Significant experience delivering at a Senior Engineer level. Our Seniors typically have at least 8 years of commercial experience
Experience designing and building agentic platforms using Python and modern AI frameworks
Architect LLM orchestration using frameworks such as LangGraph, CrewAI, AutoGen, and related technologies
Implement multi-agent systems supporting tool use, workflow orchestration, memory, and decision-making
Design and deploy Retrieval-Augmented Generation (RAG) pipelines integrating enterprise data sources
Integrate agentic platforms with client systems, including APIs, data platforms, cloud services, and enterprise applications
The ability to configure Kubernetes and deploy workloads
Design deployment architectures across cloud, on-premise, and hybrid environments
Ability to collaborate efficiently in teams of technical and non-technical individuals
Comfort working in a dynamic environment with evolving objectives and direct iteration with users
Strong consulting experience to plan, execute, and deliver complex client engagements, solving real business problems
Hands-on experience working with Golang
Hands-on experience in the Frontend working with React
Deep understanding of Kubernetes