Early Career Software Engineer - Applied AI

Wonderschool3 months ago
San Francisco, CA, United States
Hybrid
Full-time
Junior Level (1-3 years)

Job Description

Position Overview

Wonderschool is harnessing the power of technology to support childcare providers at home, in government, and in non-profit sectors, creating high-quality environments and accessible solutions for parents. We are seeking a highly skilled and motivated Early Career Software Engineer with an interest in applied AI. In this role, you will lead software development initiatives, collaborate with cross-functional teams, and build scalable, AI-driven solutions that empower childcare providers and improve parent experiences. This position is on site in our San Francisco office (Tuesday, Wednesday, and Thursday) to foster collaboration.

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 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 a 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 for contextual, real-time responses.
  • Continuous Learning: Incorporate user feedback loops and data augmentation techniques to iteratively improve the performance and relevance of AI agents and RAG pipelines.

Benefits & Perks

  • 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 SF with lunch covered.

Required Skills

Scikit-learn
PyTorch
Python
Rasa
TypeScript
Google Cloud Platform
JavaScript
LangChain
AWS
TensorFlow