Job description

Cavendish Professionals is looking for an experienced Agent Platform Engineer to build and scale the infrastructure powering production AI agents. This is a hands-on engineering role focused on developing reliable, scalable backend systems that enable AI agents to execute complex workflows, interact with tools and process information intelligently. Key Responsibilities • Design and build scalable infrastructure for AI agents and LLM-powered applications. • Develop agent orchestration, tool calling, memory, state management and workflow execution systems. • Build reliable backend services, APIs and distributed systems. • Develop infrastructure for document processing, retrieval and structured data extraction. • Implement monitoring, observability, error handling and automated recovery. • Take ownership of platform architecture, development and deployment. Requirements • Strong backend software engineering experience, ideally with TypeScript/Node.js or Python. • Experience building production AI agents, LLM applications or AI infrastructure. • Strong understanding of distributed systems, asynchronous workflows and scalable architectures. • Experience with cloud infrastructure, APIs, databases and microservices. • Ability to build reliable, production-ready systems independently. Nice to Have • LangGraph, LangChain, Temporal or similar orchestration frameworks. • RAG, vector databases, document processing or multimodal AI. • Browser automation, computer-use agents or tool integrations. • Docker, Kubernetes, AWS and CI/CD. • Experience working in high-growth startups. Ideal Candidate A hands-on backend or platform engineer who has built and deployed real-world AI systems, understands the challenges of running autonomous agents in production and enjoys solving complex infrastructure problems. If you are interested, please upload an up-to-date copy of your CV. Cavendish (Recruitment) Professionals Ltd is proud to be an equal opportunities employer, and we believe that inclusion starts with the applicant. All qualified candidates will be considered for employment regardless of gender, race, age, sexual orientation, religion or belief.

Requirements

Must-haves

Cavendish Professionals is looking for an experienced Agent Platform Engineer to build and scale the infrastructure powering production AI agents.
This is a hands-on engineering role focused on developing reliable, scalable backend systems that enable AI agents to execute complex workflows, interact with tools and process information intelligently.
Design and build scalable infrastructure for AI agents and LLM-powered applications.
Develop agent orchestration, tool calling, memory, state management and workflow execution systems.
Build reliable backend services, APIs and distributed systems.
Develop infrastructure for document processing, retrieval and structured data extraction.
Implement monitoring, observability, error handling and automated recovery.
Take ownership of platform architecture, development and deployment.
Strong backend software engineering experience, ideally with TypeScript/Node.js or Python.
Experience building production AI agents, LLM applications or AI infrastructure.
Strong understanding of distributed systems, asynchronous workflows and scalable architectures.
Experience with cloud infrastructure, APIs, databases and microservices.
Ability to build reliable, production-ready systems independently.

Nice-to-haves

LangGraph, LangChain, Temporal or similar orchestration frameworks.
RAG, vector databases, document processing or multimodal AI.
Browser automation, computer-use agents or tool integrations.
Docker, Kubernetes, AWS and CI/CD.
Experience working in high-growth startups.
Ideal Candidate
A hands-on backend or platform engineer who has built and deployed real-world AI systems, understands the challenges of running autonomous agents in production and enjoys solving complex infrastructure problems.
If you are interested, please upload an up-to-date copy of your CV.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

aillmtypescriptnode.jspythondockerkubernetesawsci/cd

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