Senior Full-Stack Engineer & Tech Lead GenAI for Pharma

Zohorecruit

San Francisco (CA)

On-site

USD 150,000 - 210,000

Full time

14 days+
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Job summary

Zohorecruit in San Francisco Bay Area is seeking a Sr Full Stack Engineer / Technical Lead to own system design and AI-driven initiatives. This on-site role collaborates with product managers, medical writers, and customer success to translate complex requirements into scalable backend solutions.

The ideal candidate has 3+ years of Python backend experience, GenAI/LLM expertise, and cloud deployment know-how. Interview stages include 3-4 rounds with a take-home code assessment.

Qualifications

  • 3+ years backend development with Python frameworks (FastAPI, Django, etc.).
  • Experience building GenAI applications, complex prompt engineering, data pipelines, evaluation frameworks, and RAG.
  • Experience deploying/scaling containerized applications in cloud environments (AWS preferred) and building CI/CD pipelines.
  • Ability to reason through ambiguous requirements and execute quickly without extensive oversight.

Responsibilities

  • System Design: Designing, building, and maintaining scalable backend systems in a production environment.
  • AI Implementation: Rapidly learning and applying new techniques in LLM development (fine-tuning, RAG, and prompt engineering).
  • Collaboration: Working across teams including product managers, medical writers, and customer success to translate requirements into technical solutions.

Skills

Backend Development
GenAI / AIML
Cloud & Infra
Communication

Tools

Python (FastAPI/Django)
AWS
CI/CD
Terraform
Pulumi
React

Job description

Zohorecruit in San Francisco Bay Area is seeking a Sr Full Stack Engineer / Technical Lead to own system design and AI-driven initiatives. This on-site role collaborates with product managers, medical writers, and customer success to translate complex requirements into scalable backend solutions.

The ideal candidate has 3+ years of Python backend experience, GenAI/LLM expertise, and cloud deployment know-how. Interview stages include 3-4 rounds with a take-home code assessment.

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