Staff, Full Stack Engineer

GSK; Bengaluru; On-site; INR 1,800,000 - 3,200,000; Full time

Job summary

GSK is seeking a Senior Full Stack Engineer II in India to design and ship AI-integrated features. You will prototype against real data and collaborate with business teams to define scalable solutions, owning quality and reusable components in a fast-paced environment.

Applicants bring extensive experience in Python and modern front-end tech, with GenAI patterns, evaluation pipelines, and production-grade monitoring experience. On-site Bengaluru preferred.

Qualifications

• 16+ years of overall professional experience, 10+ years in full-stack or AI/ML engineering.
• Experience delivering production deployments and shipping backend services and UI features.
• Strong Python and TypeScript/JavaScript/Go proficiency.
• Experience with GenAI patterns, evaluation pipelines and LLM monitoring in production.

Responsibilities

• Own use cases from problem framing through prototype to first production version.
• Qualify incoming asks: challenge underspecified problems, assess feasibility, define scope before starting work.
• Present evidence-based recommendations to continue or stop to leadership.
• Collaborate closely with business teams, prototyping against real data and workflows.

Skills

Python

TypeScript

JavaScript

Go

GenAI patterns

LLM monitoring

Education

Bachelor's degree in Computer Science, Data Science, Statistics, Applied Mathematics or related field

Job description

Job Purpose

Enterprise AI (EAI) builds AI products that combine real modelling work with user-facing applications, and ships them to production. Full Stack Engineers move across data, models, platforms, APIs and interfaces in a single workflow. In our operating model, digital workers do much of the hands‑on build. They generate services, APIs, interface components and tests, run evaluations and monitor what is in production. Our engineers set the architecture and standards that work is built to, and own the quality of what ships. EAI products and agents draw on a governed context layer that makes data, meaning, permissions and history retrievable at the moment they are needed. Full Stack Engineers build the products and agents that consume it, and decide how that context reaches users. The Full Stack Engineer II independently builds and ships AI-integrated features, working closely with GSK business teams to prototype against real data and workflows at a days-to-weeks cadence. The role owns the quality of what digital workers deliver in those features, makes evidence-based calls on what to continue or stop, and contributes reusable components others adopt.

Responsibilities

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.

Required skills

16+ years of overall professional experience & 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. A startup, lab or innovation-team background is an advantage. 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.

Education

Bachelor's degree in Computer Science, Data Science, Statistics, Applied Mathematics or a related field, or equivalent practical experience.

Preferred skills

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. Skills AI Platforms, AI Systems, Data Analysis, Full Stack Development, Machine Learning (ML), ML Platforms, Model Evaluation, Performance Analysis, Product Delivery, Product Design, Roadmap Development, Statistical Analysis.

Why GSK?

Unifying science, technology and talent to get ahead of disease together. GSK is a global biopharma company with a purpose to unite science, technology and talent to get ahead of disease together. We aim to positively impact the health of 2.5 billion people by the end of the decade, as a successful, growing company where people can thrive. We get ahead of disease by preventing and treating it with innovation in specialty medicines and vaccines. We focus on four therapeutic areas: respiratory, immunology and inflammation; oncology; HIV; and infectious diseases – to impact health at scale. People and patients around the world count on the medicines and vaccines we make, so we’re committed to creating an environment where our people can thrive and focus on what matters most. Our culture of being ambitious for patients, accountable for impact and doing the right thing is the foundation for how, together, we deliver for patients, shareholders and our people. Inclusion at GSK: As an employer committed to Inclusion, we encourage you to reach out if you need any adjustments during the recruitment process. Please contact our Recruitment Team at [e-mail] to discuss your needs.