Drimva

GSK

Senior, Full Stack Engineer

USA - Pennsylvania - Philadelphia +1 · Hybrid (Remote & On-site) · Senior · Full-time · Posted Oct 26, 2026

Location
USA - Pennsylvania - Philadelphia
Durham Blackwell Street
Experience
8+ years of combined experience across applied ML or data science and full-stack engineering.
Education
Bachelor's degree in Computer Science, Data Science, Statistics, Applied Mathematics or a related quantitative field, or equivalent practical experience.

About the job

Leads the design and delivery of a significant AI product area, spanning modelling workflows and user-facing applications, and establishes engineering standards and agentic systems for ongoing research and product iteration.

What you'll do

  • Set technical direction and architecture across modelling pipelines, APIs, AI integration, frontend, and LLMOps.
  • Design production agentic research and AI orchestration systems, including evaluation, monitoring, and responsible deployment.
  • Set engineering and agent-generated work standards, partner with product, design, and research, and mentor junior and mid-level engineers.

What they ask for

  • Bachelor's degree in a related quantitative field, or equivalent practical experience.
  • 8+ years of combined experience across applied ML or data science and full-stack engineering, including significant time leading delivery of complex, user-facing AI products.
  • Expertise across modelling and evaluation, frontend frameworks, backend services, and cloud deployment.
  • Experience leading multi-consumer API design, production-scale AI orchestration, frontend architecture and LLMOps, and agentic systems and AI-assisted development patterns adopted by a team.

Nice to have

  • Master's or PhD in a related quantitative field, or equivalent practical experience.
  • Experience leading AI products from build through scale, creating AI developer or research tooling, or working in a regulated industry.

Tools

React, Next.js, Python, TypeScript, AWS, Azure, GCP

AI focus

Builds and leads AI products and agents, including agentic research and product-iteration systems, production AI orchestration, evaluation, retrieval, tool use, LLMOps, and responsible deployment.

Model-written summary · the original posting is authoritative

First seen Oct 28, 2026 · Last verified Nov 4, 2026 (UTC)