Deployed Engineer

Job Description

Responsibilities

• 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.

Nice to have:

• Hands-on experience working with Golang
• Hands-on experience in the Frontend working with React 
• Deep understanding of Kubernetes

Are you interested in this position?
Apply by clicking on the “Apply Now” button below!
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