Senior AI Engineer (m/f/d)
Tasks
- Architect LLM capabilities for production
- Build backend services and APIs for AI features
- Collaborate with Product and ML teams
- Develop deploy maintain LLM features
- Establish evaluation framework for AI systems
- Implement RAG embeddings vector search
- Implement agents and tool calling
- Investigate production issues using telemetry
- Monitor and optimize quality latency reliability scalability and cost
- Prototype validate and productionize AI experiments
- Set up observability monitoring and feedback loops
Perks/Benefits
- Home office setup budget
- International multicultural environment
- Learning and development budget
- Visa and relocation support
- Work from home
Skills/Tech-stack
API Development | AWS | Agents | Angular | Azure | CI/CD | Caching | Context Management | Distributed Systems | Docker | Embeddings | Evaluation | Fallback strategies | GCP | Guardrails | JavaScript | LLM APIs | LLM orchestration | Moderation | Monitoring | Node.js | Observability | Prompt engineering | Python | RAG | Routing | Safety checks | Telemetry | Tool-Calling | TypeScript | Vector Database | Vector Search
Education
N/A
Roles
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