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Workstream is a mission-driven company building the all-in-one HR, payroll, and hiring platform for managing the hourly workforce. 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. Our customers include leading brands from multiple sectors, including Burger King, Carl's Jr./Hardee's, IHOP, KFC, and Culvers. We are a high growth series B company and quickly expanding our product portfolio to deliver on our vision. We are backed by legendary VCs and industry experts like Founders Fund, BOND, and Coatue. Day In The Life Workstream is building AI-native services that deliver completed business outcomes—mature service categories businesses already pay for, delivered by AI agents plus a small human review layer at materially better margins than the traditional alternative. We are validating the first service now with design customers from our existing base. You will be the first engineering hire on the delivery team, reporting to the Head of Delivery, AI-Native Services. This is a forward-deployed builder role. You will embed with design customers, map their real workflows, and build the production agents, integrations, evaluations, and review tooling that turn that work into a reliable, repeatable service. You will see your systems do real work with real consequences for real people—and you will be on the hook when they misbehave. You will not own pricing, deal acceptance, or the margin model—those sit with the Head of Delivery and the Head of GTM. You will own the components: whether they work, how they fail, and how fast bespoke work becomes reusable. This is a full-time, hybrid position with 1 to 2 days a week in-office to support close cross-functional collaboration. Build and operate production agents and agentic workflows: orchestration, tool use, data connections, deterministic logic, state, and permissions. Work forward-deployed with design customers—sit in their workflow, map the messy reality, and build against live data. Build the evaluation harness: eval datasets from real customer work, pre-launch thresholds, regression suites, and post-launch monitoring. Build the human-review layer: exception queues, review tooling, escalation paths, and the tracing that makes every agent decision auditable. Run shadow-mode parallel runs against the customer's existing process or provider and drive discrepancies to zero before go-live. 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. Who You Are 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 have worked directly with customers or end users—discovery, implementation, or incident resolution—and communicate clearly with non-technical people. You can break a messy workflow into deterministic steps, agentic decisions, human judgment, and exception paths—and define how each part will be tested. You care about keeping plausible but wrong AI output away from customers: grounded context, constrained actions, verification, evals, review, monitoring. You thrive in zero-to-one ambiguity: shipping weekly, owning outcomes, and doing whatever the service needs—including unglamorous review tooling and data plumbing. Exposure to a regulated domain (payroll, payments, tax, benefits, labor compliance) is a plus, not a requirement. Demonstrated production experience matters more than title or years. What We Offer A mission-driven and value-based company dedicated to empower deskless workers and local businesses An early employee opportunity at a Series B hyper-growth startup; work with the founding team and industry veterans to accelerate your career Competitive salary and equity Comprehensive health coverage: medical, dental, and vision. We pay 95% of your premiums for our employees and 85% for dependents In office amenities and stocked kitchen 401K Plan Pre-tax commuter benefits Flexible PTO Know More About Workstream https://www.workstream.us/blog/funding-series-b https://techcrunch.com/2021/08/26/workstreams-text-based-recruitment-tool-gets-a-48m-bet-from-bond-and-beyond/ https://techbuzz.news/buzzworthy-august-27-2021/ Additional Information Workstream provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training. We are committed to the full inclusion of all qualified individuals.
Here's how to pick the right one and stand out in your application.
144.883Jobs
31.687IN
81%EN
That number is real. WorkMundi's database shows 144,883 open engineer roles across the world. India has the most with 31,687 jobs, followed by the United States with 30,084. If you just finished reading one job ad and felt paralyzed by choice, you're not alone—but this scale is actually an advantage. It means you can afford to be selective.
Start by geography and language. The majority of engineer ads—117,837 of them—have the job posting text written in English. Use that as one filter, but remember: the ad text language tells you nothing about whether the role actually requires you to speak English day-to-day. Read the job description carefully. Then check which countries have the volume you're targeting. Singapore, Poland, and Australia round out the top five after India and the US.
Next, learn who's hiring. Accenture has posted 2,801 engineer roles. andurilindustries, speechify, and jobgether are also actively recruiting. If you're applying to one of these names, research their hiring patterns and interview style before you apply. That homework pays off.
When you interview, expect the question every engineer hears: 'Tell me about a time you had to debug a problem that wasn't in your job description.' Have a specific story ready—not a general one. Name the tools, the deadline pressure, and what you learned. Hiring managers listen for whether you see problem-solving as part of the role itself, not a favour.