Forward Deployed AI Engineer
CGG (Compagnie Générale de Géophysique)2 hours ago
Crawley, United KingdomSenior
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 deployment, testing, configuration-management, and CI/CD workflows.
- 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 turn deployment experience into reusable platform capabilities.
Requirements
- 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.
- Desirable experience with large-scale distributed AI systems involving multiple agents, models, tools, and services.
- Desirable experience with Azure, AWS or Google Cloud, Kubernetes, Helm, Terraform, and CI/CD technologies.
- Desirable experience with LangGraph, AutoGen, smolagents, Model Context Protocol, model-serving platforms, vector databases, or LLM gateways.
- Desirable experience with AI evaluation, observability, tracing, performance monitoring, high availability, autoscaling, load testing, incident management, or restricted environments.
- Experience applying AI to scientific, engineering, energy, or geoscience workflows is desirable.
Benefits
- Competitive salary commensurate with experience and a highly attractive bonus scheme.
- Initial 22 days of annual leave with future increases, plus flexible holiday buying and selling.
- Hybrid working with two days at home and flexible working arrangements.
- Company pension with a generous employer contribution.
- Wellbeing Unmind app and flexible benefits with discount schemes.
- Cycle purchase scheme and flexible private medical and dental care programmes.
- Bank Holiday Swap and Buy & Sell Holiday programmes.
- Relaxed dress code and tailored technical, commercial, and personal development training through the Learning Hub.
- Community volunteering and environmental sustainability initiatives.