Artificial Intelligence Engineer

Join a fast-growing start-up in London driving the next generation of AI and data platforms. This is your chance to build the infrastructure and frameworks that take AI from prototype to production, safely, reliably, and at scale.

About the Role

As a Senior AI Platform Engineer, you’ll design and run the core AI platform powering LLMs, agentic workflows, and AI solutions across the business:

• Build APIs, SDKs, and tooling for teams to consume AI capabilities at scale.
• Orchestrate multi-model, multi-service AI workflows using frameworks like LangGraph, CrewAI, or similar.
• Implement vector search and retrieval systems supporting RAG and knowledge integration.
• Develop monitoring, logging, and guardrails to ensure safe, compliant AI deployments.
• Automate infrastructure and model deployment with Kubernetes, Terraform, Helm, and CI/CD pipelines.
• Collaborate with product, security, and compliance teams to embed responsible AI practices.

What You Bring

• Strong software or platform engineering experience (Python, Go, Java, or .NET).
• Expertise in distributed systems, microservices, and cloud-native architectures (GCP preferred).
• Hands-on experience with Kubernetes, service mesh, and event-driven systems.
• Familiarity with LLM orchestration frameworks and vector databases (FAISS, Pinecone, Weaviate, Vertex Vector Search).
• Knowledge of MLOps and AI infra tools (MLflow, VertexAI, Ollama, OpenRouter).
• Strong CI/CD and infrastructure-as-code skills.
• Understanding of AI governance, monitoring, and responsible AI practices.
• Ability to balance rapid experimentation with production-ready robustness.

Why Join?

• Build the foundations of AI adoption at scale in a high-impact, autonomous environment.
• Work with cutting-edge tools and frameworks to move AI from ideas to production.
• Thrive in a culture that values curiosity, ownership, and innovation.