Staff, Full Stack Engineer

Overview

Full Stack Engineer II in Enterprise AI at GSK, independently building and shipping AI-integrated features, prototyping with business teams against real data and workflows at a days-to-weeks cadence.

What you'll do

• Own use cases from problem framing through working prototype and first production version, at a days-to-weeks cadence and without close supervision.
• Qualify incoming asks: challenge underspecified problems, assess feasibility and define scope before committing to work.
• At the end of each piece of work, form and defend an evidence-based recommendation to continue or stop, presented clearly to business and EAI leadership.
• Work closely with business teams, prototyping against real data and workflows and building trusted relationships with product owners and engineering leads.

What you'll need

• 16+ years of overall professional experience and 10+ years of full-stack or AI/ML engineering experience, including production deployments.
• Demonstrated ability to take ideas from sketch to working software at speed, independently and under time pressure.
• Strong proficiency in Python and at least one of TypeScript, JavaScript, Go or similar, with experience designing and shipping backend services and complete UI features.
• Hands-on experience with GenAI patterns: agents, multi-agent orchestration, RAG, tool use, prompt engineering and evaluation, including evaluation pipelines and LLM-specific monitoring in production.
• Daily use of AI coding agents as the primary mode of development, with sound judgement on what to accept, change or reject.
• A track record of raising team standards through code review and documentation, and of contributing reusable engineering patterns that others adopted.
• Bachelor's degree in Computer Science, Data Science, Statistics, Applied Mathematics or a related field, or equivalent practical experience.

Nice to have

• A startup, lab or innovation-team background.
• Prior experience as a Full Stack Engineer, Customer Engineer or Solutions Architect, ideally at an AI-native company or hyperscaler.
• Experience in regulated industries, such as life sciences, healthcare or financial services, and familiarity with GxP, GDPR and SOX.
• Working knowledge of fine-tuning fundamentals and Model Context Protocol (MCP) integrations.

Details

• Location: Bengaluru Luxor North Tower.