Lead backend architecture for EIT’s LifeAI platform, combining production coding with agent orchestration, tool integration, and scientific workflow controls.

As a hands-on technical leader, you will guide AI engineers while owning engineering delivery for the science-agent platform. You will build on EIT’s existing agent framework and work with researchers, scientific product managers, and platform teams. Your work will support genomic analysis and protein design, helping scientists inspect, guide, and review running workflows. The position requires experience shipping multi-step agentic workflows with tool integrations and state management. It also calls for backend architecture ownership, maintainable APIs and data models, and practical reasoning about concurrency and partial failure.

Key Responsibilities:

- Define tool metadata and build the registry agents select from




- Build workflow selection and specialist-agent coordination loops
- Connect approvals, progress, and results to each workflow
- Extend execution for retries, timeouts, cancellations, and interruptions
- Own integration checks protecting supported workflows from silent breakage

Requirements:

- Production experience with multi-step agentic workflows
- Experience building human approvals and failure recovery
- Ownership of backend services others depend on
- Ability to design maintainable APIs and data models
- Use of logs, metrics, and traces to resolve production problems

Bring backend leadership, agent engineering, and workflow reliability expertise to EIT’s scientific LifeAI platform.

📌 Lead Backend Engineer AI Agents (Oxford)
🏢 Ellison Institute of Technology
📍 Oxford