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Forward Deployed AI Engineer

Crawley
Posted about 14 hours ago
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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

Reasons to use Rodeo

I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?

Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.

Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.

Start with a chat, not a search bar

Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.

P

Graduate Consultant — 2026 Scheme

PwC·London, UK
£35,000/yr

Why you're a good match

Strong

Your economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.

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It searches the market for you

Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.

Why you're a good match

You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.

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Strong

Experience fit

Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.

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Strong

Only hits

No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.

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

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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.

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“It took my CV and asked me questions relevant to understanding what kind of jobs to suggest for me. Suggestions were almost perfect. Jobs were exactly what I’ve been looking for.”

Jessica, London

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Skills

Python
Agentic AI
LLMs
Retrieval-augmented generation
Docker
Cloud computing
API development
CI/CD
Kubernetes
Terraform
Monitoring
Logging
Networking
Security
Data pipelines
Distributed systems

Location

Crawley, England, United Kingdom

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