Senior Web Developer

The Klick Group—comprising Klick Health (including Oxford PharmaGenesis, Klick Katalyst, and btwelve), Klick Media, Klick Applied Sciences (including Klick Labs), and Klick Consulting—is an ecosystem dedicated help life sciences brands achieve their full potential through best-in-class marketing and advertising, media, medical affairs and communications, market access, real-world evidence, and technology and analytics consulting — powered by 500+ in-house medical experts and award-winning data science and AI capabilities. Founded in 1997, we have offices in Toronto, New York, Oxford, London, Cambridge, Cardiff, Melbourne, Philadelphia, Saratoga Springs, São Paulo, and Singapore. One of the most-awarded health agencies on the planet, Klick is consistently recognized for its people-first culture as a Great Place to Work, Best Workplace for Women, Best Workplace for Inclusion, Most Admired Corporate Culture, and FORTUNE Best Workplace in Advertising. Klick also recently made history as Cannes Lions Healthcare Agency of the Year, Healthcare Network of the Year, and Independent Agency of the Year – Health.

About Our Technology Craft

Our Technology Craft powers Klick’s innovation through platforms, products, and emerging technologies. This craft enables scale, efficiency, and experimentation across the business. Technology teams transform ideas into functional, future-ready solutions. Their work supports both client delivery and internal growth.

Job Description

The Senior Web Developer builds and delivers production web experiences and supporting services for life sciences brands as part of Klick’s Full Stack + AI team. The role combines deep web engineering expertise with AI-native development practices, using coding agents, structured context, automated verification, and human review to improve delivery quality and efficiency. This individual leads technical delivery on projects, partners with Technical Directors and cross-functional teams, and mentors developers on engineering standards, accessibility, security, performance, and effective AI-assisted development.

What You’ll Do

• Design and operate agentic development workflows using tools such as Claude Code, Cursor, Codex, or equivalent, including task decomposition, project instructions, reusable prompts or skills, tool integrations, automated verification, and defined human review checkpoints.
• Own code quality across human- and AI-generated work by applying automated tests, type checks, linting, CI/CD gates, code review, OWASP-aligned security practices, WCAG 2.2 AA accessibility standards, and Core Web Vitals performance requirements.
• Build reliable integrations with headless or enterprise CMS platforms, APIs, analytics implementations, Google Tag Manager, and structured data layers while maintaining testability, maintainability, and appropriate handling of personal or confidential information.
• Lead technical estimation, documentation, risk identification, code review, and developer mentoring, communicating architecture decisions, scope assumptions, delivery risks, and AI development practices clearly to technical and non-technical stakeholders.

Qualifications

Required:

• Hands-on experience using AI coding agents such as Claude Code, Cursor, Codex, or equivalent as part of regular software delivery, including task planning, context or instruction management, automated verification, diff review, and documented human approval before production deployment.
• Experience building at least one production feature, internal tool, or workflow that integrates directly with an LLM API, with observable responsibility for implementation, testing, evaluation, security, or ongoing maintenance.
• Experience delivering accessible, secure, and performant web applications using WCAG 2.2 AA practices, OWASP-aligned controls, Core Web Vitals optimization, automated testing, Git workflows, CI/CD pipelines, and documented deployment or rollback processes.
• Experience leading technical delivery through estimation, architecture or implementation decisions, code review, risk management, and mentoring, with examples of communicating technical trade-offs to both engineering teams and non-technical stakeholders.
• Comfort and enthusiasm for using AI as a regular part of how work gets done.
• Experience with frameworks such as Next.js, Gatsby, or Astro and headless or enterprise CMS platforms such as Contentful, AEM, or Drupal, demonstrated through production web delivery.
• Experience implementing analytics using Google Tag Manager, GA4, and structured data layers, including event tracking, testing, or measurement requirements.
• Experience deploying web applications using AWS, Azure, or GCP, serverless services, Docker, or comparable cloud and container technologies.
• Experience building internal AI tools or a