Helios develops Proxi, an AI-powered operating system that helps public policy, regulatory, legal, and compliance professionals automate research, drafting, data analysis, and stakeholder management.
<p>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.</p> <p>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.</p> <p><strong>What You’ll Do</strong></p> <ul> <li>Design and implement machine learning models to solve HR-specific challenges (e.g., intelligent automation, anomaly detection, personalized experiences)</li> <li>Collaborate with product managers and engineers to bring AI features to life across the platform</li> <li>Develop and optimize data pipelines to support model training and inference</li> <li>Research and apply NLP, LLMs, and other AI/ML technologies to streamline and improve HR workflows</li> <li>Monitor model performance and retrain/improve based on feedback and usage</li> <li>Build scalable AI solutions using cloud-native tools (preferably AWS)</li> <li>Contribute to data governance, ethical AI use, and compliance</li> </ul> <p><strong>What You’ll Bring</strong></p> <ul> <li>4–6+ years of experience as an AI/ML Engineer or Data Scientist, ideally with startup or SaaS exposure</li> <li>Strong understanding of supervised/unsupervised learning, NLP, neural networks, and generative AI</li> <li>Proficiency with Python and ML frameworks like TensorFlow, PyTorch, Hugging Face, or similar</li> <li>Experience deploying models in production using cloud platforms like AWS Sagemaker, GCP Vertex AI, or Azure ML</li> <li>Experience with data versioning, MLOps, and model lifecycle management</li> <li>Ability to work autonomously and thrive in a startup environment</li> <li>Familiarity with HR tech, payroll, or workforce data is a plus</li> </ul> <p> </p>