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About The RoleWe're looking for a Founding AI/ML Engineer to build the intelligence layer that powers Hexa. You'll design and ship the models, pipelines, and infrastructure that turn messy manufacturing data into real-time decisions: from parsing RFQs to matching suppliers to optimising pricing. This is a foundational role: you'll shape our AI strategy from day one and work directly with the founding team.About The RoleWe're looking for a Founding AI/ML Engineer to build the intelligence layer that powers Hexa. You'll design and ship the models, pipelines, and infrastructure that turn messy manufacturing data into real-time decisions: from parsing RFQs to matching suppliers to optimising pricing. This is a foundational role: you'll shape our AI strategy from day one and work directly with the founding team.What you\'ll doDesign and build NLP pipelines that parse RFQs, purchase orders, and unstructured manufacturing documentsBuild pricing models that learn from historical ERP data and market signalsCreate recommendation systems that match suppliers to orders in millisecondsOwn the full ML lifecycle: data collection, feature engineering, training, evaluation, and deploymentBuild robust, production-grade inference services that handle real customer trafficCollaborate closely with product and engineering to ship AI features end-to-endWhat we\'re looking forStrong foundation in machine learning, NLP, and information retrievalExperience building and deploying ML models in production environmentsProficiency in Python and ML frameworks (PyTorch, Transformers, scikit-learn)Experience with LLMs, prompt engineering, RAG, and tool-calling patternsComfortable with messy, real-world data; you\'ve wrangled unstructured text beforeBias toward shipping: you\'d rather deploy something useful than perfect a notebook #J-*-Ljbffr
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.