Retirement AI Staff Engineer

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.

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).
• Strong engineering skills (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: default to trying things, iterating, and learning.
• Clear communicator who can work well with product, design, and other engineering teams.
• Experience with Ruby on Rails (or any comparable language), React (or any comparable library).

Nice-to-Haves

• AI experience and fluency with evolving AI tools.