Key Responsibilities Design, develop, and deploy AI agents for enterprise use cases Build multi-agent systems capable of coordinating and executing tasks autonomously Develop Agentic AI workflows using modern AI orchestration frameworks Design, develop, and optimize Retrieval-Augmented Generation (RAG) solutions Integrate AI agents with APIs, internal platforms, monitoring tools, and enterprise applications Build scalable backend services using Python Improve the reliability, observability, scalability, and performance of AI agents and workflows Collaborate with platform, infrastructure, and operations teams to integrate and operationalize AI solutions Contribute to the architecture and evolution of enterprise AI platforms Provide technical leadership, architectural guidance, and engineering best practices across Agentic AI initiatives Evaluate emerging AI technologies and frameworks and identify opportunities for enterprise adoption Required Qualifications 10+ years of experience Bachelor's Degree Skills Python Development Generative AI Engineering Agentic AI Development Multi-agent Systems AI Orchestration Frameworks Retrieval-Augmented Generation (RAG) LLM Platforms and Models API Development and Enterprise Integrations Cloud Platforms Vector Databases and Semantic Search MLOps/LLMOps Kubernetes and Containerization Observability Tools Site Reliability Engineering (SRE) Slack Integrations and ChatOps Enterprise-scale AI Platform Development Technical Leadership Software Architecture Enterprise Application Integration Analytical Problem Solving Stakeholder Communication Emerging Technology Evaluation Schedule Start date: 2026-10-06