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← Lila Sciences

Staff Engineer, Enterprise Externalization

Lila Sciences · San Francisco, CA USA · San Francisco, CA

CHECKED 14H AGO

Bio & Science AIonsitestaff$192k–$272k
Apply on the lab’s site ↗

At a glance

Highlights

  • Build enterprise platform enabling autonomous science at scale for pharma customers.
  • Drive multi-tenancy, audit logging and billing infrastructure to production.
  • Build AI-native external APIs and agentic self-service tenant management.

What they offer

  • Competitive base compensation with bonus potential
  • Generous early-stage equity
  • Medical, dental and vision coverage
  • Employer-paid life and disability insurance
  • Flexible time off with company holidays
  • Paid parental leave
  • Educational assistance program
  • Commuter benefits
  • Company subsidized lunch program

Ideal candidate

High-autonomy builder who thrives in ambiguity and owns outcomes end-to-end. You care about secure, scalable enterprise platforms that let large scientific organizations adopt AI-driven discovery.

Requirements

  • 8+ years of software development experience, with a focus on Enterprise SaaS product development
  • Deep expertise in enterprise SaaS platform systems: authentication/authorization (OAuth 2.0, OIDC, SAML), multi-tenancy, RBAC, billing/metering, configurations, SDK and APIs
  • Experience with modern cloud-native architectures (Kubernetes, Terraform, AWS/GCP) and event-driven systems, familiarity with infrastructure-as-code and containerized deployments
  • Track record building enterprise platforms in high-growth environments where speed-to-value mattered as much as long-term architecture
  • Strong cross-functional communication skills and the ability to influence architecture across teams
  • Hands-on coding in Python and modern backend frameworks (FastAPI, async Python)
  • BS, MS, or Ph.D. in Computer Science or a related field

Lab profile

About Lila Sciences

Building an autonomous science platform where AI, automation, and biology co-evolve for medicine and materials.

What they build

  • Autonomous Science Platform
  • AI-designed biologics validated in wet-lab
  • Electro-optic materials and photonic devices

Known for

  • Large-scale automated data generation
  • High-throughput protein purification and analytics
  • Protein design and BioML modeling
  • Robotic orchestration and lab simulation
More about Lila Sciences →
Apply on the lab’s site ↗