The role

Architect the core intelligence behind Scout
- Own the end to end architecture of our sourcing engine from data ingestion, ranking, personalization, and model orchestration.
- Define scalable frameworks for retrieval, reranking, and LLM driven evaluation to ensure we deliver highly personalized and high quality results.
- Create architectural patterns that integrate Scout seamlessly with our existing products to power repeatable sourcing workflows.
Lead agentic experimentation and evaluation
- Drive technical discovery for emerging technologies (e.g. memory systems, schema, prompt libraries, embedding models, and agentic frameworks).
- Improve and extend our evaluation pipelines to test new models and determine lifts in specific parts of our product.
- Build systems that allow fast iteration without compromising quality or reliability. Our priorities are reliability, performance, cost, and then developer productivity.
Shape AI native product experiences
- Partner with product and design to define patterns that make LLM powered sourcing intuitive and fast.
- Translate ambiguous product goals into scalable technical designs that unblock new workflows for our users.
- Establish best practices for building AI-first UX patterns (agentic flows, async interactions, structured outputs).
Provide architectural leadership across engineering
- Mentor and guide engineers on the team raising the bar for system design, documentation, and technical decision making.
- Drive clarity in cross team architecture with Flow, Data, and Infra ensuring Sourcing evolves as a cohesive, maintainable system.
- Set long term technical direction for how we build AI powered sourcing systems.
7+ years of experience
building distributed systems or large scale backend architecture
Tech stack
LangChain, Groq, LangGraph, Terraform, React, TypeScript, dbt, PostgreSQL, Elasticsearch, GCP, Python, Go