Full Stack Engineer CMS Magnolia Veeva AWS AI Pharmaceutical

Job Description

Senior Full Stack Engineer, Applied AI

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We build and run websites,

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platforms and AI tools for pharma and life sciences brands, with teams in the US, Europe, the

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Philippines and New Zealand.

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You will join a project team as a senior engineer and grow into its technical lead: owning the

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roadmap and the solution, setting the architecture, guiding the developers, and owning delivery

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and success. As you grow, you'll take on technical direction across different client projects, from

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enterprise CMS platforms to web apps and AI builds for pharma and life sciences brands. You'll

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stay hands-on in the code throughout.

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● Own outcomes, not just code: architecture, quality, delivery, and whether it actually solves

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the client's problem.

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● Own the roadmap and solution design: decide with the client and our team what gets built,

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in what order, and why

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● Mentor developers and review their work

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● Build with TypeScript, Node.js and React across APIs, integrations and web apps

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● Integrate with enterprise systems, including content management systems (Magnolia) and

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pharma review platforms (Veeva)

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● Design and run services on AWS

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● Build AI-first: use agents like Claude Code to do the heavy lifting, and review their output

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as carefully as a teammate.

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● Turn client and product needs into technical plans and working demos

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● Own production support: monitoring, incident response and root-cause fixes

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● Work directly with clients and internal stakeholders, in plain language

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● 5+ years of full-stack development, including leading technical work on a project or

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mentoring other developers

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● Strong TypeScript and Node.js

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● React or a comparable modern front-end framework

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● Hands-on AWS (Lambda, API Gateway, S3, RDS or similar)

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● Relational databases (PostgreSQL or MySQL)

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● REST API design, CI/CD and security best practices

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● Real experience building with AI: coding assistants in your daily workflow, and ideally LLM

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features in production (prompting, context engineering, RAG or agents)

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Nice to have

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● Experience in a regulated industry (pharma, healthcare, finance)

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● Enterprise CMS experience (Magnolia, Sitecore, AEM or similar)

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● Java / Spring Boot

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● Infrastructure as code (Terraform, CloudFormation) and Docker

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