Early Career Software Engineer

Summary

Join Wonderschool, a company leveraging technology to support childcare providers, as a Sr. Development Engineer. You will play a key role in leading software development initiatives, collaborating with a talented team to build innovative AI-driven solutions. This position offers the opportunity to create a meaningful impact in the childcare ecosystem by developing scalable applications that empower providers and improve parent experiences. The role requires expertise in software development and AI integration. Wonderschool offers a competitive salary, comprehensive health benefits, flexible PTO, mental wellness days, parental leave, and a fully remote work environment with flexible hours.

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

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

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

Benefits

• 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