AI Agent Engineer

Enterprise Digital Resources Limited; Greater London; On-site; GBP 70,000 - 100,000; Full time

Job summary

Enterprise Digital Resources Limited is seeking an AI Agent Engineer to design, develop, and deploy intelligent AI agents that automate business processes and perform complex, multi-step tasks. You will blend software engineering with expertise in large language models, agent architectures, API integrations, and workflow automation.

You will design multi-step agents, integrate models with external systems, and deploy reliable AI-powered solutions that deliver measurable value.

Qualifications

• Practical software engineering experience with AI and ML.
• Experience integrating with APIs and business applications.
• Ability to design, prototype, and deploy AI-powered solutions.

Responsibilities

• Design and build AI agents capable of executing multi-step tasks.
• Integrate AI models with external APIs, business apps, databases, and knowledge sources.
• Develop automated workflows using AI and conventional software.
• Implement tool calling, structured outputs, memory, and retrieval where appropriate.
• Build systems that handle errors, unexpected inputs, and human approval requirements.
• Evaluate agent performance and improve accuracy, reliability, efficiency.
• Deploy, monitor, and maintain AI-powered applications.
• Identify opportunities to automate business processes using AI.

Job description

We are looking for an AI Agent Engineer to design, develop, and deploy intelligent AI agents that automate business processes and perform complex, multi-step tasks.

The successful candidate will combine practical software engineering skills with expertise in large language models, AI agent architectures, API integrations, and workflow automation.

Responsibilities

• Design and build AI agents capable of executing multi-step tasks.
• Integrate AI models with external APIs, business applications, databases, and internal knowledge sources.
• Develop automated workflows using AI and conventional software.
• Implement tool calling, structured outputs, memory, and retrieval where appropriate.
• Build systems that can handle errors, unexpected inputs, and human approval requirements.
• Evaluate agent performance and improve accuracy, reliability, and efficiency.
• Deploy, monitor, and maintain AI-powered applications.
• Identify opportunities to automate business processes using AI.

The successful candidate will be able to take a business problem, design an appropriate AI-powered solution, build a working prototype, integrate it with relevant systems, and deploy a reliable solution that delivers measurable value.

Candidates should demonstrate practical results through working projects, code samples, or live demonstrations.