Senior AI NLP Engineer

Senior AI NLP Engineer

Engineering

Tel Aviv-Yafo, Israel

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 Senior AI NLP Engineer to join our core NLP team.

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

Responsibilities

  • Design, develop and implement products that incorporate Generative AI, Knowledge Retrieval, prompt engineering for LLMs and RAG, in order to help patients across the US.
  • Deliver your solutions to production while constantly monitoring and improving their scalability, reliability and robustness.
  • Continuously improve our existing NLU capabilities that help patients across the US answer any question (QA), schedule appointments with their doctor, refill their prescriptions, and much more.
  • Write clear code with clean architecture, good design patterns and tests.

Requirements

  • 4+ years of Python or Javascript programming experience
  • Experience with building LLM-based applications using tools like RAG, chains, or vector DBs
  • Team player with a positive and fun attitude
  • Strong interpersonal and communication skills
  • Capacity to work in a fast-changing environment
  • Experience designing, building, and operating large systems with scalability, availability, testing, and performance requirementsAdvantages:
  • Masters degree in a relevant field
  • Knowledge in functional programming
  • Experience as a product facing Data Scientist
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