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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in designing and deploying AI agents and systems, with a strong focus on LLMs and transformer-based models. Proficient in building production-grade AI applications and optimizing them for performance and scalability in enterprise environments.
Highest-signal resume keywords
AI EngineeringPython ProficiencyLLM DevelopmentMulti-Agent SystemsRAG Pipeline Design
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
AI Application DevelopmentMachine LearningTransformer ModelsFine-Tuning LLMsDocument UnderstandingInformation ExtractionEntity ResolutionGPU-Based InferenceMultilingual NLPProduction Deployment
Soft Skills
CollaborationProblem-SolvingTeamwork
Tools & Technologies
Hugging FaceAI ServicesAgentic WorkflowsStructured DataUnstructured Data
Industry Keywords
SaaS ProductsEnterprise DataSupply-Chain DataESG DataCompliance Data
Tech Stack
Tools & technologiesPython
About the role
Key responsibilities & impact- Design, build, and deploy AI agents and agentic systems for global SaaS products
- Develop LLM-powered services and multi-agent architectures enabling models, tools, and data sources to work together across complex workflows
- Build, fine-tune, and deploy open-source LLMs and transformer-based models for intelligent search, entity resolution, information extraction, and document understanding
- Design and operate RAG pipelines and AI services using structured and unstructured enterprise data
- Own AI solutions end-to-end, from experimentation and model selection through deployment, monitoring, optimization, and production operation
- Collaborate with a talented, forward-thinking team in Mannheim
Requirements
What you’ll need- At least 5 years of professional experience in AI, Machine Learning, or AI Engineering
- Strong proficiency in Python and hands-on experience building production-grade AI applications
- Practical experience with LLMs and transformer-based models, ideally including open-source ecosystems such as Hugging Face
- Hands-on experience building AI agents or agentic workflows; experience with multi-agent systems is highly valued
- Experience with RAG, tool/function calling, structured outputs, and retrieval/search architectures
- Experience taking AI applications beyond PoCs into production environments, including deployment, monitoring, scalability, and performance optimization
- Experience fine-tuning or adapting LLMs/transformer models for specific domains or tasks
- Experience self-hosting open-source models and working with GPU-based inference infrastructure
- Experience with multilingual NLP and large-scale document processing
- Experience working with enterprise, supply-chain, ESG, or compliance data
Benefits
Comp & perks- A purpose-driven mission with and for global industry pioneers in tackling complex challenges
- Room for creativity through collaborative teamwork and an open communication culture
- Flexibility and team bonding with our hybrid work options
- Fuel for your growth journey, both personally and professionally
- Sustainable mobility options, promoting eco-friendly commuting solutions
- Fun team events and outings with our global teams
- Inspiring workspaces in Mannheim and beyond