Sr. Applied AI/ML Scientist
Core
Build and ship production LLM-powered agentic workflows, retrieval systems, and evaluation frameworks for real-time news processing and intelligence generation.
Role type
Senior Applied AI/ML Scientist (LLM Systems & Agentic Workflows)
Builds
Ambient and interactive agent systems, LLM-powered content enrichments, semantic search infrastructure, and evaluation frameworks for news intelligence.
Domain
Media intelligence, real-time news processing, and applied LLM systems.
Deliverable
production ML models | product features
Required skills
LLM APIs and transformer techniques, embedding models and similarity search, vector databases, prompt engineering, LLM evaluation frameworks, LLMOps, backend engineering (Python), architectural trade-off analysis, technical mentorship.
Preferred skills
AI orchestration frameworks (LangChain, LlamaIndex, LangGraph), Model Context Protocol (MCP), agentic workflows, semantic search systems, cloud platforms, media analytics background.
Technologies
Python, OpenAI, Anthropic, Langfuse, Datadog, ChromaDB, Pinecone, Weaviate, LangChain, LlamaIndex, LangGraph, MCP.
Responsibilities
Architect and deliver production agentic workflows (ambient and interactive), design LLM-powered content enrichments, lead technical direction for tool-augmented LLM systems, drive quality evaluation and observability, evolve embedding and semantic search infrastructure, partner with Product/UX on feature delivery.
Seniority
Senior, hands-on IC with architectural leadership