Asks for

The ad says“Understanding of authentication, networking, access control and enterprise security.”
The ad says“Practical understanding of LLMs, agentic AI, tool calling and retrieval-augmented generation.”
The ad says“Experience building APIs, services and data pipelines, with Docker and cloud or on-premises deployments.”
The ad says“Understanding of authentication, networking, access control and enterprise security.”
The ad says“Strong troubleshooting skills across application, AI, infrastructure, network and data layers.”
The ad says“Experience building APIs, services and data pipelines, with Docker and cloud or on-premises deployments.”
The ad says“Experience building APIs, services and data pipelines, with Docker and cloud or on-premises deployments.”
The ad says“Understanding of authentication, networking, access control and enterprise security.”
The ad says“Strong troubleshooting skills across application, AI, infrastructure, network and data layers.”
The ad says“Practical understanding of LLMs, agentic AI, tool calling and retrieval-augmented generation.”
The ad says“Experience implementing monitoring, logging and operational support for production systems.”
The ad says“Experience implementing monitoring, logging and operational support for production systems.”
The ad says“Strong troubleshooting skills across application, AI, infrastructure, network and data layers.”
The ad says“Understanding of authentication, networking, access control and enterprise security.”
The ad says“Strong Python programming and production software-engineering skills.”
The ad says“Practical understanding of LLMs, agentic AI, tool calling and retrieval-augmented generation.”
The ad says“Strong Python programming and production software-engineering skills.”
The ad says“Practical understanding of LLMs, agentic AI, tool calling and retrieval-augmented generation.”
The ad says“Strong troubleshooting skills across application, AI, infrastructure, network and data layers.”

Values

The ad says“Experience implementing AI evaluation, observability, tracing and performance monitoring.”
The ad says“Experience with LangGraph, AutoGen, smolagents or similar frameworks.”
The ad says“Experience with high availability, autoscaling, load testing, incident management or restricted environments.”
The ad says“Experience with Azure, AWS or Google Cloud, Kubernetes, Helm, Terraform and CI/CD technologies.”
The ad says“Experience with Azure, AWS or Google Cloud, Kubernetes, Helm, Terraform and CI/CD technologies.”
The ad says“Experience with Azure, AWS or Google Cloud, Kubernetes, Helm, Terraform and CI/CD technologies.”
The ad says“Experience deploying agentic or generative AI applications in production.”
The ad says“Experience with Azure, AWS or Google Cloud, Kubernetes, Helm, Terraform and CI/CD technologies.”
The ad says“Experience with Azure, AWS or Google Cloud, Kubernetes, Helm, Terraform and CI/CD technologies.”
The ad says“Experience with high availability, autoscaling, load testing, incident management or restricted environments.”
The ad says“Experience with high availability, autoscaling, load testing, incident management or restricted environments.”
The ad says“Experience with Azure, AWS or Google Cloud, Kubernetes, Helm, Terraform and CI/CD technologies.”
The ad says“Experience with LangGraph, AutoGen, smolagents or similar frameworks.”
The ad says“Experience with Model Context Protocol, model-serving platforms, vector databases and LLM gateways.”
The ad says“Experience with high availability, autoscaling, load testing, incident management or restricted environments.”
The ad says“Experience with Model Context Protocol, model-serving platforms, vector databases and LLM gateways.”
The ad says“Experience implementing AI evaluation, observability, tracing and performance monitoring.”
The ad says“Experience implementing AI evaluation, observability, tracing and performance monitoring.”
The ad says“Experience with LangGraph, AutoGen, smolagents or similar frameworks.”
The ad says“Experience with Azure, AWS or Google Cloud, Kubernetes, Helm, Terraform and CI/CD technologies.”
The ad says“Experience implementing AI evaluation, observability, tracing and performance monitoring.”
The ad says“Experience with Model Context Protocol, model-serving platforms, vector databases and LLM gateways.”

Viridien (www.viridiengroup.com) is an advanced technology, digital and Earth data company that pushes the boundaries of science for a more prosperous and sustainable future. With our ingenuity, drive and deep curiosity we discover new insights, innovations, and solutions that efficiently and responsibly resolve complex natural resource, digital, energy transition and infrastructure challenges.

