Backed by SoftBank VF, ICONIQ and Menlo.
About the role
As a Software Engineer on the AI Enablement team, you will contribute to the internal platforms, primitives, and guardrails that make AI a trusted co-pilot for employees across Chime. You'll work on systems like Archimedes, Bosun , and easyRAG that power internal AI assistants, developer workflows, and retrieval-backed applications. These platforms make it easier for teams across the company to build, adopt, and scale LLM-powered tools safely and effectively.
What they're looking for
- Experience as a software engineer with a track record of shipping production-quality features in a distributed system or platform environment
- Hands-on experience working with LLMs or ML services, or strong curiosity and a demonstrated ability to ramp quickly into AI-specific tooling
- Solid coding skills in at least one of Python, Go, or TypeScript/JavaScript, with comfort working across services, CLIs, and internal tooling
- An emerging platform mindset: you think about reuse and building for more than one consumer, not just solving the immediate problem
- Familiarity with — or eagerness to learn — AI-specific engineering concerns such as evaluation, prompt and version management, observability, cost control, safety, and data privacy
- Clear written and verbal communication skills, with the ability to explain technical tradeoffs to teammates and cross-functional partners
More about this role
As a Software Engineer on the AI Enablement team, you will contribute to the internal platforms, primitives, and guardrails that make AI a trusted co-pilot for employees across Chime.
You'll work on systems like Archimedes, Bosun , and easyRAG that power internal AI assistants, developer workflows, and retrieval-backed applications. These platforms make it easier for teams across the company to build, adopt, and scale LLM-powered tools safely and effectively.
This team defines Chime's golden paths for AI: opinionated but flexible patterns that help teams move quickly while maintaining safety, reliability, cost control, and governance. In this role, you'll build on and extend these patterns — shipping real features on production AI platforms while developing your depth in AI-specific engineering practices.
You'll collaborate with Platform Engineering, Security, Risk, Legal , and product teams to build scalable, well-governed systems that support internal AI use cases from early prototyping through production adoption.
The base salary offered for this role and level of experience will begin at $133,000.00 and up to $184,000.00. Full-time employees are also eligible for a bonus,...
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