Schwab is looking to solve the problem of transforming the financial industry and putting clients at the center of everything they do by leveraging Artificial Intelligence (AI) to enhance client experience and create business value.
Requirements
- 3+ years of software development experience and 1+ year of experience as a hands-on engineer in startups and/or large organizations
- 1+ year of experience developing applications that use Artificial Intelligence (AI) models to deliver business impact
- 1+ year of experience working with applications or data pipelines that interface with large datasets
- 1+ year of experience with containers and cloud-native applications, with exposure to deploying them in the public cloud using infrastructure as code
- Exposure to proprietary or open-source LLMs (Gemini, Claude, OpenAI or other models) and contributing to LLM-powered applications
- Experience with Python and front-end development is preferred but not required
- Commitment to quality in your work, with experience writing and maintaining tests
Responsibilities
- Contribute to the design, development, and delivery of GenAI applications that enhance client experience and create business value
- Collaborate with architects, engineers, and business leaders to ensure solutions align with Schwab’s enterprise strategy
- Work on solving complex technical challenges, support best engineering standards, and help drive iterations from concept to production
- Build solutions that matter to millions of clients
- Help to build strong engineering practices while fostering a culture of continuous learning
- Participate in technical discussions
- Help shape the next generation of AI at Schwab
Other
- Bachelor's degree in Computer Science or related field
- Strong communication skills – able to clearly share your perspective with others on the team, both verbally and in writing
- Interest in mentoring peers and learning from senior engineers through feedback and code reviews
- Ability to address complex problems, even with ambiguous or incomplete data, within distributed systems
- Master’s or advanced degrees in Computer Science or related fields are a plus
