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AI Engineer

Role overview

Qualifications

  • 4–6+ years of experience as an AI/ML Engineer or Data Scientist
  • Strong understanding of supervised/unsupervised learning, NLP, neural networks, and generative AI
  • Proficiency with Python and ML frameworks like TensorFlow, PyTorch, Hugging Face
  • Experience deploying models in production using cloud platforms like AWS Sagemaker

Responsibilities

  • Design and implement machine learning models to solve HR-specific challenges
  • Collaborate with product managers and engineers to bring AI features to life
  • Develop and optimize data pipelines to support model training and inference
  • Research and apply NLP, LLMs, and other AI/ML technologies to streamline HR workflows

About the company

Globalli logo

Globalli

Computer Software / SaaS

The future of global work starts with payroll. Where you can sign talent across borders, pay in flexible currencies, and open new markets without re-learning the rules in every country. Globalli is made for that future. It’s the only Global People OS—one system for one predictable way of working globally. Hire in Japan like your HQ’s in Tokyo. Pay employees and contractors in pesos or crypto without thinking twice. Stay a step ahead when regulations shift in Berlin. And while you focus on your people strategy, Genius—our built-in compliance and culture AI—tracks every law change, makes you sound local, and handles the fine print before you even ask. No outside vendors necessary. One system, for one way of working to scale worldwide and Thrive Globalli.

Company details

IndustryComputer Software / SaaS
Company size51 - 200

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Job 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

 

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MR

Marcus Rivera

Chief Revenue Officer

m.rivera@company.com
linkedin.com/in/marcusrivera
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