Wonderschool→
Early Career Software Engineer – Applied AI at Wonderschool · San…
Entry LevelOn-siteFull-timeSan Francisco, CA$100k–$120k/yr
Skills
pythonjavascripttypescriptai/ml conceptstensorflowpytorchscikit-learngoogle cloud platformaws
Job Description
Summary: Wonderschool is harnessing the power of technology to provide comprehensive support to childcare providers. They are seeking an Early Career Software Engineer to lead software development initiatives and create AI-driven solutions that empower childcare providers and improve parent experiences.
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
Preferred Qualifications:
- 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
Required Skills: Python, JavaScript, TypeScript, AI/ML concepts, TensorFlow, PyTorch, Scikit-learn, Google Cloud Platform, AWS
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.
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.