WorkOS
Applied AI Engineer
$175K–$275K
United States & Canada · Remote · Full-time · Posted Feb 27, 2026
About the job
Build and ship production AI systems that improve WorkOS’s internal operations and power customer-facing products.
What you'll do
- Develop customer-facing AI products and internal agents, automations, and workflows.
- Build AI infrastructure and integrations across company tools and data sources.
- Experiment with models and tooling, and establish reliable, observable patterns for AI systems.
What they ask for
- Have taken AI-powered systems from idea to production and completed at least one iteration with real users.
- Strong engineering fundamentals, including end-to-end ownership of services, data flows, and integrations.
- Experience building with LLM APIs.
- Consider failure modes, observability, and system ownership.
Nice to have
- Prior work on customer-facing AI products.
- Experience with embeddings, retrieval/RAG, structured tool-calling or agents, or MCP and similar protocols.
Pay
$175K – $275K USD base salary
Tools
LLM APIs, LLMs, embeddings, retrieval, tool-calling, Slack, GitHub, CRM
AI focus
Build production AI products and systems, including agents and automations, using LLMs, retrieval, and tool-calling for customer-facing and internal workflows.
Model-written summary · the original posting is authoritative