Retirement AI Staff Engineer
Staff Engineer building and shipping LLM-powered retirement features end-to-end. Owns architecture decisions, integrates models, and collaborates closely with product and design.
About the job
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.
Skills
Ruby on Rails, React, LLMs, RAG, Prompt Engineering, APIs, Services, Data Flows, Jira, Cross-Functional Coordination
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