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Forward Deployed AI Engineer
Job in
Oxford, Oxfordshire, OX1, England, UK
Listed on 2026-09-03
Listing for:
CGG
Full Time
position Listed on 2026-09-03
Job specializations:
-
Software Development
AI Engineer (Applied/Software)
Job Description & How to Apply Below
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 ope rationalise 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 Lang Graph, Auto Gen, 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 healthA 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…
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