Applied AI Engineer role at WorkOS, a developer-tools and API company at the frontier of human and agent authentication, identity and access control. The growing Applied AI team aims to dramatically increase productivity across Engineering, Sales, Support and Operations, and to ship AI-powered products that customers rely on directly. The engineer designs and ships production AI systems that change how WorkOS builds, sells, supports and scales, building both internal-leverage tools and customer-facing products. This is a 0-to-1 role with company-wide visibility on a small, high-ownership team that chooses problems based on measurable impact and moves from idea to prototype to production in days or weeks.
Stack
Responsibilities
- ▹Design and ship customer-facing AI products such as ask.workos.com, AI support bots embedded in customer Slack channels, and new surfaces
- ▹Build internal tools that become part of people's daily work: agents, automations and workflows that are stable, observable and easy to maintain
- ▹Work on big bets such as a unified bot framework, a sandboxed coding harness agent, and infrastructure that lets the entire company ship
- ▹Use LLMs, embeddings, retrieval and tool-calling to plug into docs, Slack, GitHub, CRM, analytics, support systems and internal services
- ▹Replace repetitive, multi-step manual processes with orchestrated, AI-driven flows spanning multiple apps and data sources
- ▹Stay current on new models and tooling, run focused experiments, and help the team converge on patterns, libraries and infrastructure that compound over time
Requirements
- ▹Has 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
- ▹Thinks about failure modes, observability and ownership, not just whether the demo works
- ▹Bias toward action; focused on removing real bottlenecks and unlocking workflows
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
Soft skills
Bias toward actionComfort with ambiguity and fast changeHigh ownershipSense of measurable impact
What we offer
- ▹Competitive pay
- ▹Substantial equity grants
- ▹Healthcare insurance (medical, dental and vision) for you and your family
- ▹401k matching
- ▹Wellness and fitness monthly allowances
- ▹PTO, paid holidays and unlimited sick leave
- ▹Parental leave
- ▹Fully remote working arrangements
- ▹Benefits and perks listed apply to US-based employees