> Markdown version of [/jobs/ext/276714-ml-infrastructure-architect](https://www.wearedevelopers.com/jobs/ext/276714-ml-infrastructure-architect). 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). --- # ML Infrastructure Architect - **Company:** OpenKyber LLC - **Location:** United States - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Microsoft Azure, Data Structures, Software Debugging, Python (Programming Language), Object-Oriented Software Development, Tensorflow, Workflow Management Systems, Pytorch, Large Language Models, Prompt Engineering, HuggingFace, Machine Learning Operations, Asynchronous Programming, Api Design, GPT, Software Library - **Published:** May 19, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=52bb50787f03f3f0 ## About the Role * Python Programming: Advanced proficiency in Python, including experience with asynchronous programming, data structures, and object-oriented design. * LangChain & LangGraph: Hands-on experience building, deploying, and maintaining applications using LangChain and LangGraph frameworks. * Large Language Models (LLMs): In-depth understanding and practical experience with LLMs such as OpenAI GPT-3/4, Anthropic Claude, Meta Llama, or similar. * Prompt Engineering: Expertise in designing, testing, and optimizing prompts for generative models to achieve desired outputs. * Graph-Based Workflow Design: Demonstrated ability to architect, implement, and debug complex, stateful, branching conversational flows using LangGraph. * API Development & Integration: Experience integrating external APIs, tools, and data sources into AI-driven workflows. * Machine Learning Libraries: Familiarity with ML/AI libraries such as PyTorch, TensorFlow, Hugging Face Transformers, or similar. * Ability to develop workflow automation via an agentic framework Azure experience preferred ## Related Videos - [ Evaluating AI models for code comprehension](https://www.wearedevelopers.com/videos/1462-evaluating-ai-models-for-code-comprehension) - [Photonic Computing: Programming a New Class of AI Accelerators (incl. Live Coding)](https://www.wearedevelopers.com/videos/100196-photonic-computing-programming-a-new-class-of-ai-accelerators-incl-live-coding) - [API Design - Getting Started](https://www.wearedevelopers.com/videos/33-api-design-getting-started) - [How E.On productionizes its AI model & Implementation of Secure Generative AI.](https://www.wearedevelopers.com/videos/623-how-e-on-productionizes-its-ai-model-implementation-of-secure-generative-ai) - [Speak, Code, Deploy: Transforming Developer Experience with Voice Commands](https://www.wearedevelopers.com/videos/1159-speak-code-deploy-transforming-developer-experience-with-voice-commands) - [Introduction to Azure Machine Learning](https://www.wearedevelopers.com/videos/368-introduction-to-azure-machine-learning) ## Related Articles - [What Are Large Language Models?](https://www.wearedevelopers.com/magazine/304-what-are-large-language-models) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [Everything a Developer Needs to Know About MCP with Neo4j](https://www.wearedevelopers.com/magazine/604-everything-a-developer-needs-to-know-about-mcp-with-neo4j) - [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) - [The Best Large Language Models on The Market](https://www.wearedevelopers.com/magazine/319-the-best-large-language-models-on-the-market) - [MLOps – What’s the deal behind it?](https://www.wearedevelopers.com/magazine/125-mlops-what-s-the-deal-behind-it)