Job Opportunities API

The Public Ledger of Openings

← Back to the ledger

AI Engineer

Globalli
CompanyGloballi
CategoryEngineering
LocationMexico
RemoteOn-site (inferred)
EmploymentNot stated
LevelNot stated
SalaryNot stated by the employer
Posted30 Apr 2026
Last verified30 Jul 2026
SourceEmployer career page (greenhouse)
Applications are handled by the employer, not by us.Apply on the employer's site →
Description
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  
HOUSE AD982,094 openings. Erioun finds yours.Scored against your own profile, every hour.Try the radar →