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)