Software Engineer, AI Enablement

<h2>About the role</h2> <p>As a <strong>Software Engineer</strong> on the <strong>AI Enablement</strong> team, you will contribute to the internal platforms, primitives, and guardrails that make AI a trusted co-pilot for employees across Chime.<br>You'll work on systems like <strong>Archimedes, 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 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.</p> <p>You'll collaborate with <strong>Platform Engineering, Security, Risk, Legal</strong>, and <strong>product </strong>teams 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 <span class="collapsed-field-text">$133,000.00</span>&nbsp; and up to <span class="collapsed-field-text">$184,000.00.</span> 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>In this role, you can expect to</h2> <ul> <li>Contribute to and extend internal AI platforms such as Archimedes, Bosun, and easyRAG, helping teams develop and scale LLM-powered applications and workflows</li> <li>Build reusable platform capabilities such as APIs, SDKs, templates, and shared services that make it easier to develop safe, high-quality AI-powered tools</li> <li>Prototype and productionize new AI capabilities alongside senior engineers, turning successful patterns into durable platform features</li> <li>Apply Chime's golden path patterns for LLM usage, and help refine them as you deepen familiarity with the systems</li> <li>Build features that let teams launch AI-powered assistants and workflows in a standardized, observable, and governed way</li> <li>Learn and apply 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 guardrails for responsible AI development and usage</li> <li>Collaborate with engineers across Chime to embed AI