Field AI Engineer: Production-Ready Agentic Systems

CGG Services (UK) Limited; Crawley; Hybrid; GBP 75,000 - 120,000; Full time

Benefits offered by this job

Hybrid working

Bonus scheme

Company pension

Unmind wellbeing app

Flexible benefits platform

Job summary

Viridien seeks a hands‑on Forward Deployed AI Engineer to adapt, integrate and operationalise agentic AI systems in production across cloud, on‑prem, hybrid and restricted environments. The role focuses on building scalable architectures for agentic AI, integrating with enterprise APIs, and driving secure deployment practices.

You will develop reusable connectors, APIs and tools, while establishing monitoring, security and auditability across production environments.

Qualifications

• Degree in computer science, software engineering, AI, or related field, or equivalent practical experience.
• Strong Python programming and production software‑engineering skills.
• Experience developing, integrating and operating enterprise software or AI applications.
• Understanding of LLMs, agentic AI, tool calling and retrieval‑augmented generation.
• Experience building APIs, services and data pipelines, with Docker and cloud or on‑prem 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.

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.

Skills

Python

Production software‑engineering

LLMs

Agentic AI

API development

Docker

Cloud deployments

Security

Monitoring

Troubleshooting

Education

Degree in Computer Science or related

Tools

LangGraph

AutoGen

smolagents

Kubernetes

Terraform

CI/CD

Job description

Viridien seeks a hands‑on Forward Deployed AI Engineer to adapt, integrate and operationalise agentic AI systems in production across cloud, on‑prem, hybrid and restricted environments. The role focuses on building scalable architectures for agentic AI, integrating with enterprise APIs, and driving secure deployment practices.

You will develop reusable connectors, APIs and tools, while establishing monitoring, security and auditability across production environments.