Early Career Software Engineer - Applied AI

Role Overview

We are seeking an Early Career Software Engineer with an interest in applied AI to join our growing team. 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. This position is on site in our office in Rincon Hill, San Francisco, 5-6 days a week to allow for collaboration.

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.
• Strong foundation in programming languages (e.g., Python, JavaScript, or TypeScript).
• 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: 5-6 days a week in our office in Rincon Hill, San Francisco, with lunch covered.

• Wonderschool's mission is to ensure every child has access to child care that helps them realize their potential.
• We are doing this by building a suite of tools to support passionate early care and education professionals to start and run quality and sustainable child care programs.
• Our tools allow providers to easily manage their students, parents, and school all from one dashboard.
• Our community allows providers to seek advice, support, and a sense of belonging with a group of like-minded peers.

For parents, our marketplace allows parents to easily search for schools, schedule visits, enroll their children, and make payments.

The first five years of a child's life are critical for nurturing brain development for success in school and beyond. All children deserve access to a care situation that will allow them to grow into healthy, lifelong learners. By leading a revolution where all children are able to get access to an environment to develop these skills, we can create drastic changes to neighborhoods and societies as a whole.