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Agentic AI Engineer
We're building a modern, cloud-native platform and evolving towards an agentic-first engineering model, where AI agents perform meaningful delivery and operational work alongside a small, highly experienced engineering team.
We're looking for an Agentic AI Engineer to design, build, and own the production platform that enables AI agents to operate safely and effectively. This role is about creating the infrastructure, tooling, and governance that allows autonomous systems to deliver real business value in production.
A key part of this role is determining when an AI agent is the right solution, and when a deterministic workflow is the better engineering choice. You'll help define this balance and play a central role in shaping AI adoption across the organisation.
What you'll do
- Design, build, and own the production platform that enables AI agents to perform real engineering and operational tasks
- Develop the tooling, orchestration, guardrails, evaluation frameworks, and execution patterns required for reliable autonomous systems
- Make architectural decisions around where agentic AI adds genuine value versus where traditional deterministic workflows are more appropriate
- Build evaluation frameworks for measuring the quality, reliability, and safety of non-deterministic AI outputs
- Collaborate closely with engineering teams to ensure autonomous systems can interact safely with code, infrastructure, and business-critical workflows
- Deliver production-ready AI agents that automate complex engineering and operational processes
- Help shape and evolve an AI-first operating model across the wider technology function
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Technology
You'll work with:
- Modern LLMs
- Agent orchestration frameworks
- Evaluation tooling
- Cloud-native infrastructure (AWS or similar)
- AI development ecosystems
- Open APIs
What we're looking for
- Proven experience building and operating production-grade agentic AI systems (not just prototypes or prompt engineering demonstrations)
- Strong understanding of:
- Agent orchestration
- Tool design
- Guardrails
- Evaluation for non-deterministic systems
- Experience designing secure autonomous workflows that interact with:
- Applications
- Codebases
- Cloud infrastructure
- Excellent judgement regarding when agentic AI is the best choice versus when deterministic automation delivers superior outcomes
- Strong fundamentals in:
- Software engineering
- Cloud architecture
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Nice to have
- Experience with leading foundation model providers and contemporary AI development ecosystems
- Background in applied AI research or LM experimentation
- Experience with:
- Retrieval systems
- RAG (Retrieval-Augmented Generation)
- Context engineering
- Knowledge systems
- Familiarity with cloud-native AI deployment and MLOps practices
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