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2 месяца назад

Early Career Software Engineer (Applied AI)

100 000 - 120 000$
Формат работы
hybrid
Тип работы
fulltime
Грейд
junior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR

Early Career Software Engineer (Applied AI): Design, develop, and maintain robust software solutions with a focus on integrating AI capabilities into childcare platform with an accent on AI agents, natural language understanding, and scalable AI-driven features. Focus on building modular AI agents using frameworks like LangChain or Rasa, debugging technical issues, and staying current with AI best practices.

Onsite in San Francisco office Tuesday, Wednesday, and Thursday for collaboration (hybrid required).

Expected salary range: $100K–$120K annually, based on experience and location.

Company

hirify.global harnesses technology to support childcare providers with tools for managing students, parents, and schools, and provides a marketplace for parents.

What you will do

  • Design, develop, and maintain software solutions focused on AI integration.
  • Collaborate with product managers, designers, and engineers to define requirements and implement features.
  • Build modular AI agents for natural language understanding, dialogue management, and action execution using LangChain or Rasa.
  • Debug and troubleshoot issues to ensure platform stability.
  • Stay current with software engineering and AI technologies.

Requirements

  • Bachelor’s degree in Computer Science, Engineering, or related field.
  • Strong foundation in programming languages like Python, JavaScript, or TypeScript.
  • Familiarity with AI/ML concepts and frameworks (TensorFlow, PyTorch, Scikit-learn).
  • Basic understanding of cloud platforms (Google Cloud Platform, AWS).
  • Excellent communication skills and ability to work in a collaborative, in-person environment (hybrid onsite in SF required).

Nice to have

  • Strong understanding of machine learning principles, model development, evaluation, and deployment.
  • Retrieval-Augmented Generation (RAG) pipelines with retrievers and generative models.
  • Continuous learning techniques with user feedback loops and data augmentation.

Culture & Benefits

  • 100% coverage for employee health premiums, 80% for dependents.
  • Flexible PTO, mental wellness days, wellness reimbursements.
  • Competitive parental leave after six months.
  • 3-5 days in SF office with lunch covered.

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