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Software Engineer, AI Financial Actions

SoFi

Software Engineer, AI Financial Actions

SoFi

Seattle, Washington; San Francisco, CA

·

On-site

·

Full-time

·

1w ago

Benefits & Perks

Healthcare

401(k)

Equity

Healthcare

401k

Equity

Required Skills

Java

Kotlin

Programming

Relational databases

Code review

Collaborative development

Employee Applicant Privacy Notice

Who we are:

Shape a brighter financial future with us.

Together with our members, we’re changing the way people think about and interact with personal finance.

We’re a next-generation financial services company and national bank using innovative, mobile-first technology to help our millions of members reach their goals. The industry is going through an unprecedented transformation, and we’re at the forefront. We’re proud to come to work every day knowing that what we do has a direct impact on people’s lives, with our core values guiding us every step of the way. Join us to invest in yourself, your career, and the financial world.

The role:

We are seeking a Software Engineer to join So Fi’s AI Financial Actions & Recommendations team. This team is building the intelligence layer that powers So Fi’s Financial AI Agent — turning member goals and financial data into trusted, actionable recommendations and seamless execution opportunities across the So Fi ecosystem. You will have the opportunity to design and build a high-impact service from the ground up, shaping the architecture and systems that connect financial guidance to real-world action. This role will work at the forefront of Generative AI, integrating with So Fi’s Financial AI Agent to deliver intelligent, context-aware, and compliant experiences that help members take confident financial steps.

The ideal candidate is collaborative, product-minded, and pragmatic, with a strong sense of ownership and accountability for the quality of both the code and finished product. At So Fi, we pride ourselves on the collaboration between Product, Design and Engineering and so you will be involved in the entire product lifecycle, from ideation through building, deploying and continual improvement and evolution. We also pride ourselves on a philosophy of continuous learning, and you should likewise be committed to furthering your own career growth as well as to providing mentorship for your fellow team members.

What you’ll do:

  • Development, testing and deployment of software systems

  • Actively participate in reviews to ensure code quality, efficiency, and adherence to best practices

  • Execute on well defined technical tasks and user stories with high quality in a timely manner

  • Help translate product requirements into technical solutions

  • Communicate with project leads, product managers and other software developers

  • Adapt existing practices, processes and frameworks to deliver tasks

  • Collaborate with peers as well as cross functional teams to coordinate and deliver projects

What you’ll need:

  • Bachelor’s Degree, ideally in a technical field, but we understand great engineers come from all sorts of different backgrounds and also consider relevant work experience

  • 2+ years programming experience, ideally on a modern stack

  • Our core stack is Kotlin / Spring / PostgreSQL / Dynamo Db, and we run on Kubernetes in a service oriented architecture with over 100 services in production.

  • You should have 1+ years Java or Kotlin programming experience

  • You should have a basic understanding of relational databases

  • Experience working in a collaborative coding environment, refining designs together, working through code reviews and managing pull requests

Nice to have:

  • Experience working with LLM technologies, such as agents, prompt engineering and evaluation

  • Experience working with asynchronous systems and event based systems (queues, streams)

  • Experience working with SQL databases and/or No-SQL databases

  • Experience scaling highly available, mission critical systems

Compensation and Benefits

The base pay range for this role is listed below. Final base pay offer will be determined based on individual factors such as the candidate’s experience, skills, and location.

To view all of our comprehensive and competitive benefits, visit our Benefits at So Fi page!
So Fi provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion (including religious dress and grooming practices), sex (including pregnancy, childbirth and related medical conditions, breastfeeding, and conditions related to breastfeeding), gender, gender identity, gender expression, national origin, ancestry, age (40 or over), physical or medical disability, medical condition, marital status, registered domestic partner status, sexual orientation, genetic information, military and/or veteran status, or any other basis prohibited by applicable state or federal law.
The Company hires the best qualified candidate for the job, without regard to protected characteristics.
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
New York applicants: Notice of Employee Rights
So Fi is committed to an inclusive culture. As part of this commitment, So Fi offers reasonable accommodations to candidates with physical or mental disabilities. If you need accommodations to participate in the job application or interview process, please let your recruiter know or email accommodations@sofi.com.
Due to insurance coverage issues, we are unable to accommodate remote work from Hawaii or Alaska at this time.

Internal Employees

If you are a current employee, do not apply here - please navigate to our Internal Job Board in Greenhouse to apply to our open roles.

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About SoFi

SoFi

SoFi

Public

SoFi Technologies, Inc. is an American financial technology company. Founded in 2011 by Stanford University students, it operates as a nationally chartered online bank and is a technology provider to other financial institutions. SoFi is the largest U.S.

1,001-5,000

Employees

San Francisco

Headquarters

Reviews

3.3

25 reviews

Work Life Balance

3.2

Compensation

4.1

Culture

3.4

Career

3.6

Management

3.3

65%

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Pros

Great benefits and compensation

Understanding and caring management

Remote work flexibility

Cons

Long hours and high workload stress

Poor communication between departments

Bureaucratic processes and red tape

Salary Ranges

6 data points

Junior/L3

Principal/L7

Senior/L5

Staff/L6

Junior/L3 · Baseline Data Scientist

0 reports

$206,850

total / year

Base

-

Stock

-

Bonus

-

$175,823

$237,878

Interview Experience

6 interviews

Difficulty

2.7

/ 5

Duration

14-28 weeks

Offer Rate

33%

Experience

Positive 33%

Neutral 50%

Negative 17%

Interview Process

1

Application Review

2

Online Assessment

3

Recruiter Screen

4

Technical Interview

5

Behavioral Interview

6

Onsite/Virtual Interviews

7

Offer

Common Questions

Coding/Algorithm

Technical Knowledge

Behavioral/STAR

System Design

Culture Fit