- Страна
- США
- Зарплата
- 191 000 $ – 279 000 $
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Retirement AI Senior Staff Engineer
Высокая оценка обусловлена сильным брендом компании, конкурентной зарплатой и возможностью работать над передовыми AI-продуктами в опытной команде. Прозрачная вилка оплаты и фокус на практическом применении технологий делают вакансию очень привлекательной.
Сложность вакансии
Роль Senior Staff уровня требует более 10 лет опыта и глубоких знаний в области LLM (RAG, агенты). Высокая сложность обусловлена необходимостью совмещать написание кода с архитектурным лидерством и кросс-функциональным взаимодействием.
Анализ зарплаты
Предлагаемая зарплата ($191k - $279k) полностью соответствует и даже местами превышает рыночные стандарты для Senior Staff Engineer в США, особенно с учетом дополнительного опциона (equity). Верхняя граница диапазона ориентирована на высококонкурентные рынки Нью-Йорка и Сан-Франциско.
Сопроводительное письмо
I am writing to express my strong interest in the Retirement AI Senior Staff Engineer position at Gusto. With over a decade of experience in software engineering and a proven track record of implementing production-ready LLM features, including RAG flows and autonomous agents, I am excited about the opportunity to bring my technical expertise to your focused AI product team. My background in building scalable services with Ruby on Rails and React, combined with a pragmatic approach to architecture, aligns perfectly with Gusto's mission to simplify complex financial processes for small businesses.
Throughout my career, I have maintained a strong bias to action, consistently delivering end-to-end features that solve real customer problems. I thrive in collaborative environments where I can partner closely with product and design teams to iterate quickly and de-risk technical challenges. I am particularly drawn to Gusto's commitment to building practical, high-impact AI experiences, and I am eager to contribute to the evolution of Gusto Retirement by shipping reliable, well-tested code that scales with your growing customer base.
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Откликнитесь в gusto уже сейчас
Присоединяйтесь к Gusto, чтобы создавать инновационные AI-решения для пенсионных накоплений и влиять на жизнь миллионов владельцев малого бизнеса!
Описание вакансии
About Gusto
At Gusto, we're on a mission to grow the small business economy. We handle the hard stuff—like payroll, health insurance, 401(k)s, and HR—so owners can focus on their craft and customers. With teams in Denver, San Francisco, and New York, we’re proud to support more than 400,000 small businesses across the country, and we’re building a workplace that represents and celebrates the customers we serve. Learn more about our Total Rewards philosophy.
About the Role:
You’ll be a key engineer helping us ship real, user-facing AI at Gusto Retirement. This role is all about bias to action: owning problems end-to-end, getting working software in front of customers, and iterating quickly. You’ll work closely with a small, senior team to implement language-model-powered experiences. If you like being hands-on, making pragmatic technical decisions, working closely with product & design partners, and turning ideas into production features, you’ll be a great fit.
About the Team:
We’re a small, focused AI product team building practical, high-impact experiences to help people save for retirement at Gusto Retirement. The team is senior, collaborative, and very execution-focused—PMs bring strong ideas, and we own the execution fully. We work closely with product, design, and partner engineering teams, but keep tight ownership of our priorities and roadmap.
Here’s what you’ll do day-to-day:
- Design, build, and ship production features that use large language models to solve real customer problems.
- Implement and integrate LLMs (prompting, tool loops, evaluation, monitoring, etc).
- Make pragmatic architecture decisions, de-risk tricky areas, and keep the work unblocked.
- Partner with product and design to refine ideas, shape scope, and iterate quickly on end-to-end experiences.
- Collaborate with other engineering teams to integrate with existing systems and unblock dependencies.
- Write clear, reliable, well-tested code that ships quickly and scales well.
Here’s what we're looking for:
- 10+ years of software engineering experience building and shipping production products or platforms
- Hands-on experience implementing LLM-powered features (e.g., RAG flows, agents, tool loops, workflow automation with language models, etc)
- Strong engineering skills (e.g., services, APIs, data flows); comfortable spending most of your time coding.
- Experience running or heavily contributing to a team’s execution: sprints, Jira, scoping, and cross-functional coordination.
- Bias to action: you default to trying things, iterating, and learning, rather than getting stuck in analysis or waiting for direction.
- Clear communicator who can work well with product, design, and other engineering teams without needing a formal management title.
- Experienced with Ruby on Rails (or any comparable language), React (or any comparable library).
Please note that travel to Gusto’s Denver office for onboarding is required for this position. If you have any questions regarding this requirement, please share with your recruiter.
Our cash compensation amount for this role is targeted at $191,000/yr to $237,000/yr in Denver & most remote locations, and $225,000/yr to $279,000/yr for San Francisco, Seattle & New York. Stock equity is additional. Final offer amounts are determined by multiple factors including candidate experience and expertise and may vary from the amounts listed above.
Gusto has physical office spaces in Denver, San Francisco, and New York City. Employees who are based in those locations will be expected to work from the office on designated days approximately 2-3 days per week (or more depending on role). The same office expectations apply to all Symmetry roles, Gusto's subsidiary, whose physical office is in Scottsdale.
Note: The San Francisco office expectations encompass both the San Francisco and San Jose metro areas.
When approved to work from a location other than a Gusto office, a secure, reliable, and consistent internet connection is required. This includes non-office days for hybrid employees.
Our customers come from all walks of life and so do we. We hire great people from a wide variety of backgrounds, not just because it's the right thing to do, but because it makes our company stronger. If you share our values and our enthusiasm for small businesses, you will find a home at Gusto.
Gusto is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic. Gusto considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Gusto is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. We want to see our candidates perform to the best of their ability. If you require a medical or religious accommodation at any time throughout your candidate journey, please fill out this form and a member of our team will get in touch with you.
Gusto takes security and protection of your personal information very seriously. Please review our Fraudulent Activity Disclaimer.
Personal information collected and processed as part of your Gusto application will be subject to Gusto's Applicant Privacy Notice.
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Навыки
- LLM
- Large Language Models
- RAG
- Ruby on Rails
- React
- API
- Software Architecture
- Prompt Engineering
- Jira
Возможные вопросы на собеседовании
Проверка практического опыта работы с LLM в продакшене.
Расскажите о наиболее сложной проблеме, с которой вы столкнулись при внедрении LLM-агентов или RAG-систем, и как вы её решили?
Оценка навыков проектирования систем и интеграции.
Как бы вы спроектировали систему мониторинга и оценки качества ответов LLM для финансового продукта, где точность критически важна?
Проверка соответствия культуре 'bias to action'.
Приведите пример ситуации, когда вам пришлось принимать прагматичное техническое решение в условиях неопределенности, чтобы не блокировать запуск продукта.
Оценка лидерских качеств без формального управления.
Как вы подходите к координации работы между несколькими инженерными командами при реализации сложной сквозной функции?
Проверка технических навыков в стеке компании.
Какие архитектурные паттерны в Ruby on Rails вы считаете наиболее эффективными для обработки асинхронных потоков данных от AI-сервисов?
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- Страна
- США
- Зарплата
- 191 000 $ – 279 000 $