# Early Career Software Engineer – Applied AI

**Company**: Wonderschool
**Location**: San Francisco
**Work arrangement**: onsite
**Experience**: entry
**Job type**: full-time
**Salary**: $100K–$120K annually
**Category**: Engineering
**Industry**: Technology

**Apply**: https://job-boards.greenhouse.io/wonderschool/jobs/6359139003
**Canonical**: https://yubhub.co/jobs/job_c0d767cd-e62

## Description

We are seeking a highly skilled and motivated Early Career Software Engineer to join our team. As the Early Career Software Engineer, you will play a crucial role in leading our software development initiatives, working with a talented team to create innovative solutions.

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.

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

## Skills

### Required
- Python
- JavaScript
- TypeScript
- TensorFlow
- PyTorch
- Scikit-learn
- Google Cloud Platform
- AWS

### Nice to have
- Machine learning principles
- Retrieval-Augmented Generation (RAG) Pipelines
- Continuous Learning