Early Career Software Engineer – Applied AI

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.