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About the Role
Help shape the architecture and long-term strategy of our AI platform, including the use of LLMs, RAG pipelines, and Agentic AI. Design, build and deploy AI solutions that improve product data intelligence, from auto-tagging and attribute extraction to content generation. Architect multi-agent systems that orchestrate specialized AI agents across complex, multi-step workflows. Design, build, and maintain robust data pipelines and processing workflows for both structured and unstructured product data. Optimize system performance and scalability while maintaining high code quality.
Responsibilities
- Help shaping the architecture and long-term strategy of our AI platform, including the use of LLMs, RAG pipelines, and Agentic AI.
- Design, build and deploy AI solutions that improve product data intelligence, from auto-tagging and attribute extraction to content generation.
- Architect multi-agent systems that orchestrate specialized AI agents across complex, multi-step workflows.
- Design, build, and maintain robust data pipelines and processing workflows for both structured and unstructured product data.
- Optimize system performance and scalability while maintaining high code quality.
Requirements
- Master’s degree in Data Science, Computer Science, or a related field.
- 5+ years of hands-on experience in building and deploying production-grade AI solutions using Python.
- Strong expertise in traditional machine learning combined with hands-on experience in modern LLM-based solutions.
- Solid knowledge of relational and vector databases, such as PostgreSQL and pgvector.
- Proven experience in setting up and operating open-weight LLMs (e.g., Llama, Mistral), including inference optimization.
- A practical, solution-oriented mindset with the ability to translate complex data challenges into scalable AI solutions.
- A proactive, solution-oriented mindset, strong communication skills, and comfort working in dynamic environments (German B2 level required).
Skills
- Python
- Machine learning
- LLM-based solutions
- Relational databases
- Vector databases
- PostgreSQL
- pgvector
- Open-weight LLMs
- Llama
- Mistral
- AWS
- REST APIs
- Microservices
- MLOps practices
Location
- Berlin-Mitte
Work Type
- Hybrid
Experience Level
- 5+ years of hands-on experience
Education Level
- Master’s degree
Benefits
- Flexible working hours
- Modern workplace (mobile)
- Freedom to help shape own area of responsibility
- Attractive compensation package
- 30 days of vacation
About the Company
- eClear AG is a banking-regulated payment facilitator providing EU-wide customs and VAT clearing as an embedded checkout-solution for e-Commerce marketplaces and digital platforms.
- With our software products and services, all tax, customs and payment processes in cross-border online trade are automated and significantly simplified.
Equal Opportunity
- We consider all qualified applicants for employment at eClear, regardless of race or national origin, religion or belief, gender or gender identity, sexual orientation, age or marital status.
- In the case of equal suitability, applicants with a severe disability will be given preference.