Senior AI Engineer (m/f/d)
Tasks
- Analyze telemetry and improve AI quality
- Architect production grade LLM capabilities
- Build LLM powered features for customer products
- Build agent and tool calling systems
- Design reusable AI engineering components
- Develop backend services and APIs for AI
- Establish evaluation frameworks for LLMs
- Implement RAG with embeddings and vector search
- Integrate AI orchestration into workflows
- Investigate production issues and implement fixes
- Optimize latency reliability and scalability
- Prototype and validate new AI ideas for production
- Set up observability and monitoring for AI
Perks/Benefits
- Home office setup budget
- Learning and development budget
- Relocation support
- Visa support
- Work from home
Skills/Tech-stack
AI orchestration | API Development | AWS | Agentic Systems | Angular | Backend Development | CI/CD | Caching | Context Management | Distributed Systems | Docker | Embeddings | Evaluation | Fallback strategies | Guardrails | Infrastructure integration | JavaScript | LLM APIs | Language Models | Large Language Models | Latency optimization | Moderation | Monitoring | Node.js | Observability | Prompt and Context Management | Prompt engineering | Python | RAG | Reliability Engineering | Routing | Scalability | Telemetry | Tool-Calling | TypeScript | Vector Search
Education
N/A
Roles
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