Software Engineer, Jade - AI Financial Partner
About The Position
Chime is seeking a software engineer to build and improve Jade, its AI financial partner that helps members understand and manage their money. The engineer will work on the backend services, APIs, and integrations that enable members to interact with AI within the Chime experience. The backend primarily uses Python, though engineers with strong experience in other languages are welcome to learn it. The role focuses on delivering member-facing capabilities and improving the quality, reliability, and performance of the AI-powered product. Prior AI or machine learning specialization is preferred but not required, and the team offers opportunities to develop knowledge in the area. The engineer will own scoped features from technical design through implementation and rollout, with teammate feedback and support. They will collaborate across engineering, product, design, and data, contributing to a useful member experience through practical problem-solving, strong engineering fundamentals, and curiosity.
Requirements
- At least 2 years developing software in a production environment at scale.
- Proficiency in a backend programming language such as Python, Go, or Ruby, and ability to write clean, maintainable, well-tested code.
- Experience building backend services or applications, including working with APIs and databases.
- Strong systems thinking, including reasoning about system components, data flow, and potential failures.
- Understanding of distributed systems fundamentals, including service communication, reliability, and trade-offs involving latency, consistency, and scale.
- Strong problem-solving and debugging skills, including the ability to break work into manageable steps and explain technical choices.
- Collaborative approach, clear communication, and willingness to ask questions, incorporate feedback, and learn unfamiliar technologies.
Nice To Haves
- Experience with Python and its backend development ecosystem.
- Familiarity with large language models (LLMs), including using model APIs, prompts, or tools to build applications.
- Exposure to AI evaluations (“evals”), such as using test cases, datasets, or experiments to measure response quality and identify regressions.
- Familiarity with AI tools and frameworks such as LangSmith, LangChain, LangGraph, Amazon Bedrock, or comparable platforms; experience with any particular tool is not expected.
- Experience deploying and supporting a production application, including monitoring, troubleshooting, or working with cloud infrastructure.
- AI exposure through professional work, personal projects, or hands-on learning.
Responsibilities
- Design, build, and test backend services and APIs that power Jade’s capabilities.
- Build integrations connecting AI models with member data, tools, and Chime services.
- Own scoped features from technical design through implementation and rollout, incorporating feedback and support from teammates.
- Contribute to automated evaluations, testing, and experiments to understand model behavior, measure quality, and catch regressions.
- Improve system reliability, performance, and observability, and help investigate production issues.
- Partner with engineering, product, design, and data teammates to understand member needs and iterate on useful experiences.
Benefits
- Full-time employees may be eligible for bonuses, competitive equity, and benefits.
- Backup child, elder, and pet care.
- Subsidized commuter benefits for eligible employees.
- Comprehensive health, financial, and wellbeing benefits.
- Generous vacation policy and company-wide paid days off.
- 1% of time off to support local community organizations of the employee’s choice.
- Annual wellness stipend for eligible wellness-related expenses.
- Up to 22 weeks of paid parental leave for birthing parents and 12 weeks for non-birthing parents.
- Family planning reimbursement.
- Four days a week in the office and Fridays from home for employees near an office; a fully remote program is also available.
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Education Level
No Education Listed
