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Ellison Institute of Technology

Interdisciplinary R&D translating science into products

AI Engineer

AI Application EngineeringConfirmed live in the last 24 hours
Full-timeOxford, UKNo salary listedHybrid

About the Job

Requirements

  • You have shipped multi-step agentic workflows with tool integrations and context management.
  • You have built reusable agent skills or tool interfaces, for example with Model Context Protocol (MCP).
  • You write application programming interfaces (APIs) and data-handling code with automated tests and version control.
  • You have integrated tools or services and handled invalid inputs, asynchronous execution, and partial failures.
  • You can turn examples and failure cases into repeatable evaluations and use evaluation results to change agent behavior.
  • You can work with domain experts and turn unfamiliar requirements into testable software.

Responsibilities

  • Turn scientific objectives and constraints into agent instructions, tool inputs, and candidate checks, working with scientists and product managers.
  • Build agent workflows that retrieve relevant evidence, propose design steps, and explain assumptions, uncertainties, and decisions requiring scientific review.
  • Integrate scientific tools, models, and calculators; validate inputs, interpret outputs, and handle failures.
  • Connect workflows to data storage, compute, approval, and progress-reporting capabilities, working with the data and platform teams.
  • Implement candidate generation, filtering, and ranking against agreed criteria. Prepare sequences and supporting results for scientist review and experimental testing, including gene synthesis where required.
  • Build workflow-specific reference cases and regression checks using shared evaluation tooling. Compare permitted models and configurations for task quality, completion, speed, and cost.
  • Investigate failures in reasoning, tool use, and execution; improve agent instructions, context handling, and code using evaluation results and scientist feedback.
  • Record input references, tool and model versions, parameters, and output locations so results can be inspected and reproduced.
  • Write tested, maintainable code, contribute to reviews, and support deployed workflows. Reuse components as scientific programmes expand.

Desired Qualifications

  • Familiarity with protein design, enzyme engineering, computational biology, or scientific software.
  • Experience integrating sequence or structure analysis, molecular modelling, or protein-design tools.
  • Experience with literature retrieval, evidence-linked reporting, or scientific data formats.
  • Familiarity with workflow engines, containers, cloud or high-performance computing (HPC) compute, and data-access controls.

About the Company

Ellison Institute of Technology

Interdisciplinary R&D translating science into products

The Ellison Institute of Technology unites science, engineering, policy, and entrepreneurship to tackle big global problems through four focus areas: Health, Medical Science & Generative Biology; Food Security & Sustainable Agriculture; Clean Energy Generation & Storage; and Artificial Intelligence & Robotics. It translates scientific discovery into commercial products and sustainable companies, reinvesting profits to fund more research; a key project is the GPAS bioinformatics platform for rapid pathogen analysis to help prevent pandemics. The institute differentiates itself through a deep alliance with the University of Oxford, an alliance faculty model that allows researchers to work across both institutions, and patient capital commitments to fund high-risk, high-reward research. Its goal is to solve global challenges by turning scientific breakthroughs into market-ready solutions and sustainable enterprises.

Company size
201-500
Company stage
Not listed
Total funding
Not listed
Headquarters
Oxford, United Kingdom
Founded
2023

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