Software Engineer III - Fullstack (Java, React, Python and AI) Engineer
- london, england, United Kingdom
- Job type not listed
- £70 - £100 Per Hour
Job Description
Join us to shape the future of web applications with innovative AI-driven solutions. You will have the opportunity to work across both backend and frontend technologies, collaborating with diverse teams to deliver impactful customer and internal platforms. Your expertise will help us build reliable integrations and drive experimentation and personalization. We value your passion for engineering excellence and your commitment to secure, compliant solutions. Discover a place where your skills and ideas can make a real difference.
As a Full Stack Engineer in our team, you will design, build, and support scalable web applications and integrations. You will leverage Java, Python, and React to deliver AI-enabled features and capabilities. Your role involves collaborating with product, marketing, and partners to translate requirements into technical solutions. You will contribute to AI initiatives, optimize data flows, and ensure our platforms meet security and compliance standards. Your work will help us deliver personalized and reliable experiences.
- Design, develop, test, and maintain full-stack features using Java, Python, React, and AI-enabled services
- Build reliable integrations with marketing systems such as CDP/CRM, campaign management, and attribution systems
- Implement and optimize data flows and event-driven pipelines to support segmentation, personalization, and measurement
- Leverages enterprise-authorized AI coding assist tools within the work environment to improve code quality, delivery speed, and productivity across complex deliverables (e.g., code generation/refactoring, unit test creation, documentation), while validating outputs through peer review, automated testing, and secure coding standards; contributes learnings and reusable patterns to improve broader team effectiveness.
- Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation.
- Contribute to AI-enabled initiatives for content generation, experimentation, personalization, and workflow automation
- Collaborate with product, marketing, and partners to translate requirements into well-designed technical solutions
- Improve engineering excellence through code reviews, test automation, CI/CD, observability, performance tuning, and operational best practices
- Ensure solutions meet security, privacy, and compliance expectations including consent management, data minimization, and access controls
- Proficiency in Java, Python, and React
- Strong backend and frontend engineering fundamentals
- Experience delivering customer-facing and internal platforms
- Ability to build integrations with systems such as CMS, CDP, and CRM
- Understanding of AI services and their integration into web applications
- Knowledge of data flows, event-driven pipelines, and personalization techniques
- Familiarity with security, privacy, and compliance requirements
- Hands-on experience using enterprise-authorized AI-assisted software development tools within the work environment (e.g., for coding, test creation, troubleshooting, or documentation) with demonstrated ability to critically evaluate, validate, and refine AI-generated outputs for correctness, performance, and security.
- Understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; ability to guide peers on safe and effective usage within team practice
- Commitment to engineering excellence and operational best practices
- Effective collaboration and communication skills
- Experience with campaign management and attribution systems
- Background in AI-enabled content generation, experimentation, or workflow automation
- Skills in test automation, CI/CD, and observability tools
- Experience optimizing performance and scalability
- Familiarity with consent management and data minimization practices
- Ability to drive innovation in personalization and measurement
- Experience working in cross-functional teams