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Viridien

Geoscience solutions for natural resources

Forward Deployed AI Engineer

AI Application Engineering +1Confirmed live in the last 24 hours
Full-timeCrawley, UK

About the Job

Requirements

  • A degree in computer science, software engineering, artificial intelligence, engineering, or a related discipline, or equivalent practical experience.
  • Strong Python programming and software-engineering skills.
  • Experience developing, integrating, and operating software or AI applications.
  • Working understanding of large language models, 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.
  • Troubleshooting skills across application, AI, infrastructure, network, and data layers.

Responsibilities

  • Contribute to the design and implementation of production architectures for agentic AI, large language model, 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.
  • Help develop reusable connectors, APIs, and Model Context Protocol tools.
  • Build automated continuous integration and continuous delivery, testing, configuration management, and deployment workflows.
  • Work with colleagues to implement authentication, access control, secrets management, security, and auditability.
  • Establish monitoring, logging, tracing, alerting, and evaluation for models, agents, and tools.
  • Optimize systems for reliability, latency, throughput, scalability, and infrastructure cost.
  • Troubleshoot production issues and convert deployment experience into reusable platform capabilities.

Desired Qualifications

  • 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 continuous integration and continuous delivery technologies.
  • Experience with LangGraph, AutoGen, smolagents, or similar frameworks.
  • Experience with Model Context Protocol, model-serving platforms, vector databases, and large language model 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.

About the Company

Viridien

Geoscience solutions for natural resources

Viridien offers geoscience solutions for complex natural resource, environmental, and infrastructure challenges. Its work centers on interpreting and integrating geological and geophysical data to understand subsurface conditions and hazards. By combining data collection, imaging, and modeling, Viridien helps clients make informed decisions about exploration, resource development, environmental management, and infrastructure planning. The company differentiates itself through a broad spectrum of geoscience services across resources, environment, and infrastructure, enabling a single partner to tackle multi-domain problems. The goal is to provide accurate subsurface insights that reduce risk, optimize project outcomes, and support sustainable development.

Company size
1,001-5,000
Company stage
IPO
Headquarters
Massy, France
Founded
1931

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