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Role overview A senior engineering role on a small, focused AI product team building practical, customer-facing experiences for a retirement savings product.
Responsibilities • Design, build, and ship production features that use large language models to address real customer needs. • Implement and integrate LLM components such as prompting strategies, tool-use loops, retrieval-augmented generation flows, evaluation harnesses, and monitoring. • Make pragmatic architecture decisions, de-risk tricky areas, and keep workstreams unblocked. • Partner with product and design to refine concepts, shape scope, and iterate quickly on end-to-end experiences. • Collaborate with adjacent engineering teams to integrate with existing systems and resolve dependencies. • Write clear, reliable, well-tested code that ships quickly and scales appropriately.
Requirements • 7+ years of software engineering experience building and shipping production products or platforms. • Hands-on experience implementing LLM-powered features, for example RAG flows, agents, tool loops, or workflow automation with language models. • Strong engineering fundamentals across services, APIs, and data flows, with comfort spending most of the time coding. • Experience running or heavily contributing to a team's execution, including sprints, ticket tracking, scoping, and cross-functional coordination. • A bias to action: defaulting to trying things, iterating, and learning rather than waiting for direction. • Proficiency with Ruby on Rails (or a comparable language) and React (or a comparable frontend library). • Clear communication skills and the ability to work effectively with product, design, and other engineering teams without needing a formal management title.
Benefits and work setup • Targeted cash compensation of $187,000-$234,000 in Denver and most remote locations, and $227,000-$284,000 for San Francisco and New York, with final offers varying by experience and expertise. • Stock equity in addition to base pay. • Hybrid expectation of roughly 2-3 days per week in office for employees based in Denver, San Francisco, or New York; remote work permitted from other locations subject to a secure, reliable internet connection. • Full-time employees receive competitive base pay, benefits, and equity (RSUs).
The position centers on hands-on implementation of large language model features, end-to-end ownership of problems, and rapid iteration from idea to production. It suits an engineer who enjoys making pragmatic technical calls and collaborating closely with product and design partners.
Nice to have • Familiarity with evaluation, monitoring, and observability practices for AI-powered features. • Experience operating within hybrid, multi-office product organizations.
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