Viridien Logo

Viridien

Forward Deployed AI Engineer

Posted 2 Days Ago
Be an Early Applicant
In-Office
Crawley, West Sussex, England, GBR
Entry level
In-Office
Crawley, West Sussex, England, GBR
Entry level
Deploy and operate secure, scalable agentic AI, LLM, and vision-language applications across cloud, on-premises, hybrid, and restricted environments. Responsibilities include integrating AI systems with enterprise APIs and data platforms, building connectors and deployment workflows, implementing security and observability, optimizing reliability and performance, and troubleshooting production systems across application, infrastructure, network, and data layers.
The summary above was generated by AI

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.


Do you enjoy solving the practical challenges of deploying AI in real-world environments?

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 help adapt, integrate and deploy agentic AI systems in production across cloud, on-premises, hybrid and restricted environments.


Who you'll work with

As a member of our AI Lab, you'll collaborate with senior machine learning engineers, software developers, platform engineers, and security and infrastructure specialists as well as scientific domain experts across Viridien. Learn more about our work and the team on our website, in a recent blog post featuring one of our senior machine learning engineers and from our Voices of Viridien.


What you'll work on

  • Contribute to design and implementation of 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.
  • Help develop reusable connectors, APIs and Model Context Protocol tools.
  • Build automated CI/CD, 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.
  • Optimise systems for reliability, latency, throughput, scalability and infrastructure cost.
  • Troubleshoot production issues and convert deployment experience into reusable platform capabilities.

What we look for


Essential

  • 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 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.
  • 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 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!
  • Relaxed dress code policy

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.

Viridien Crawley, England Office

Crawley, United Kingdom, 0

Similar Jobs

20 Days Ago
In-Office or Remote
London, Greater London, England, GBR
Expert/Leader
Expert/Leader
Cloud • Information Technology • Productivity • Security • Software • App development • Automation
Lead the design, development, deployment, and continuous improvement of AI/ML solutions for enterprise customers. Build integrations using Python or JavaScript, APIs, microservices, and enterprise systems; analyze data; automate workflows; address AI risk, privacy, and compliance; and align technical solutions with business goals. Mentor engineers and communicate effectively with technical and non-technical stakeholders in complex, ambiguous environments.
Top Skills: Agent-Based FrameworksAPIsArtificial IntelligenceAtlassian IntelligenceGdprGenerative AiJavaScriptLarge Language ModelsMachine LearningMicroservicesPythonRovo Ai
17 Days Ago
In-Office
London, Greater London, England, GBR
Senior level
Senior level
Fintech • Financial Services
Build and deploy production-grade AI solutions for investment, client, and operational workflows. Responsibilities include integrating LLMs, developing automations and agentic workflows, connecting enterprise data sources, prototyping and deploying solutions, partnering with stakeholders and architects, contributing to AI platform standards, training users, and ensuring responsible AI governance and compliance.
Top Skills: AutogenClaudeCloud PlatformsGithub CopilotHebbiaLangchainLanggraphLarge Language Models (Llms)MicroservicesMicrosoft CopilotMicrosoft Copilot CoworkMicrosoft Copilot FoundryMicrosoft Copilot StudioModel Context Protocol (Mcp)Rest Apis
10 Days Ago
In-Office
London, Greater London, England, GBR
Senior level
Senior level
Cloud • Information Technology • Consulting
Build and deploy production-grade agentic AI applications, generative AI features, RAG pipelines, and LLM integrations for customer engagements. Develop Python and FastAPI services, model data with relational and graph databases, implement governance guardrails, and instrument systems for observability. Collaborate with platform engineering on deployment and MLOps/LLMOps, modernize legacy workflows, troubleshoot reliability issues, and contribute reusable AI patterns and best practices.
Top Skills: AutogenCi/CdCrewaiDockerFastapiGitGitGoogle Agent Development KitHugging FaceLanggraphLlmsModel Context ProtocolNeo4JOcrOpaOpenai Agents SdkOpentelemetryPostgresPrometheusPythonPyTorchRagRegoSemantic KernelTensorFlowVector Databases

What you need to know about the London Tech Scene

London isn't just a hub for established businesses; it's also a nursery for innovation. Boasting one of the most recognized fintech ecosystems in Europe, attracting billions in investments each year, London's success has made it a go-to destination for startups looking to make their mark. Top U.K. companies like Hoptin, Moneybox and Marshmallow have already made the city their base — yet fintech is just the beginning. From healthtech to renewable energy to cybersecurity and beyond, the city's startups are breaking new ground across a range of industries.

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account