Software Engineer, AI Enablement

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. 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, competitive equity package, and benefits. The actual base salary offered may be higher, depending on your location, skills, qualifications, and experience. In this role, you can expect to [... source excerpt omitted ...] orkflows 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 Partner wit [... source excerpt omitted ...] oss Chime to embed AI into internal tools, workflows, and employee experiences To thrive in this role, you have 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 wi