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We’re looking for a highly skilled AI Engineer to help us design, build, and scale intelligent systems across our next-generation global HR Tech platform. As an early-stage startup, we’re looking for someone who thrives in dynamic environments, is passionate about automation and AI-driven innovation, and brings hands-on experience developing AI/ML solutions within enterprise-grade SaaS platforms. You’ll work cross-functionally with product, data, and engineering teams to develop models that improve user experience, automate decision-making, and support smart HR and payroll solutions. This role reports directly to the Head of Engineering. What You’ll Do Design and implement machine learning models to solve HR-specific challenges (e.g., intelligent automation, anomaly detection, personalized experiences) Collaborate with product managers and engineers to bring AI features to life across the platform Develop and optimize data pipelines to support model training and inference Research and apply NLP, LLMs, and other AI/ML technologies to streamline and improve HR workflows Monitor model performance and retrain/improve based on feedback and usage Build scalable AI solutions using cloud-native tools (preferably AWS) Contribute to data governance, ethical AI use, and compliance What You’ll Bring 4–6+ years of experience as an AI/ML Engineer or Data Scientist, ideally with startup or SaaS exposure Strong understanding of supervised/unsupervised learning, NLP, neural networks, and generative AI Proficiency with Python and ML frameworks like TensorFlow, PyTorch, Hugging Face, or similar Experience deploying models in production using cloud platforms like AWS Sagemaker, GCP Vertex AI, or Azure ML Experience with data versioning, MLOps, and model lifecycle management Ability to work autonomously and thrive in a startup environment Familiarity with HR tech, payroll, or workforce data is a plus
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.