AI Developer with Python for Customer Care AI Platform team (hybrid)
Tasks
- Build RAG pipelines for low latency responses
- Build secure integration with internal services via MCP
- Build speech to speech streaming pipelines
- Design agentic workflows with LLM tool usage
- Develop evaluation driven prompt and model improvements
- Implement automated QA evaluation for LLM systems
- Integrate and orchestrate LLMs with hybrid model strategy
- Optimize latency and conversational flow
Perks/Benefits
Skills/Tech-stack
Agent systems | Asyncio | Context Augmented Generation | Elasticsearch | Embeddings | Event Driven | Event-driven architecture | FastAPI | JavaScript | LLM orchestration | LLM-as-a-Judge | Langchain | Langgraph | Llamaindex | Model Context Protocol | Multi-Agent | Multi-Agent Systems | OAuth2 | PGVector | Prompt engineering | Python | Qdrant | REST | Re-ranking | Retrieval-Augmented Generation | Semantic Search | Streaming APIs | Vector Databases | Weaviate
Education
N/A
Roles
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