Job Details

Wonderschool is harnessing the power of technology to provide comprehensive support to childcare providers operating out of their homes as well as in the government and non-profit sectors. Our products enable childcare providers to create high-quality environments and meet the demands of their business, while also helping parents in need of childcare solutions through the creation of an accessible marketplace.

We are seeking a highly skilled and motivated Sr. Development Engineer to join our team. As the Sr. Development Engineer, you will play a crucial role in leading our software development initiatives, working with a talented team to create innovative solutions. Your expertise in delivery of high-quality software will be essential in driving the development of our cutting-edge applications.

Role Overview

This is a unique opportunity to work in a fast-paced, purpose-driven environment where you can apply your technical skills to create meaningful impact in the childcare ecosystem. You'll collaborate with cross-functional teams to build scalable, AI-driven solutions that empower childcare providers and improve parent experiences.

Key Responsibilities

• Design, develop, and maintain robust software solutions with a focus on integrating AI capabilities.
• Collaborate with product managers, designers, and engineers to define requirements and implement innovative features.
• Design and Development of AI Agents: Build modular, task-specific AI agents capable of natural language understanding, dialogue management, and action execution using frameworks such as LangChain or Rasa.
• Debug and troubleshoot technical issues to ensure platform stability.
• Stay current with emerging technologies and best practices in software engineering and AI.

Required Qualifications

• Bachelor's degree in Computer Science, Engineering, or related field.
• Familiarity with AI/ML concepts and frameworks (e.g., TensorFlow, PyTorch, Scikit-learn).
• Basic understanding of cloud platforms like Google Cloud Platform and AWS.
• Excellent communication skills and ability to work in a collaborative, in-person environment.

Nice-to-Have Skills

• Strong understanding of machine learning principles, including model development, evaluation, and deployment for real-world applications.
• Retrieval-Augmented Generation (RAG) Pipelines

  Design and deploy RAG pipelines by integrating retrievers with generative models to enable contextual, real-time responses using vectorized knowledge bases.

  
  

• Continuous Learning

  Incorporate user feedback loops and data augmentation techniques to iteratively improve the performance and relevance of AI agents and RAG pipelines.

  
  

What We Offer

• Compensation

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

  
  

• Health Benefits

  100% coverage for employee premiums and 80% for dependents.

  
  

• Wellness

  Flexible PTO, mental wellness days, and reimbursements for wellness initiatives.

  
  

• Parental Leave

  Competitive policies eligible after six months of employment.

  
  

• Work Environment

  Fully remote with flexible hours and regular team bonding opportunities.

  
  

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