> Markdown version of [/jobs/ext/4669228-senior-ai-engineer-agentic-systems](https://www.wearedevelopers.com/jobs/ext/4669228-senior-ai-engineer-agentic-systems). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior AI Engineer, Agentic Systems - **Company:** IT Minds LLC - **Location:** United States - **Experience:** Expert - **Contract:** Contract - **Skills:** Artificial Intelligence, Amazon Web Services, Microsoft Azure, Big Data, Cloud Engineering, Distributed Systems, Graph Database, Python (Programming Language), Resource Description Framework (RDF), Search Technologies, Software Engineering, SPARQL, AI Infrastructure, Google Cloud, Transfer Learning, Large Language Models, Multi-Agent Systems, Generative AI, Agentic-AI, Kubernetes, Graph RAG, Microservices, Agent2Agent Protocol - **Published:** November 11, 2026 - **Apply:** https://www.dice.com/job-detail/e0eaf26f-d668-4636-8c1c-0675549c8709 ## About the Role We are looking for a Senior AI Engineer with strong experience in Generative AI, Agentic AI, Python, and distributed systems to build scalable, enterprise-grade AI solutions., * 8+ years of experience in software development and production systems. * 2+ years of hands-on experience building and deploying AI Agents or GenAI solutions. * 3+ years of experience designing large-scale distributed systems on AWS, Azure, or Google Cloud Platform. * Strong Python programming and Microservices experience. * Experience with Kubernetes, Infrastructure, and CI/CD deployment. * Knowledge of Agent Memory, Agent Orchestration, Multi-Agent Architecture, and A2A protocols. * Experience with Graph RAG, Vector Search, and Knowledge Bases. * Knowledge of Knowledge Graphs, RDF, SPARQL, and Graph Databases. * Experience with LLM Fine-tuning and decision models. * Expertise in large-scale data processing and LLM cost optimization. Preferred Skills: * Enterprise AI and Agentic Automation. * Cloud-native and real-time distributed systems. * AI-driven automation and scalable GenAI architectures.