Lead AI Engineer / Architect (m/w/d) - Agentic Systems
Tasks
- Analyze errors and quality metrics
- Build ML pipelines
- Build local LLM inference clusters
- Conduct automated benchmarking
- Create deterministic routing logic
- Deploy and operate ML models end to end
- Design AI system architecture
- Develop MCP servers
- Develop machine learning models
- Evaluate open-source tools
- Implement agentic loops
- Implement monitoring for data drift
- Integrate LLMs with document interpretation
- Orchestrate multi-agent systems
- Perform model retraining
- Run asynchronous model evaluation
- Scale ML solutions across sites
Perks/Benefits
- Bare Metal GPU Cluster Access
- Company bike leasing
- Company events
- Employer Subsidy
- Flexible work hours
- Free drinks
- Mobile working
- Onsite cafeteria
- Subsidized Deutschland ticket
- Team events
- Training opportunities
- Unrestricted employment
- Workplace pension
Skills/Tech-stack
API Integration | Agent systems | Benchmarking | Computer Vision | Data Drift | Data drift monitoring | Deep learning | Drift monitoring | Huggingface | KV cache | LLM-as-a-Judge | Langchain | Langgraph | Language Models | Language Processing | Large Language Models | MLOps | MLflow | Machine Learning | Multi-Agent | Multi-Agent Systems | NVIDIA TensorRT | Natural Language | Natural Language Processing | Prompt engineering | PyTorch | Python | Quantization | Retraining | State machines | TGI | Tensor Parallelism | VLLM | Weights and Biases
Education
N/A
Roles
AI | AI Architect | AI Engineer | Architect | Engineer | Lead | Lead AI Engineer | Learning Engineer | Machine Learning Engineer
Regions
Countries
States
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