AI Developer with Python for Customer Care AI Platform team (hybrid)
Tasks
- Build and optimize CAG pipelines
- Build and optimize RAG pipelines
- Build automated QA and evaluation modules
- Design agentic workflows with LLMs
- Design secure tool invocation via MCP
- Develop real time speech to speech pipelines
- Implement LLM as a judge
- Integrate LLM models and orchestration frameworks
- Optimize vector search and re ranking
- Reduce latency in streaming speech pipelines
Perks/Benefits
- 25 vacation days
- Flexible work schedule
- Hybrid work option
- Meal tickets
- Medical services
- Team events
- Training budget
Skills/Tech-stack
Agent systems | Asyncio | Context Augmented Generation | Elasticsearch | Embeddings | Event Driven | Event-driven architecture | FastAPI | JavaScript | LLM orchestration | Latency optimization | Model Context Protocol | Multi-Agent | Multi-Agent Systems | OAuth2 | PGVector | Python | Qdrant | RAG Pipelines | REST API | Reranking | Retrieval-Augmented Generation | Semantic Search | Speech-to-speech | Streaming APIs | Time to First Word | Vector Databases | Weaviate
Education
N/A
Roles
AI | AI Engineer | Engineer | Learning Engineer | Machine Learning Engineer
Regions
Countries
States
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