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. Your expertise in delivery of high-quality software will be essential in driving the development of our cutting-edge applications.
Role OverviewWe are seeking an Early Career Software Engineer with an interest in applied AI to join our growing team. 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. This position is on site in our office in Rincon Hill, San Francisco, 5-6 days a week to allow for 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 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: 5-6 days a week in our office in Rincon Hill, San Francisco, with lunch covered.
