Applied AI Engineer

About WorkOS 🚀

WorkOS builds modern developer tools and APIs that make it easy for companies to become Enterprise Ready. Our platform powers authentication, identity, authorization, and other critical infrastructure that developers need to securely scale their products to large organizations.

We recently raised a $100M Series C, valuing the company at $2B, led by Meritech and Sapphire with participation from Greenoaks, Craft, Abstract, and Audacious. WorkOS powers enterprise features for many of the fastest-growing AI companies, including OpenAI, Cursor, and Perplexity, Vercel, and Plaid.

As AI reshapes software, WorkOS is at the frontier of Human and Agent Authentication, Identity, and Access Control—helping companies answer a new critical question: who are your agents, and what are they allowed to do? Our fast-growing customer base includes hundreds of modern software companies building the next generation of enterprise-ready products.

ABOUT THE ROLE

We’re building an Applied AI team to dramatically increase productivity across Engineering, Sales, Support, and Operations as well as build out external AI functionality for our customers.

As an Applied AI Engineer, you’ll design and ship production AI systems that change how WorkOS builds, sells, and supports software. Your focus is internal and external: building durable tools and workflows that teammates rely on every day and explore new AI functionality for customers.

You’ll work on a small, high‑ownership team that:

• Chooses problems based on measurable impact.

• Moves from idea → prototype → production in days or weeks.

• Adapts quickly as models, tools, and best practices evolve.

This is a 0→1 role with company‑wide visibility.

WHAT YOU’LL DO

• Work closely with Engineering, Sales, Support, and Ops to uncover high‑leverage internal problems where AI can remove bottlenecks or unlock new workflows.

• Design and build tools that become part of people’s daily work – agents, automations, and workflows that are stable, observable, and easy to maintain.

• 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 that span multiple apps and data sources.

• Stay current on new models and tooling, run focused experiments, and help the team converge on patterns, libraries, and infra that compound over time.

EXAMPLE PROBLEMS YOU MIGHT WORK ON

• Turning noisy, cross‑tool workflows (tickets, Slack threads, docs) into a single agent that handles triage, routing, and suggested actions.

• Building AI‑assisted engineering workflows that shorten the loop from “bug report or idea in Slack” to changes safely deployed in production.

• Designing a GTM agent that helps reps research accounts, prepare meetings, and follow up using context from CRM, product usage, and prior conversations.

WHAT WE’RE LOOKING FOR

• You’ve taken AI‑powered systems from idea to production and through at least one iteration cycle with real users.

• Strong engineering fundamentals. You’re comfortable owning services, data flows, and integrations end‑to‑end. This role must pass our engineering interview loop.

• Experience with LLM APIs, embeddings, retrieval / RAG‑style architectures, and structured tool‑calling (or agents), even if not all in production yet.

• You’re comfortable stitching together APIs, webhooks, event systems, and internal tools, and you think about failure modes, observability, and ownership.

• Bias toward action. You care less about showing off a model and more about removing real bottlenecks, saving hours, or unlocking workflows the company couldn’t do before.

• Comfort with ambiguity and fast change. You enjoy working in areas where the problem, the tools, and the “right” patterns are evolving quickly – and you’re excited to help define them.

NICE TO HAVE

• Prior work with enterprise SaaS, identity / auth, or security‑sensitive systems.

• Exposure to MCP or similar protocols for connecting AI agents to real systems.

Benefits (US Only) 💖

At WorkOS, we offer resources that emphasize personal and familial well-being. We offer healthcare coverage for you and your family, including medical, dental, and vision. We offer parental leave, paid-time off and fully remote working arrangements.

Benefits include:

• 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 + unlimited sick leave

• Autonomy and flexibility with remote work

Please inquire directly with our recruiting team for benefits available to those working outside the US.

Equal Opportunity Employer

WorkOS is an equal opportunity employer, committed to diversity and inclusiveness. We will consider all qualified applicants without regard to race, color, nationality, gender, gender identity or expression, sexual orientation, religion, disability or age.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.