Senior AI Engineer (m/f/d)
Tasks
- Architect LLM capabilities
- Build LLM backend services and APIs
- Deploy and maintain production AI workflows
- Develop RAG features with vector search
- Establish evaluation frameworks for LLMs
- Implement agents and tool calling
- Investigate production issues and optimize models
- Monitor AI quality latency reliability scalability cost
- Prototype validate and productionize AI features
- Set up observability monitoring and feedback loops
Perks/Benefits
- Career growth opportunities
- Home office setup budget
- International multicultural environment
- Learning and development budget
- Visa and relocation support
- Work from home
Skills/Tech-stack
AI orchestration | API Design | AWS | Agent systems | Amazon Web Services | CI/CD | Caching | Context Management | Distributed Systems | Docker | Embeddings | Evaluation | Fallback strategies | LLM APIs | Language Models | Large Language Models | Monitoring | Observability | Prompt management | Retrieval-Augmented Generation | Routing | Telemetry Analysis | Tool-Calling | Vector Databases | Vector Search | Web Services
Education
N/A
Roles
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