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About the Role This is a full-stack engineering role at an early-stage AI infrastructure startup building an enterprise context layer that makes AI agents reliable, accurate, and secure for business-critical operations. You'll join a small, senior team and own product surfaces end-to-end — from the interfaces customers interact with, to the APIs and data models underneath. Your work directly shapes how engineers understand and trust the platform. What You'll Do Own complete product surfaces end-to-end: interfaces, APIs, and underlying data models. Make complex system behavior legible and fast for engineers using the platform. Split your time roughly 60% on frontend and API layer work, 40% on backend services. Define architecture, ship to production, monitor behavior, and fix what breaks. Make design and product calls independently — no handed-down specs or design files. Remove growth ceilings by building customer-facing surfaces that are obvious and intuitive. What We're Looking For 5+ years building full-stack applications with shipped products in production. Genuine full-stack capability — comfortable going deep on distributed systems while also building UI. Proficiency with modern frontend frameworks (React, Vue, or equivalent). Backend service development experience with proficiency in Python, Go, Node.js, Java, or equivalent. Demonstrated ability to make architectural decisions independently and own implementation through production. Experience designing and shipping product surfaces end-to-end without detailed specifications or design files. Experience with databases and data modeling for systems requiring real-time performance. Comfort with ambiguity and a strong bias toward ownership and action. Nice to have: Experience with knowledge graphs, semantic systems, or graph databases; distributed systems, real-time inference, or agent-based systems; infrastructure or developer-facing products; enterprise data systems or data integration. Location On-site in San Mateo, CA, US. Full-time. Visa sponsorship is available.
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.