Early Career Software Engineer – Applied AI

WonderschoolSan Francisco, CA
Hybrid

About The Position

Wonderschool is seeking a highly skilled and motivated Early Career Software Engineer to join their team. As the Early Career Software Engineer, you will play a crucial role in leading 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 cutting-edge applications. This position is on site in their San Francisco office, Tuesday, Wednesday, and Thursday to allow for collaboration. 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.

Requirements

  • 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 Haves

  • 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.

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.

Benefits

  • 100% coverage for employee premiums and 80% for dependents.
  • Flexible PTO, mental wellness days, and reimbursements for wellness initiatives.
  • Competitive parental leave policies eligible after six months of employment.
  • Lunch covered.
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