Founding AI Platform Engineer for Scientist Workflows

Ellison Institute of Technology Oxford; Oxford; On-site; GBP 120,000 - 170,000; Full time

Benefits offered by this job

Enhanced holiday pay

Pension

Life Assurance

Income Protection

Private Medical Insurance

Hospital Cash Plan

Therapy Services

Perk Box

Electric Car Scheme

Job summary

Ellison Institute of Technology Oxford is seeking an experienced platform engineer to own the system architecture from model endpoints to the production interface. You will be the technical anchor for how AI models reach scientists and will help shape the path of an emerging product category.

You’ll begin as an individual contributor with potential to build a team, collaborating closely with scientists to turn insights into engineering priorities and fast, learnable prototypes.

Qualifications

• Built and shipped systems from scratch as a core engineer.

Responsibilities

• Build an agentic workflow for scientists end to end from model endpoints to the UI.
• Build and operate the technical foundations for agentic systems, including orchestration, tool interfaces, state management, evaluation, observability and failure recovery.
• Design evaluative frameworks to understand if the deployed model is working.
• Work directly with scientists, observe how they operate and translate learnings into engineering priorities.
• Synthesize knowledge from workflows to build generalisable capability.
• Partner with product, data and research to shape the roadmap and ship quickly in an emerging category.

Skills

Independent contributor

Full-stack development

Agentic AI products

APIs design

Observability

Tools

APIs

Data models

Testing

Deployment

Job description

Ellison Institute of Technology Oxford is seeking an experienced platform engineer to own the system architecture from model endpoints to the production interface. You will be the technical anchor for how AI models reach scientists and will help shape the path of an emerging product category.

You’ll begin as an individual contributor with potential to build a team, collaborating closely with scientists to turn insights into engineering priorities and fast, learnable prototypes.