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About The Role Our R&D; team explores what is next from AI/ML integration into enterprise workflows to experimenting with new architectures, protocols, and tooling. We are looking for a curious, self-directed engineer who enjoys going deep on hard problems, prototyping solutions, and turning research into production-ready capabilities that give our products an edge. Responsibilities - Research and prototype AI/ML solutions for integration into enterprise products - Evaluate emerging technologies and assess their applicability to our product roadmap - Build proof-of-concept implementations and present findings to the engineering team - Collaborate with product teams to identify opportunities for intelligent automation - Develop internal tools and utilities that improve engineering productivity - Stay current with industry research and contribute to internal knowledge sharing - Document research findings, architecture decisions, and implementation guides Requirements - Robust foundation in computer science fundamentals algorithms, data structures, systems design - Experience with Python and at least one ML/AI framework (PyTorch, TensorFlow, or similar) - Familiarity with LLMs, RAG architectures, or NLP pipelines is a strong plus - Ability to read and implement ideas from research papers - Experience building prototypes and proof-of-concepts that evolve into production features - Comfortable working with ambiguity and defining your own research direction - Minimum 1 year of experience in a research, ML, or advanced engineering role Skills PythonMachine LearningLLMsNLPPyTorchResearchPrototypingSystems 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.