Forward Deployed Engineer
2 Days Old
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
- Location:
- London
- Salary:
- £55,000 - £85,000 /annum + Multiple Benefits
- Job Type:
- FullTime
- Category:
- IT
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