Staff Fullstack Engineer — Build AI-Driven Biomed Platform

Causaly; Greater London; On-site; GBP 90,000 - 130,000; Full time

Benefits offered by this job

Competitive compensation

Private medical insurance

Life insurance 4x salary

Personal development budget

Wellbeing budget

25 days holiday

Birthday off

Job summary

Causaly is seeking a Staff Fullstack Engineer to design and build scalable web applications for its AI-powered biomedical platform. You will work across the full stack, collaborating with product and research teams to deliver features, ensure performance, and maintainability across deployments.

The role emphasizes back-end focus with JavaScript/TypeScript, Node.js, and relational databases, while offering opportunities to work with Graphs, search technologies, and cloud services in a

Qualifications

• Back-end applications experience
• Strong JavaScript
• Familiarity with Node.js
• Experience with TypeScript
• Knowledge of web architecture (URIs, HTTP, caching)
• Proficiency with Git version control
• Familiarity with UNIX terminal
• Excellent English (verbal and written)
• Relational databases experience
• Preferred: Knowledge Graphs & graph DBs (Neo4J)
• Preferred: Full-Text search (Elasticsearch)
• Preferred: GraphQL
• Preferred: Docker
• Preferred: functional programming
• Preferred: AWS or Google Cloud

Responsibilities

• Design and build scalable, reliable, and maintainable web applications.
• Collaborate with product and research teams to ship new features.
• Contribute to the full development lifecycle from requirements gathering to deployment and monitoring.

Job description

Causaly is seeking a Staff Fullstack Engineer to design and build scalable web applications for its AI-powered biomedical platform. You will work across the full stack, collaborating with product and research teams to deliver features, ensure performance, and maintainability across deployments.

The role emphasizes back-end focus with JavaScript/TypeScript, Node.js, and relational databases, while offering opportunities to work with Graphs, search technologies, and cloud services in a