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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in developing agentic AI systems and production-ready GenAI solutions, with a strong focus on integrating AI components into enterprise systems and ensuring software quality through testing and monitoring. Proficient in cloud platforms and automation tools, with a commitment to measuring AI system quality and results.
Highest-signal resume keywords
Python ProgrammingAgentic AI FrameworksAPI DevelopmentInfrastructure as CodeCloud Platform Experience
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Software DevelopmentLLM-Based ApplicationsRAG PipelinesDocument ExtractionTest AutomationError HandlingSystematic Root-Cause AnalysisMultimodal ModelsContainersCI/CD
Soft Skills
CollaborationKnowledge SharingDocumentation
Tools & Technologies
DatabricksSnowflakeMicrosoft FabricKafkaTerraformGitLab CIGitHub ActionsAzure DevOpsAWSGoogle Cloud
Certifications & Qualifications
Cloud CertificationsAI Certifications
Industry Keywords
Regulated IndustriesOpen-Weight ModelsSovereign CloudOCRLayout Analysis
Tech Stack
Tools & technologiesAWSAzureCloudJavaKafkaPythonTerraform.NET
About the role
Key responsibilities & impact- Build agentic AI systems that understand documents, support decision-making, and execute actions in enterprise systems
- Develop production-ready GenAI and agentic AI solutions that plan tasks, use tools, and prepare or execute enterprise actions
- Build RAG pipelines and extraction logic to structure and validate information from documents, emails, and forms
- Connect data and streaming platforms such as Databricks, Snowflake, Microsoft Fabric, and Kafka to AI applications
- Develop robust backends and APIs
- Integrate AI components into existing system landscapes through REST, events, or MCP
- Make AI output quality measurable through automated evaluations, guardrails, tracing, and human-in-the-loop workflows
- Ensure software quality through testing, code reviews, logging, and monitoring
- Use AI-assisted development tools in daily work
- Automate infrastructure and deployments with Infrastructure as Code and CI/CD on AWS, Azure, Google Cloud, sovereign, or on-premises platforms
- Collaborate with architects, business stakeholders, and client teams
- Document designs and interfaces clearly
- Share knowledge within the team
Requirements
What you’ll need- Degree in computer science, business informatics, data science, mathematics, engineering, or a comparable field, or an equivalent qualification gained through professional experience
- At least 5 years of professional experience in software development
- Minimum 1–2 years of hands-on experience with LLM-based applications beyond the prototype stage
- Excellent Python skills
- Proficiency in at least one additional enterprise technology language: Java, C#, or .NET
- Experience developing APIs and interfaces
- Hands-on experience with agentic AI frameworks such as LangGraph, LlamaIndex, Pydantic AI, or model-provider agent SDKs
- Experience with RAG, vector databases, and MCP
- Practical experience with at least one cloud platform: AWS, Microsoft Azure, or Google Cloud
- Experience with containers and Infrastructure as Code, such as Terraform
- Experience with CI/CD, such as GitLab CI, GitHub Actions, or Azure DevOps
- Experience with test automation, error handling, and systematic root-cause analysis
- Strong commitment to measuring AI system quality and results
- Business-fluent German at least C1
- Very good English skills
- Experience with open-weight models and their operation, fine-tuning, or sovereign cloud environments is an advantage
- Experience with document and information extraction, OCR, layout analysis, and multimodal models is an advantage
- Experience in regulated industries is an advantage
- Cloud or AI certifications are an advantage
Benefits
Comp & perks- Individually tailored career development opportunities through the PERSONAL GROWTH MODEL
- Over 200 training days per year in the Academy
- Certification courses
- German classes
- Coaching & Leading leadership culture
- Flexible mobile/remote working through the Mobile Work Policy
- Tailored vacation days increasing annually based on seniority, up to 30 days
- Flexible working hours
- Private health insurance
- Monthly flexible benefits funds usable for meal tickets, gift vouchers, cultural vouchers, holiday vouchers, and sports club subscriptions
- Mindfulness training and regular exchange through the Mindfulness Community
- Networking and celebratory events