This role pays more than
86%
of similar roles. Most pay
$166,958–$225,800
— the shaded band above.
At the midpoint, this role pays about
$250k
versus about
$196k
for comparable roles.
Based on 240 similar postings.
Employer
About Betterment
Betterment is an automated investment service (robo-advisor) that uses technology to provide personalized investment management, retirement planning, and savings optimization at low cost for retail investors. Industry: Financial Technology & Wealth Management
Betterment currently has
9 open roles
on FindRole.
Listed pay typically runs
$155,000–$175,000
across 9 roles with salary data.
As a Sr. Staff Engineer on the AI Platform team, you will join a group of senior and staff engineers to build the foundational infrastructure, internal libraries, and evaluation frameworks that enable product teams to deploy AI-powered features. You will shape the technical direction of the AI product development strategy while collaborating with product and compliance partners to ensure all capabilities meet rigorous regulatory standards within a financial services environment. Your daily work involves leading high-leverage projects, mentoring engineers, and managing the full lifecycle of LLM systems, including prompt engineering and agentic workflows. You will utilize a technical stack featuring React, GraphQL, and server-side languages such as Ruby, Java, TypeScript, C#, or Python. The role focuses on solving the challenge of building scalable, auditable AI features while navigating complex regulatory requirements for customer-facing financial products.
What does a Engineer earn?
Median $185000 from 249 postings across 48 companies.
Define and lead the technical strategy for AI infrastructure, evaluation frameworks, and internal libraries.
Build shared tools and guardrails to enable product teams to deploy AI features quickly and safely.
Develop and ship customer-facing AI functionality in collaboration with product teams.
Partner with legal and compliance leaders to ensure AI products meet regulatory requirements.
Mentor senior engineers to expand their technical impact and accelerate their professional growth.
Manage the full lifecycle of LLM systems, including prompt engineering and agentic workflows.
Oversee production deployment by ensuring quality through automated monitoring and human-in-the-loop oversight.
What we're looking for
Must be a strong technical lead capable of establishing strategic vision and performing hands-on development.
Requires deep expertise in LLM systems, including prompt engineering, agentic workflows, and evaluation systems.
Must have experience operating AI features in production with automated monitoring and human-in-the-loop oversight.
Must demonstrate the ability to stay current with emerging tools and best practices in the evolving AI ecosystem.
Requires a proven track record of leading projects that impact development workflows across multiple teams.
Must possess fullstack development experience including React, GraphQL, and at least one server-side language like Ruby, Java, TypeScript, C#, or Python.
Must be able to make sound build versus buy decisions for technical infrastructure.
Requires the ability to build trust and processes that transcend different team boundaries and disciplines.
JavaScript
TypeScript
Python
Go
Swift
GenAI
Microservices
SRE
API Design
Distributed Systems
Data Processing
Software Engineering
Automation
Scalability
high-availability