AI Software Engineer – Python (m/f/x) at Scalable GmbH
May no longer be active — verify on the employer site
At a glance
- Company
- Scalable GmbH
- Location
- Berlin, Germany
- Work arrangement
- Hybrid
- Employment type
- Full-time
- Experience
- 2–5 years
- Working hours
- 40 hours
- Visa sponsorship
- Offered, according to the listing
- Posted
- Added to The Stack
✨ The Stack take on this Scalable GmbH job
- 🏢 Scalable GmbH has 242 jobs here, 240 with visa sponsorship see all
- 🛂 Visa: EU Blue Card. Minimum salary: €50,700 a year guide
- 💡 No salary shown. Ask Scalable GmbH if it is above the minimum.
Updated 2026-11-05, from our data and official sources.
Apply for this role at Scalable GmbH
Apply with your AI assistant
With The Stack connected to Claude, ChatGPT or Cursor, paste this. Your assistant tailors your CV and cover letter, checks the visa facts and gives you the apply link.
Help me apply to this job on The Stack: https://jobs.trythestack.co/jobs/ai-software-engineer-python-mfx-scalable-gmbh
Not connected yet? Connect in a minute. To help your user apply, call the MCP tool prepare_application with slug "ai-software-engineer-python-mfx-scalable-gmbh": it returns the apply link, the visa facts and a CV and cover letter checklist. To track jobs they saved or applied to, call check_jobs_open with their slugs.
About the role
Responsibilities:
- Design and implement production-grade AI/LLM services and backend APIs using Python.
- Build cloud-native solutions on AWS and extend Terraform infrastructure and CI/CD pipelines.
- Implement agentic workflows and orchestration (e.g., LangGraph) to support intelligent features.
- Add testing, monitoring and observability to ensure reliability, performance and correctness.
- Collaborate with Data Science, Product and Platform teams for successful integration and rollout.
- Keep up with AI integration patterns, tooling and best practices to improve platform capabilities.
Requirements:
- Bachelor’s or Master’s in Computer Science, Software Engineering or equivalent experience.
- Several years of professional Python development experience and strong backend engineering skills.
- Practical experience with AWS, Terraform, Docker and CI/CD pipelines.
- Familiarity with LLM APIs, agentic workflow frameworks and integrating AI services into products.
- Good testing, monitoring and debugging skills; strong collaboration and communication abilities.
Responsibilities
You will design and build scalable, production-grade backend systems and APIs that integrate modern AI capabilities into real-world applications. Additionally, you will manage cloud infrastructure, develop AI/LLM services, and implement intelligent agentic workflows.
Requirements
The role requires a Bachelor's or Master's degree in Computer Science or a related field and several years of professional Python development experience. Candidates must have a strong background in cloud infrastructure, CI/CD pipelines, and modern AI orchestration frameworks.
Key skills
- Python — in 1200 other listings on The Stack
- AWS — in 802 other listings on The Stack
- Terraform — in 470 other listings on The Stack
- Docker — in 464 other listings on The Stack
- CI/CD — in 630 other listings on The Stack
- LangGraph — in 29 other listings on The Stack
- LLM services — in 9 other listings on The Stack
- Cloud architecture — in 80 other listings on The Stack
- Backend engineering
- Agentic AI
- API integration
- Infrastructure as Code
- System monitoring
- Software engineering best practices
On The Stack (as of 2026-11-05)
Frequently asked questions about Scalable GmbH
Is this AI Software Engineer – Python (m/f/x) role still open?
It was posted on 2026-07-29. Listings more than 30 days old may no longer be active, so check Scalable GmbH's site before applying.
Does Scalable GmbH offer visa sponsorship?
This listing is marked as offering visa sponsorship. Eligibility rules are set by the employer, so check the details on Scalable GmbH's site.
Where is this role located?
The listing gives the location as Berlin, Germany. It is marked hybrid.
What skills does this role ask for?
The listing names: Python, AWS, Terraform, Docker, CI/CD, LangGraph, LLM services, Cloud architecture, Backend engineering, Agentic AI, API integration, Infrastructure as Code, System monitoring, Software engineering best practices.