Tech Stack

Description

You will help build, implement, and deploy agentic platforms within client environments, focusing on scalable AI-driven solutions and integrating LLM-powered agents with enterprise systems. You'll collaborate closely with client stakeholders and delivery teams.

Requirements

• Significant experience delivering at a Senior Engineer level (at least 8 years of commercial experience)
• Experience designing and building agentic platforms using Python and modern AI frameworks
• Architect LLM orchestration using frameworks like LangGraph, CrewAI, AutoGen, and related technologies
• Ability to collaborate efficiently in teams of technical and non-technical individuals
• Strong consulting experience to plan, execute, and deliver complex client engagements

Responsibilities

• Build, implement, and deploy agentic platforms within client environments
• Design and implement multi-agent systems with tool use, orchestration, memory, and decision-making
• Design and deploy RAG pipelines integrating enterprise data sources
• Integrate agentic platforms with client systems including APIs, data platforms, cloud services, and enterprise applications
• Configure Kubernetes and deploy workloads across cloud, on-premise, and hybrid environments