Deployed AI Engineer

Cager is redefining how organisations deploy AI agents. Our zero-ops platform runs each agent in an isolated environment, fully separated from core business systems, while anomaly detection identifies model misbehaviour before it causes harm. Available as SaaS or on-premises, Cager enables organisations to adopt AI agents safely and with confidence.

We aim for 10x, not 10%. Every role contributes to a future where prevention is the norm and the internet is safer for everyone.

Own the deployment of Cager within client environments and ensure their first agents succeed. You will act as the technical bridge between client teams and Cager, translating field experience into product improvements.

• Initial pilot deployments, SaaS and on-premises, delivered from kick-off to production.
• Reusable deployment playbooks and integrations that accelerate every subsequent rollout.
• Structured client insight feeding directly into the product roadmap.

• Experience deploying software in customer environments, both cloud and on-premises.
• Proficiency in Python or TypeScript, with solid knowledge of Linux, containers and Kubernetes.
• Hands-on experience with LLMs and agent frameworks.
• Confidence working directly with client stakeholders.

• Background in solutions engineering or technical consulting.
• Experience in regulated industries.
• Clear communication, with the ability to explain trade-offs to clients, engineers and management alike.
• Fluency with modern AI tooling to increase productivity and quality.

• Client first. Every decision starts with the needs of the people we serve.
• 10x, not 10%. We pursue step changes, not incremental gains.
• Technology-enabled, human-centred. We build advanced systems for real people.
• Ownership. We deliver production-quality work, using AI tools to move faster while keeping judgement and accountability our own.
• Shared knowledge. We mentor, review each other's work and foster a culture of openness and continuous improvement.

Compensation will be confirmed following our initial funding round.