AI Architect

Grab your cape, become a SuperHyro!

Hyro, the leading responsible conversational AI platform for healthcare, enables enterprises to automate workflows and conversations across their most valuable platforms, services, and channels, including call centers, websites, SMS, mobile apps, and more. Top-performing organizations trust Hyro's plug-and-play approach, including an award-winning natural language engine, to help them recapture time and investment lost to building and maintaining chat and voice solutions.

What Are We Looking For?

We’re searching for a passionate and experienced AI Architect to join our team.

With a wide array of responsibilities and corresponding impact, you’ll help spearhead our product offering and wear multiple hats at a fast-growing, dynamic, early-stage company.

Responsibilities:

• Design, develop, and drive design processes and products that incorporate Generative AI (LLMs) and knowledge Retrieval in order to help patients across the US.
• Design and define data pipelines and evaluation pipelines.
• Coach teams on best practices for datasets and building data sets.
• Build applicative AI in production on a large scale.
• Build solutions for different mediums including voice products with minimal latency and high accuracy.
• Build an internal tool system to allow scientific evaluation.
• Implement and lead new AI strategies by designing and implementing complex functionality and/or integrating with 3rd parties.
• Continuously improve our existing NLP capabilities to help patients across the US answer any question, schedule appointments with their doctor, refill their prescriptions, and much more.
• Use best practices and SOTA from the AI industry but also push the envelope to new heights.
  
  

• At least 3 years of experience as an AI Architect/Principal Engineer.
• At least 2 years of experience with building ML or LLM-based applications in production.
• At least 5 years of Python or equivalent programming experience.
• Bachelor’s or a master's degree in computer science, data science, or equivalent field.
• Knowledge in MLOps - bonus.
• Team player with a positive and fun attitude.
• Strong interpersonal, leadership, and communication skills.
• Capacity to work in a fast-changing environment.
• Experience designing, building, and operating large systems with scalability, availability, testing, and performance requirements.