Sr. Applied AI/ML Scientist
Core
Build and ship production LLM-powered agentic workflows, retrieval systems, and content enrichment features for real-time news intelligence used by journalists and PR leaders.
Role type
Senior Applied AI/ML Scientist (LLM Systems & Agentic Workflows)
Builds
Ambient and interactive agentic workflows, LLM-powered content enrichments, semantic search infrastructure, and evaluation frameworks for news intelligence.
Domain
Media intelligence, real-time news processing, and large-scale text analytics.
Deliverable
production ML models | product features
Required skills
Backend engineering (Python), Large Language Model APIs and transformer techniques, Embedding models and similarity search, Vector databases, Prompt engineering and structured output, LLM evaluation frameworks, LLMOps practices, System architecture and 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, Open-weight models, ChromaDB, Pinecone, Weaviate, Langfuse, Datadog, LangChain, LlamaIndex, LangGraph, MCP.
Responsibilities
Architect and deliver production agentic workflows (ambient and interactive), define structured prompting standards and output schemas, set evaluation benchmarks and guardrails for hallucination reduction, evolve embedding and semantic search infrastructure, lead technical design discussions and mentor engineers.
Seniority
Senior, hands-on IC with architectural leadership