AI Engineer (m/w/d)
Tasks
- Build LLM applications
- Create evaluation frameworks
- Develop agent-based systems
- Develop and maintain scalable AI services
- Develop chatbots
- Ensure performance and reliability in production
- Implement RAG systems
- Implement guardrails and safety controls
- Integrate LLM solutions into existing systems
- Measure model quality reliability performance
Perks/Benefits
- Company events
- Family support programs
- Flexible working hours
- Home office option
- Meal subsidy
- Onsite childcare
- Parking
- Partial home office
- Public transit ticket reimbursement
- Sports program
Skills/Tech-stack
Agent Frameworks | Agent systems | Application development | CI/CD | Chatbots | Container Orchestration | Continuous integration | CrewAI | Guardrails | Hybrid search | Kubernetes | LLM Application Development | LLM application | Langchain | Langgraph | Language Models | Large Language Models | Llamaindex | MLOps | Milvus | Multi-Agent | Multi-Agent Systems | Python | Qdrant | Retrieval-Augmented Generation | Safety controls | Semantic Search | Vector Databases
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
AI | AI Engineer | Engineer | Learning Engineer | Machine Learning Engineer
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