

• Terraform / Other Infrastructure as Code
• TypeScript / Angular / React
• Microservices & data pipelines
• Experience with finance, markets, trading or investment products