Enterprise AI firm simplifying complex workflows

Senior Staff Engineer

San FranciscoOn-site$200K - $300K2 - 7 years
As a seasoned engineer at a growth-stage company, you'll lead the development of scalable AI solutions for financial services clients. Your expertise in machine learning and full-stack engineering will help replace manual workflows with automated, enterprise-grade systems. Collaborating with cross-functional teams, you'll design and implement Kubernetes-based architectures that integrate with Salesforce and other critical systems. Your work will have a direct impact on the company's continued growth and success in the B2B AI market.

What we're looking for

  • 2-7 years of experience in software development, AI, or a related field
  • Expertise in Kubernetes, machine learning, and full-stack engineering
  • Strong leadership skills, with experience in engineering leadership or a related role
  • Proficiency in integrating with Salesforce and other enterprise systems
  • Must be based in the United States.

Tech stack

KubernetesSalesforce

Apply for this role

This role is one we're recruiting for on behalf of a client company; the client's identity is kept confidential at this stage. A Fluency recruiter will follow up with details.