At Schwab, the business problem is to transform the financial industry and put clients at the center of everything they do by leveraging Artificial Intelligence (AI) to enhance client experience and create business value.
Requirements
- 5+ years of software development experience and 3+ years as a hands-on engineer in startups and/or large organizations
- 3+ years of experience building complex products from scratch and supporting them in production environments
- 1+ years of experience developing applications that use Artificial Intelligence (AI) models to deliver business impact
- 2+ years of experience working with applications or data pipelines that interface with large datasets
- 2+ years 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
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
- Learn from senior engineers, participate in technical discussions, and help to build strong engineering practices while fostering a culture of continuous learning
- Work on solving complex technical challenges, support best engineering standards, and help drive iterations from concept to production
- Bring curiosity, creativity, and technical skill to help shape the next generation of AI at Schwab
- Design and deliver innovative AI solutions
- Build solutions that matter to millions of clients
Other
- Bachelor's degree in Computer Science or related field
- Commitment to quality in your work, with experience writing and maintaining tests
- 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
