Staff Engineer, FinTech AI Platform

Krew; San Francisco (CA); On-site; USD 120,000 - 180,000; Full time

Job summary

Krew is hiring a backend/full-stack engineer in San Francisco to work closely with CxOs and cross-functional teams. You will deploy and integrate our platform with financial institutions, support PMO objectives, and build scalable integrations from data model to API to UI.

The role emphasizes hands-on coding, tests, reviews, and evolving engineering standards. Ideal candidates have finance or consulting exposure, strong backend skills (Python/Go), and a product mindset focused on quality and

Qualifications

• Internship or full-time work experience in full-stack or backend engineering.
• Internship or full-time work experience in investment banking or consulting.
• BA/BS or MA/MS in Computer Science, Physics, Mathematics, or another quantitative science.
• Experience with backend development using Python or Go.
• Strong code quality habits (testing, reviews, docs) and a product mindset.

Responsibilities

• Work alongside CxOs at leading NBFIs and FIs to deploy and integrate Krew's platform
• Support with change management and PMO objectives
• Develop software integrations with our partners
• Ship user-facing features end-to-end (from data model to API to UI)
• Collaborate closely with design, ops, and risk/compliance to ship safe, compliant features
• Write tests, enforce code quality, and participate in design/review discussions
• Help evolve our engineering standards and product development process

Skills

Full-stack/backend experience

Finance/Consulting experience

Product mindset

Code quality mindset

Education

CS/Physics/Math degree

Tools

Python

Go

Job description

Krew is hiring a backend/full-stack engineer in San Francisco to work closely with CxOs and cross-functional teams. You will deploy and integrate our platform with financial institutions, support PMO objectives, and build scalable integrations from data model to API to UI.

The role emphasizes hands-on coding, tests, reviews, and evolving engineering standards. Ideal candidates have finance or consulting exposure, strong backend skills (Python/Go), and a product mindset focused on quality and