Workstream
Senior AI Engineer
Texas · Senior · Full-time
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About the role
- There are 2.7 billion hourly workers, making up 80% of the global workforce, but this market has been heavily underserved by technology and deserves better.
- Workstream has been purpose-built for the hourly workforce from day one so that these businesses and their employees can thrive.
- This is a founding engineer opportunity.
Requirements
- Demonstrated production experience matters more than title or years.
Nice to have
- Turn customer-specific work into reusable agents, integrations, and playbooks-productization is the default, customization the exception.
- Handle production incidents end to end, and feed every failure back into evals and controls so it cannot recur.
- Help set the technical bar as the team grows.
- You have personally built and operated at least one AI agent or agentic workflow in production.
- You can clearly explain how it worked, where it failed, how you evaluated it, and what you kept deterministic or human-led.
- Strong engineering judgment across models, orchestration, APIs, data and integrations, permissions, observability, and evaluations.
- You can break a messy workflow into deterministic steps, agentic decisions, human judgment, and exception paths-and define how each part will be tested.
Compensation
- Competitive salary and equity
Benefits
- Competitive salary and equity
- Comprehensive health coverage: Medical, dental, and vision plans, with 100% employer-paid employee-only coverage available on select plans.
- Dependent coverage options vary by health plan.
- Exposure to a regulated domain (payroll, payments, tax, benefits, labor compliance) is a plus, not a requirement.
Company info
- Our customers include leading brands from multiple sectors, including Burger King, Carl's Jr./Hardee's, IHOP, KFC, and Culvers.
- We are backed by legendary VCs and industry experts like Founders Fund, BOND, and Coatue.
- We are committed to the full inclusion of all qualified individuals.
This listing is sourced directly from Workstream's careers page and normalized into a canonical job model.