Fullstack Software Engineer (Agentic AI)

My client is seeking to recruit a Fullstack Software Engineer on an initial 12 month contract based in London. It is hybrid and will require 2x days onsite per week.

Key responsibilities

• Front end implementation for a React application
• Visualizing and interacting with scientific data and workflow progression
• Integration of AI/ML components with frontend, backend, data and compute infrastructure
• Responsible for high quality software implementations according to best practices, including automated test suites and documentation

• Develop, measure, and monitor key metrics for all tools and services and consistently seek to iterate on and improve them

• Participate in code reviews, continuously improving personal standards as well as the wider team and product
• Liaise with other technical staff and data engineers in the team and across allied teams, to build an end-to-end pipeline consuming other data products

Basic qualifications:

• Demonstrated experience with frontend software development (e.g. React)
• Demonstrated experience of Python development (e.g. using FastAPI)
• Bachelors degree in a relevant field (including computational, numerate or life sciences), or equivalent experience
• Cloud experience (e.g. Google Cloud and cloud run preferred) including core web application infrastructure is essential
• Strong skills in JavaScript/TypeScript and Python, ensuring best practices are followed for clean and scalable code
• Demonstrated ability to work directly with designers, particularly using Figma, to convert design prototypes into engaging and interactive applications
• Experience in using automated testing tools, including Playwright and Cypress, to create, maintain, and execute comprehensive test suites
• Sound understanding of web development best practices, modern design principles, and continuous integration workflows
• Knowledge of agile practices and able to perform in agile software development environments
• Strong knowledge of modern software development tools / ways of working (e.g. git/GitHub, DevOps tools for deployment) - should be able to show practice of commit early and deploy often

Preferred qualifications:

• Experience with Docker or containerized applications, especially architecture of multi-container applications
• Demonstrated experience with biological or scientific data (e.g. genomics, transcriptomics, proteomics), or pharmaceutical industry experience, especially design of data visualisations
• Knowledge of agent-based approaches (e.g. LangGraph, PydanticAI, AutoGen)