Sr. Applied AI/ML Scientist (B2B)
Core
Build and ship production LLM-powered agentic workflows, retrieval systems, and evaluation frameworks for real-time news intelligence used by journalists and PR leaders.
Role type
Senior Applied AI/ML Scientist (LLM Applications)
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
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-offs, mentoring engineers.
Preferred skills
AI orchestration frameworks (LangChain, LlamaIndex, LangGraph), Model Context Protocol (MCP), tool-calling architectures, 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, set evaluation standards and guardrails for hallucination reduction, evolve embedding and semantic search infrastructure, partner with Product/UX on feature delivery, mentor engineers.
Seniority
Senior, hands-on IC