- Design and ship AI features that turn a user's goals, website, or data into campaigns, content, and recommendations.
- Build AI-powered internal tools and data-driven systems, including analytics platforms, reporting automation, and workflow intelligence.
- Design and build LLM pipelines with prompt design, structured and validated output, RAG, guardrails, and agentic workflows.
- Clean and analyze product and behavioral data, grounding AI output in facts.
- Build data pipelines that ingest, transform, and serve behavioral and operational data at scale.
- Set up evaluation and observability to measure iterations and catch failures before users see them.
- Own the path from model output to the user interface across backend and frontend.
- Evaluate and select models, frameworks, and infrastructure based on quality, cost, and latency.
- Monitor how people use AI features and use that feedback to improve them.
- Write production-grade code and document work, including how AI was used to build it.