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    <job>
      <externalid>c0d767cd-e62</externalid>
      <Title>Early Career Software Engineer – Applied AI</Title>
      <Description><![CDATA[<p>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.</p>
<p>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.</p>
<p>Key Responsibilities:</p>
<ul>
<li>Design, develop, and maintain robust software solutions with a focus on integrating AI capabilities.</li>
<li>Collaborate with product managers, designers, and engineers to define requirements and implement innovative features.</li>
<li>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.</li>
<li>Debug and troubleshoot technical issues to ensure platform stability.</li>
<li>Stay current with emerging technologies and best practices in software engineering and AI.</li>
</ul>
<p>Required Qualifications:</p>
<ul>
<li>Bachelor’s degree in Computer Science, Engineering, or related field.</li>
<li>Strong foundation in programming languages (e.g., Python, JavaScript, or TypeScript).</li>
<li>Familiarity with AI/ML concepts and frameworks (e.g., TensorFlow, PyTorch, Scikit-learn).</li>
<li>Basic understanding of cloud platforms like Google Cloud Platform and AWS.</li>
<li>Excellent communication skills and ability to work in a collaborative, in-person environment.</li>
</ul>
<p>Nice-to-Have Skills:</p>
<ul>
<li>Strong understanding of machine learning principles, including model development, evaluation, and deployment for real-world applications.</li>
<li>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.</li>
<li>Continuous Learning: Incorporate user feedback loops and data augmentation techniques to iteratively improve the performance and relevance of AI agents and RAG pipelines.</li>
</ul>
<p>What We Offer:</p>
<ul>
<li>Compensation: Expected salary range is $100K–$120K annually, based on experience and location.</li>
<li>Health Benefits: 100% coverage for employee premiums and 80% for dependents.</li>
<li>Wellness: Flexible PTO, mental wellness days, and reimbursements for wellness initiatives.</li>
<li>Parental Leave: Competitive policies eligible after six months of employment.</li>
<li>Work Environment: 3-5 Days in our SF Office in Downtown in SF with lunch covered.</li>
</ul>
<p style="margin-top:24px;font-size:13px;color:#666;">XML job scraping automation by <a href="https://yubhub.co">YubHub</a></p>]]></Description>
      <Jobtype>full-time</Jobtype>
      <Experiencelevel>entry</Experiencelevel>
      <Workarrangement>onsite</Workarrangement>
      <Salaryrange>$100K–$120K annually</Salaryrange>
      <Skills>Python, JavaScript, TypeScript, TensorFlow, PyTorch, Scikit-learn, Google Cloud Platform, AWS, Machine learning principles, Retrieval-Augmented Generation (RAG) Pipelines, Continuous Learning</Skills>
      <Category>Engineering</Category>
      <Industry>Technology</Industry>
      <Employername>Wonderschool</Employername>
      <Employerlogo>https://logos.yubhub.co/wonderschool.com.png</Employerlogo>
      <Employerdescription>Wonderschool provides comprehensive support to childcare providers through technology. It offers a suite of tools to help providers manage their businesses and parents find childcare solutions.</Employerdescription>
      <Employerwebsite>https://www.wonderschool.com/</Employerwebsite>
      <Compensationcurrency></Compensationcurrency>
      <Compensationmin></Compensationmin>
      <Compensationmax></Compensationmax>
      <Applyto>https://job-boards.greenhouse.io/wonderschool/jobs/6359139003?utm_source=yubhub.co&amp;utm_medium=jobs_feed&amp;utm_campaign=apply</Applyto>
      <Location>San Francisco</Location>
      <Country></Country>
      <Postedate>2026-04-24</Postedate>
    </job>
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