Fullstack Software Engineer (Agentic AI)
Posted Today by Adecco
Negotiable
Undetermined
Hybrid
City of London, UK
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 Front End, Back End, 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 Front End software development (eg React)
- Demonstrated experience of Python development (eg using FastAPI)
- Bachelors degree in a relevant field (including computational, numerate or life sciences), or equivalent experience
- Cloud experience (eg 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 (eg 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 (eg genomics, transcriptomics, proteomics), or pharmaceutical industry experience, especially design of data visualisations
- Knowledge of agent-based approaches (eg LangGraph, PydanticAI, AutoGen)
