Backend Engineer - AI/ML Systems

evolve group San Francisco Bay Area
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AI Summary

Backend Engineer for AI/ML Systems to build core infrastructure for machine learning platform. 5+ years of backend software engineering experience required. Strong proficiency in Python and experience building production systems in high-bar engineering environments.

Key Highlights
Build core backend systems for machine learning inference pipelines
Design and implement services for data extraction from complex tax documents
Collaborate with customers to understand product needs
Key Responsibilities
Build core backend systems that deploy and scale machine learning inference pipelines
Design and implement services that extract structured data from complex tax documents
Drive architecture decisions for core platform services and internal tooling
Technical Skills Required
Python Django Google Cloud Platform Kubernetes
Benefits & Perks
$200k - $325k Base + Bonus + Stock Options
Visa Sponsorship
Relocation Package

Job Description


Member of Technical Staff — Backend (AI / ML Systems)


Location: San Francisco (Union Square)

Work Policy: Onsite – 5 Days per Week

Compensation: $200k – $325k Base + Bonus + Stock Options

Visa Sponsorship: Available


About the Role


A fast-growing AI company building infrastructure for automating complex financial and tax document workflows is hiring Backend Engineers / Member of Technical Staff to build the core systems powering its machine learning platform.


The company was recently acquired by a global enterprise technology leader, giving the team significant resources and long-term stability while maintaining the speed and ownership of an early-stage startup.


Engineers in this role will build the core infrastructure for ML inference, data extraction pipelines, and AI-powered automation systems used by major accounting firms and financial institutions.


This is a high-impact backend role where engineers own systems end-to-end and work directly with customers to shape product capabilities.


What You’ll Do


  • Build core backend systems that deploy and scale machine learning inference pipelines
  • Design and implement services that extract structured data from complex tax documents
  • Drive architecture decisions for core platform services and internal tooling
  • Integrate ML models, monitoring systems, and application layers into production systems
  • Develop backend services and database layers supporting product workflows
  • Build integrations with external vendor APIs and financial data sources
  • Collaborate on CI/CD systems and infrastructure to accelerate product development
  • Work directly with customers (accountants and financial teams) to understand product needs


Who You Are


  • 5+ years of backend software engineering experience
  • Strong proficiency in Python
  • Experience building production systems in high-bar engineering environments
  • Experience working with large datasets and data processing pipelines
  • Comfortable making architecture decisions and owning systems end-to-end
  • Strong product mindset and ability to collaborate directly with users
  • Demonstrated growth through promotions or increasing ownership in previous roles
  • Based in or willing to relocate to San Francisco (5 days in-office)


Tech Stack


  • Python
  • Django (or similar backend frameworks)
  • Google Cloud Platform (GCP)
  • Kubernetes
  • Workflow / data processing systems


Compensation & Logistics


Base Salary: $200k – $325k

Bonus + Stock Options: Included

Location: San Francisco

Work Policy: Full-time onsite (5 days/week)

Visa Sponsorship: Available


Interview process typically includes initial screening, technical interviews, and an onsite round.


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