Early Career Software Engineer – Applied AI

Summary

Wonderschool is harnessing technology to support childcare providers and improve parent experiences. The Early Career Software Engineer will lead software development initiatives, focusing on creating innovative AI-driven solutions for the childcare ecosystem.

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

Skills

• 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
• 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

Qualifications

Must Haves

• 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

Benefits

• 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: 3-5 Days in our SF Office in Downtown in SF with lunch covered.