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Were Looking for a Co-Founder AI Engineer / Data Scientist Were building something ambitious at the intersection of AI, data, and real-world impact and were looking for a Co-Founder who wants to build it with us from the ground up. This isnt a traditional job. Youll be an early builder, decision-maker, and owner. Who Were Looking For Were looking for someone with a strong background in AI/ML, Data Science, or related fields who is excited about turning ideas into working products. You might be a great fit if you have experience with: Machine Learning & Deep Learning Generative AI / LLMs / AI Agents Python and modern AI/ML frameworks Data analysis, modelling & experimentation Building and deploying AI products APIs, cloud platforms and AI infrastructure Taking a problem from idea prototype production More Important Than the Checklist Were looking for someone who: Thinks like a builder, not just an employee Is comfortable with ambiguity and experimentation Has strong product and problem-solving instincts Wants meaningful ownership and equity Can move quickly from concept to execution Is excited about building a company, not simply joining one What Youll Do As a Co-Founder, youll help shape: The AI/ML technology and product architecture Our data strategy and intelligent systems Prototypes, MVPs and production deployments Product direction and technical roadmap The founding team and engineering culture Ultimately, the company itself Why Join as a Co-Founder You wont be joining an established hierarchy. Youll help create it. Youll have the opportunity to influence the product, technology, strategy, and future of the company, with meaningful founder-level ownership. Location: [Remote / Hybrid / Kolkata] Role: Co-Founder AI Engineer / Data Scientist Compensation: Equity Commitment: Full time / Part-time initially. If youre an AI engineer or data scientist who has always wanted to build someth .
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.