Forward Deployed Engineer Generative AI / LLM Deployment

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Forward Deployed Engineer Generative AI / LLM Deployment
GenAI | LangChain | RAG | AWS | Kubernetes | Customer-Facing
We are hiring a Forward Deployed Engineer to lead the deployment of production-grade Generative AI and LLM solutions into enterprise environments.
This is a hands-on, customer-facing role focused on building and deploying RAG pipelines, multi-agent systems and fine-tuned LLM applications using tools such as LangChain and LangGraph. You will embed with client teams, own technical delivery from prototype to production, and demonstrate measurable KPI impact.
Key Responsibilities
Design and deploy GenAI / LLM applications (RAG, agentic AI, fine-tuning)
Lead production deployment on AWS, Azure or GCP
Build scalable backend systems in Python (JavaScript a plus)
Manage infrastructure using Kubernetes, Docker, Terraform
Own end-to-end technical delivery across multiple client deployments
Conduct debugging, optimisation and root cause analysis
Communicate complex AI concepts to technical and non-technical stakeholders
Requirements
Strong experience building and deploying LLM / Generative AI solutions
Hands-on with LangChain, RAG, multi-agent systems
Cloud ML deployment experience (AWS, Azure or GCP)
DevOps tooling: Kubernetes, CI/CD, GitHub, GitOps
Customer-facing technical delivery experience
Background in Machine Learning, Data Science or AI Engineering
This role suits a Senior Machine Learning Engineer, Applied AI Engineer, AI Solutions Engineer or LLM Engineer who enjoys client impact, rapid prototyping and owning delivery in fast-moving environments.
Apply now to work at the forefront of enterprise AI deployment and agentic systems
TPBN1_UKTJ
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Location:
North Acton
Salary:
£85,000
Job Type:
FullTime
Category:
IT;IT

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