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About the job Web3 marked a new era of innovation with breakthroughs in decentralized finance (DeFi), NFTs, the Metaverse, and DAOs, redefining digital ownership, trust, and interoperability. Today, the next wave of transformation is being driven by AI, intelligent automation, and SaaS, revolutionizing how people build, work, and scale businesses. M0 is an AI, blockchain, and Web3 technology company exploring bold ideas across generative AI, intelligent SaaS, digital identity, ownership, utility, DeFi, and interoperability. We build products that leverage AI and decentralized technologies to solve real-world problems and shape the future of software. We're looking for builders, hackers, innovators, entrepreneurs, visionaries, and creatives who thrive on ownership and want to create products with meaningful impact. This isn't a typical job at M0you'll be challenged to bring your best ideas to life, build alongside exceptional people, and help define the next generation of AI-powered and decentralized technologies. Whether you're passionate about AI, SaaS, or Web3, you'll have the opportunity to push boundaries and build the future with us. Requirements Hands-on experience in developing LLM-based applications for both front-end and back-end development using JavaScript, Typescript, Nest and Next js.Hands-on experience on design, and optimizing LLM, RAGS, natural language processing (NLP) systems, frameworks, and tools.Hands-on AI/ML modelling experience of complex datasets combined with a strong understanding of the theoretical foundations of AI/ML both short term and long-term memory-based models.Experience in creating and deploying code libraries using functions and classes in Python and JavaScript MERN AI product-focused development.Comfortable working in the cloud and high-performance computing environments (eg, vector DBs, MLops, AWS/Azure/ GCP, ELK).Well-versed in software development and code quality best industry practices.Experience working with Agile Development methodologies. Responsibilities Prototypes and do proof of concepts (PoC) in one or all the following areas: LLMS. Type: Remote Internship (PAN India) Duration: 6 Months Stipend: Unpaid Full Time Opportunity Based on Performance. Perks Letter of Recommendation (LOR) Internship Completion Certificate Hands-on experience with real-world AI SaaS product design .
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.