Senior Full-Stack Engineer, AI Drug Discovery Platform

True Talent Solutions Partners

San Francisco (CA)

On-site

USD 175,000 - 220,000

Full time

9 days ago

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Job summary

True Talent Solutions Partners in San Francisco is hiring an experienced backend engineer to build an AI platform for drug discovery and life sciences. You will shape foundational systems enabling researchers to work with complex scientific workflows.

You will own features end to end, design scalable backend services, APIs, and data pipelines while collaborating with AI scientists, product managers, and designers. This on-site role offers a competitive salary and visa sponsorship.

Qualifications

  • 10+ years of professional full-stack or backend engineering experience (excluding internships).
  • Experience building and owning production systems used by customers, ideally in a startup.
  • Strong Python and React skills; experience with backend services and REST APIs; Django a plus.
  • Experience with scalable systems, databases, and data-intensive apps; familiarity with GraphQL and cloud infra (AWS/GCP/Azure).
  • Bachelor's degree in CS, STEM, or related field.
  • Strong curiosity, clear communication, and interest in life sciences or drug discovery.

Responsibilities

  • Build product features and systems from the ground up across frontend and backend.
  • Design, develop, and own scalable backend services, APIs, and data pipelines across layers.
  • Ship production code within fast-moving cycles and iterate post-deployment.
  • Partner with engineers, PMs, designers, and AI scientists to turn workflows into high-performance software.
  • Own features end to end from development through production deployment and scaling.

Skills

Python
React
REST APIs
GraphQL
Data pipelines
Cloud infrastructure

Education

Bachelor's degree in CS or STEM

Tools

Django
AWS
GCP
Azure
GraphQL

Job description

True Talent Solutions Partners in San Francisco is hiring an experienced backend engineer to build an AI platform for drug discovery and life sciences. You will shape foundational systems enabling researchers to work with complex scientific workflows.

You will own features end to end, design scalable backend services, APIs, and data pipelines while collaborating with AI scientists, product managers, and designers. This on-site role offers a competitive salary and visa sponsorship.

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