> Markdown version of [/jobs/ext/134513-ai-model-deployment-administrator](https://www.wearedevelopers.com/jobs/ext/134513-ai-model-deployment-administrator). 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). --- # AI Model Deployment Administrator - **Company:** OpenKyber LLC - **Location:** Piscataway, United States (Remote available) - **Experience:** Expert - **Contract:** Temporary contract - **Skills:** Artificial Intelligence, Amazon Web Services, Microsoft Azure, Memory Management, Machine Learning, Software Engineering, Systems Integration, Google Cloud, Data Ingestion, Retrieval-Augmented Generation, Large Language Models, Multi-Agent Systems, Backend, Fastapi, Information Technology, Machine Learning Operations, Api Design, Docker, Microservices - **Published:** May 19, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=f1931af32f06248d ## About the Role * University degree in Computer Science or a related discipline. * 12+ years of professional experience in software engineering or backend systems. * 2 3 years relevant experience in AI technologies building APIs, integrating LLMs, designing RAG pipelines, and deploying scalable microservices. * Strong applied expertise with frameworks like LangChain, FastAPI, CrewAI, and cloud platforms. ## Description Design and deploy agentic AI workflows that connect Large Language Models (LLMs) and custom machine learning models into backend architectures, using frameworks like LangChain, LangGraph, PydanticAI or SemanticKernel. Design systems for multi-agent coordination and multi-step reasoning loops/memory management. Build and maintain data ingestion pipelines and vector databases (e.g., Pinecone, Weaviate) to support Retrieval-Augmented Generation for AI agents. Implement tracing (e.g., LangSmith, Langfuse) and build evaluation pipelines to measure accuracy, latency, and cost. Design testing strategies for non-deterministic AI outputs, including the implementation of guardrails and safety constraints. Deploy and orchestrate containerized services using Docker and Kubernetes on cloud platforms like AWS, Google Cloud Platform, or Azure (Azure preferred) Preferred: Experience with Azure Foundry/ Azure OpenAI ## Related Videos - [Agentic AI - From Theory to Practice: Developing Multi-Agent AI Systems on Azure](https://www.wearedevelopers.com/videos/1532-agentic-ai-from-theory-to-practice-developing-multi-agent-ai-systems-on-azure) - [Intro to FastAPI](https://www.wearedevelopers.com/videos/462-intro-to-fastapi) - [Developing the Backend with Stefan Lingler, CTO at Shpock](https://www.wearedevelopers.com/videos/100360-developing-the-backend-with-stefan-lingler-cto-at-shpock) - [Docker Compose: Rediscovered](https://www.wearedevelopers.com/videos/1978-docker-compose-rediscovered) - [DevOps for AI: running LLMs in production with Kubernetes and KubeFlow](https://www.wearedevelopers.com/videos/1222-devops-for-ai-running-llms-in-production-with-kubernetes-and-kubeflow) - [Building and Deploying Multi-Agent Systems with ADK and Vertex AI](https://www.wearedevelopers.com/videos/1918-building-and-deploying-multi-agent-systems-with-adk-and-vertex-ai) ## Related Articles - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [What Are Large Language Models?](https://www.wearedevelopers.com/magazine/304-what-are-large-language-models) - [From Prototype to Production: Build AI Agents with This Free 4-Course Learning Path](https://www.wearedevelopers.com/magazine/655-from-prototype-to-production-build-ai-agents-with-this-free-4-course-learning-path) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [Graph and AI Trends 2026: Why Is AI Running but Not Yet Delivering?](https://www.wearedevelopers.com/magazine/680-graph-and-ai-trends-2026-why-is-ai-running-but-not-yet-delivering)