Applied AI Engineer

The role

You will design and ship production AI systems for internal productivity and customer-facing products. You will build agents, automations, and workflows using LLMs, embeddings, retrieval, and tool-calling.

What you will do

• Design and ship customer-facing AI products
• Build internal tools like agents, automations, and workflows
• Work on a unified bot framework and a sandboxed coding harness agent
• Use LLMs, embeddings, retrieval, and tool-calling to plug into various systems
• Replace repetitive manual processes with orchestrated AI-driven flows
• Stay current on new models and tooling and run focused experiments

Required qualifications

• Taken AI-powered systems from idea to production and through at least one iteration cycle with real users
• Strong engineering fundamentals
• Comfortable owning services, data flows, and integrations end-to-end
• Experience building with LLM APIs
• Ability to think about failure modes, observability, and ownership
• Bias toward action
• Comfort with ambiguity and fast change

Nice to have

• Prior work on customer-facing AI products
• Experience with embeddings, retrieval/RAG architectures, and structured tool-calling or agents
• Exposure to MCP or similar protocols for connecting AI agents to real systems

Benefits

• Healthcare coverage for you and your family, including medical, dental, and vision
• Parental leave
• Paid-time off
• Fully remote working arrangements
• 401k matching
• Competitive Equity
• FSA, ST/LT Disability, Voluntary Life
• Carrot fertility benefits
• 20 days paid vacation
• 10 holidays
• Unlimited sick leave
• 12 weeks fully paid parental leave

About the company

WorkOS builds modern developer tools and APIs that make it easy for companies to become Enterprise Ready. Their platform powers authentication, identity, authorization, and other critical infrastructure.