The opportunity
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,…
What you'll do
Contribute to and extend internal AI platforms such as Archimedes, Bosun, and: easyRAG, helping teams develop and scale LLM-powered applications and workflows
Build reusable platform capabilities such as APIs, SDKs, templates, and: shared services that make it easier to develop safe, high-quality AI-powered tools
Prototype and productionize new AI capabilities alongside senior engineers,: turning successful patterns into durable platform features
Apply Chime's golden path patterns for LLM usage, and help refine them as you: deepen familiarity with the systems
Build features that let teams launch AI-powered assistants and workflows in a: standardized, observable, and governed way
Learn and apply evaluation, observability, and cost-management practices: across AI systems — including quality, latency, safety, and spend
What they're looking for
- Partner with Security, Risk, and Legal to implement guardrails for responsible AI development and usage
- Collaborate with engineers across Chime to embed AI into internal tools, workflows, and employee experiences
- 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
