Retirement AI Staff Engineer

Gusto, Inc.•Quinte West, ON

16d•$164,000 - $247,000•Hybrid

About The Position

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. 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.

Requirements

7+ 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).

Responsibilities

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.