Are you someone with the ability to build modern technical solutions and the drive to navigate the operational friction required to deploy them?

Viridien is expanding its ability to deploy secure, scalable and reliable agentic AI solutions across complex scientific and enterprise environments.

We are looking for a hands-on Forward Deployed AI Engineer to adapt, integrate and operationalise agentic AI systems in production across cloud, on-premises, hybrid and restricted environments.

About the Team

Learn more about our work and the team on our website, recent blog post featuring one of our senior machine learning engineers and our latest Voices of Viridien.

Key responsibilities

Design and implement production architectures for agentic AI, LLM and vision-language applications.
Adapt agent workflows, models, tools, retrieval systems and configurations for production use.
Integrate AI systems with enterprise APIs, databases, applications and data platforms.
Develop reusable connectors, APIs and Model Context Protocol tools.
Build automated CI/CD, testing, configuration management and deployment workflows.
Implement authentication, access control, secrets management, security and auditability.
Establish monitoring, logging, tracing, alerting and evaluation for models, agents and tools.
Optimise systems for reliability, latency, throughput, scalability and infrastructure cost.
Troubleshoot production issues and convert deployment experience into reusable platform capabilities.

Experience and skills

Required

Degree in computer science, software engineering, artificial intelligence, engineering or a related discipline, or equivalent practical experience.
Strong Python programming and production software-engineering skills.
Experience developing, integrating and operating enterprise software or AI applications.
Practical understanding of LLMs, agentic AI, tool calling and retrieval-augmented generation.
Experience building APIs, services and data pipelines, with Docker and cloud or on-premises deployments.
Understanding of authentication, networking, access control and enterprise security.
Experience implementing monitoring, logging and operational support for production systems.
Strong troubleshooting skills across application, AI, infrastructure, network and data layers.

Desirable

Experience deploying agentic or generative AI applications in production.
Experience building and operating large-scale, distributed AI systems involving multiple agents, models, tools and services.
Experience with Azure, AWS or Google Cloud, Kubernetes, Helm, Terraform and CI/CD technologies.
Experience with LangGraph, AutoGen, smolagents or similar frameworks.
Experience with Model Context Protocol, model-serving platforms, vector databases and LLM gateways.
Experience implementing AI evaluation, observability, tracing and performance monitoring.
Experience with high availability, autoscaling, load testing, incident management or restricted environments.
Experience applying AI to scientific, engineering, energy or geoscience workflows.

Why work with us?

Competitive salary commensurate with experience
Highly attractive bonus scheme
Initial 22 days annual leave with future increases, complemented by a flexible buying and selling holiday program
Hybrid working with two days at home, flexible working
Company pension with generous employer contribution
Wellbeing Unmind app – puts you in control of your mental health
A flexible benefits platform with numerous discount schemes - gym membership, restaurants, cinema tickets, and much more!
Cycle purchase scheme
Flexible Private Medical & Dental care programmes
Bank Holiday Swap - our holiday swap program allows you to change it for another day of your choice!
Buy & Sell Holiday Programme - you can buy extra holiday, sell unused holiday or even save it up!
Relaxed dress code policy

Learning and Development

At Viridien, we foster a culture of continuous learning and provide tailored training programs through our Learning Hub, designed to enhance technical, commercial, and personal growth.

We Care about the Environment

We encourage and actively support a strong sense of community, through volunteering and various company initiatives, as well as a strong company commitment to protecting our environment through sustainable solutions, energy saving and waste reduction enterprises.

Our Hiring Process

At Viridien, we are committed to delivering a respectful, inclusive, and transparent recruitment experience.

Due to the high volume of applications we receive, we may not be able to provide individual feedback to every applicant. Only candidates whose qualifications closely match the role criteria will be contacted for an interview. We do, however, aim to share personalized feedback with those who progress to the first round of interviews and beyond.

We are also dedicated to ensuring that our hiring process accessible to all. If you require any reasonable adjustments to fully participate in the application or interview stages, please don’t hesitate to contact your recruiter directly.

We see things differently. Diversity fuels our innovation, we value the unique ways in which we differ, and we are committed to equal employment opportunities for all professionals.