Senior Software Engineer, AI Enablement

<h2><strong>About the role</strong></h2> <p>As a <strong>Senior Software Engineer</strong> on the <strong>AI Enablement</strong> team, you will build the internal platforms, primitives, and guardrails that make AI a trusted co-pilot for employees across Chime.</p> <p>You’ll work on systems like <strong>Archimedes</strong>, <strong>Bosun</strong>, and <strong>easyRAG</strong> 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.</p> <p>This team defines Chime’s <strong>golden paths for AI</strong>: opinionated but flexible patterns that help teams move quickly while maintaining safety, reliability, cost control, and governance. In this role, you’ll help turn emerging AI capabilities into durable, reusable platform features that can be adopted across the company.</p> <p>You’ll partner closely with <strong>Platform Engineering, Security, Risk, Legal, and product teams</strong> to build scalable, well-governed systems that support internal AI use cases from early prototyping through production adoption.</p> <p>The base salary offered for this role and level of experience will begin at $164,000.00 and up to $227,000.00. 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.</p> <h2><strong>In this role, you can expect to</strong></h2> <ul> <li>Build and evolve internal AI platforms such as <strong>Archimedes, Bosun, and easyRAG</strong>, enabling teams to develop and scale LLM-powered applications and workflows</li> <li>Design and implement reusable platform capabilities such as APIs, SDKs, templates, and shared services that make it easier to build safe, high-quality AI-powered tools</li> <li>Prototype and productionize new AI capabilities, identifying high-leverage use cases and turning successful patterns into durable platform features</li> <li>Define and improve Chime’s <strong>golden path</strong> patterns for LLM usage, balancing developer velocity with safety, reliability, and cost efficiency</li> <li>Develop systems that let teams launch AI-powered assistants and workflows in a standardized, observable, and governed way</li> <li>Establish evaluation, observability, and cost-management practices across AI systems, including quality, latency, safety, and spend</li> <li>Partner with Security, Risk, and Legal to implement practical guardrails for responsible AI development and usage</li> <li>Drive consistency and standardization