Staff Full-Stack Engineer — AI Product & Platform Leader

GlaxoSmithKline

Philadelphia (Philadelphia County)

Hybrid

USD 180,000 - 240,000

Full time

5 days ago

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Job summary

GlaxoSmithKline is seeking a Staff Full Stack Engineer to set technical direction for the AI product stack across EAI. The role focuses on integration/orchestration architecture, agent-driven development, and AI-native experiences for scalable production systems.

You will shape API/platform standards, tooling, and platform coherence to improve reliability and developer productivity. The role emphasizes leadership of senior engineers, collaboration with research, product, design, data

Qualifications

Bachelor's degree in Computer Science, Data Science, Statistics, Applied Mathematics or related quantitative field, or equivalent practical experience.
10+ years of experience in applied machine learning (ML) or data science and full-stack engineering, including experience building and operating user-facing AI products.
Experience across the AI product stack, including modelling pipelines, evaluations, platforms and APIs, modern web frameworks, and data and cloud infrastructure.
Experience designing and operating production AI products, including LLM selection and integration, orchestration and tool-use architectures, retrieval and context integration using protocols such as MCP, safety, and cost, latency and quality optimisation.
Experience defining API, platform and frontend engineering standards for multiple teams, including interfaces designed for non-deterministic, agent-driven behaviour.
Experience building large language model operations (LLMOps), evaluation and monitoring infrastructure for production AI systems.
Experience defining and scaling agentic research and product workflows, such as auto-research, continuous evaluation and agent-driven application development.
Experience setting multi-quarter technical strategy across multiple engineering teams.
Prior Staff or equivalent experience at an organisation shipping non-trivial AI products that combine modelling and full-stack delivery.
Defined organisation-wide engineering strategy, particularly for agentic research and product workflows, and seen it through to measurable outcomes.