PA

Palona AI

Verified Job Source

AI built for revenue expansion.

Menlo Park, CA

Software Development
11–50 people

About

We are building a new, completely proprietary AI system with multi-agents, multimodal-to-action models, combined with unrivaled emotional intelligence language models to empower businesses to scale by delivering a high-touch customer experience, automation and efficiency. Our AI Agents will supercharge the core of your business.

Open positions

AI Research Engineer, Computer Vision & VLMs

On-site · Toronto

Develop and adapt computer vision and vision-language models for scene understanding, object detection, and activity recognition in restaurant environments. Partner with product and engineering teams to deploy efficient inference pipelines and translate research advances into practical product capabilities.

AI Software Engineer, Product

On-site · Toronto

Build and ship end-to-end AI product experiences from problem discovery through to production launch and iteration. Collaborate with cross-functional teams to design agent workflows, integrate external systems, and ensure high-quality, reliable performance.

AI Software Engineer, Growth

On-site · Toronto

You will build and own the technical growth system, including web experiences, experimentation, and data pipelines to drive qualified demand. You will collaborate with cross-functional teams to optimize conversion funnels and automate marketing and sales workflows.

AI Modeling Engineer

On-site · Toronto

You will develop and implement modeling strategies to improve the intelligence, accuracy, and performance of voice and multimodal AI agents in production. This involves building rigorous evaluation frameworks, managing datasets, and collaborating with cross-functional teams to deploy reliable model updates.

AI Infrastructure Engineer

On-site · Toronto

You will design, build, and maintain secure, scalable cloud infrastructure to support real-time AI services and customer-facing applications. Additionally, you will improve service reliability through observability, failure testing, and the development of automated deployment systems.