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Ellison Institute of Technology Oxford

AI Engineer

Ellison Institute of Technology Oxford

. Turn scientific objectives and constraints into agent instructions, tool inputs and candidate checks .

Posted 11/7/2026full-timeOxford • United KingdomMid-LevelSeniorWebsite

Core Competencies

Role fit
Core Competencies

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Demonstrates expertise in building and integrating multi-step agentic workflows, with a strong focus on tool integration, context management, and scientific evaluation. Proficient in writing maintainable code and collaborating with domain experts to develop testable software solutions.

Highest-signal resume keywords
Multi-Step Agentic Workflow DevelopmentAPI Development and Data HandlingTool Integration and Context ManagementScientific Software FamiliarityEvaluation and Testing Methodologies

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
Agent Instructions DevelopmentCode Writing and MaintenanceAutomated TestingData Handling CodeVersion ControlFailure InvestigationReusable Agent SkillsEvaluation Results ApplicationGene Synthesis PreparationRegression Checks
Soft Skills
Collaboration with Domain ExpertsCommunication of Scientific Concepts
Tools & Technologies
Workflow EnginesContainersCloud ComputingHPC ComputeData-Access Controls
Industry Keywords
Protein DesignEnzyme EngineeringComputational BiologyMolecular ModellingScientific Data Formats

Tech Stack

Tools & technologies
Cloud

About the role

Key responsibilities & impact
  • Turn scientific objectives and constraints into agent instructions, tool inputs and candidate checks
  • 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
  • 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
  • Work with scientific product managers, researchers and platform teams
  • Report to the Lead Software Engineer

Requirements

What you’ll need
  • Experience shipping multi-step agentic workflows with tool integrations and context management
  • Experience building reusable agent skills or tool interfaces, for example with MCP
  • Ability to write APIs and data-handling code with automated tests and version control
  • Experience integrating tools or services and handling invalid inputs, asynchronous execution and partial failures
  • Ability to turn examples and failure cases into repeatable evaluations
  • Ability to use evaluation results to change how an agent behaves
  • Ability to work with domain experts and turn unfamiliar requirements into testable software
  • Familiarity with protein design, enzyme engineering, computational biology or scientific software (optional)
  • Experience integrating sequence or structure analysis, molecular modelling or protein-design tools (optional)
  • Experience with literature retrieval, evidence-linked reporting or scientific data formats (optional)
  • Familiarity with workflow engines, containers, cloud or HPC compute, and data-access controls (optional)

Benefits

Comp & perks
  • Enhanced holiday pay
  • Pension
  • Life Assurance
  • Income Protection
  • Private Medical Insurance
  • Hospital Cash Plan
  • Therapy Services
  • Perk Box
  • Electric Car Scheme
  • Collaborative, inclusive and supportive work environment
  • Creative risks encouraged
  • Commitment to excellence