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AI Staff Engineer - Full-Stack Builder We’re looking for a rare kind of engineer: someone who thinks AI-first, builds from 0→1, and moves fast. This is a high-ownership, founding-level opportunity where you’ll take ambiguous problems, decide what to build, and ship AI-powered products end-to-end — from database to UI to production. About the Company Our client is a fast-growing technology company transforming operations through AI. Rather than simply adding AI features to existing products, they're rebuilding internal systems from the ground up using modern AI architecture and automation. They're looking for a hands-on engineer who thrives in ambiguity and enjoys solving business problems through technology. What you’ll do: Build AI-native features using LLMs, agents, RAG, tool use & evals Own the full stack across frontend, backend, data & AI Turn ideas into production products quickly Work closely with product & operations to solve real customer problems Help shape how AI is used across the platform What we’re looking for: 8+ years of software engineering experience 3+ years building production full-stack applications Strong Python and/or TypeScript skills Hands-on experience with OpenAI, Anthropic or open-source LLMs A true builder mindset — open-source, side projects, demos or products you've shipped Product-minded, fast-moving and comfortable with ambiguity ⭐ Bonus: experience with AI agents, eval frameworks, vector databases, marketplaces, logistics, delivery or restaurant tech. If you’re the kind of engineer who sees a new model launch and thinks “I could build something with that” — I’d love to hear from you.
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.