Artificial Intelligence Engineer

Explore Group; Reading; Hybrid; GBP 60,000 - 90,000; Full time

Job summary

Explore Group is seeking an experienced AI Engineer to design, build and deploy multi-agent AI solutions. You will take systems from design through live deployment in environments where robustness and security take priority.

This hands-on delivery role focuses on production impact, not research, with responsibilities spanning design, integration, deployment and monitoring of agent-based systems across cloud, on-premises and isolated environments.

Qualifications

• Commercial experience delivering multi-agent AI systems into production.
• Strong Python and hands-on experience with agent/orchestration frameworks.
• Experience deploying AI/ML solutions into live environments.
• Working knowledge of Docker, Git and cloud infrastructure (AWS preferred).
• Understanding of secure deployment approaches for isolated or restricted environments.

Responsibilities

• Design and build multi-agent systems using modern orchestration frameworks.
• Integrate large language models and vision-language models into operational workflows covering reasoning, search, summarisation and task automation.
• Deploy solutions across cloud, on-premises and disconnected/isolated environments.
• Build end-to-end pipelines covering data ingestion through to model inference.
• Implement monitoring for agent behaviour, model performance and failure conditions.
• Provide technical leadership on agentic AI approaches, supporting less experienced engineers

Skills

Multi-agent AI

Python

Orchestration frameworks

Docker

Git

AWS

MLOps

Secure deployments

Inter-agent communication

Technical leadership

Job description

We are looking for an experienced AI Engineer to design, build and deploy multi-agent AI solutions. The work involves taking systems from design through to live deployment, in environments where robustness and security take priority over speed of delivery.

This is a hands-on delivery role rather than a research or proof-of-concept position.

Key Responsibilities:

• Design and build multi-agent systems using modern orchestration frameworks.
• Integrate large language models and vision-language models into operational workflows covering reasoning, search, summarisation and task automation.
• Deploy solutions across cloud, on-premises and disconnected/isolated environments.
• Build end-to-end pipelines covering data ingestion through to model inference.
• Implement monitoring for agent behaviour, model performance and failure conditions.
• Provide technical leadership on agentic AI approaches, supporting less experienced engineers

Key Skills:

• Proven commercial experience delivering multi-agent or agentic AI systems into production.
• Strong Python skills and hands-on experience with agent/orchestration frameworks.
• Experience deploying AI/ML solutions into live environments.
• Working knowledge of Docker, Git and cloud infrastructure (AWS preferred).
• Understanding of secure deployment approaches for isolated or restricted environments.
• Container orchestration, MLOps and familiarity with inter-agent communication standards are desirable.
• 6-month rolling contract
• ASAP Start
• Hybrid