> Markdown version of [/jobs/ext/2193414-senior-ai-platforms-engineer](https://www.wearedevelopers.com/jobs/ext/2193414-senior-ai-platforms-engineer). 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 & Platforms Engineer - **Company:** BuzzClan - **Location:** New York, NY, United States - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Continuous Integration, Data Infrastructure, Dataspaces, DevOps, Github, Python (Programming Language), Software Architecture, Prometheus, Snowflake, Grafana, Multi-Agent Systems, Fastapi, Pytest, Data Lakes, Gitlab-ci, Data Management, Machine Learning Operations, Data Pipelines, Databricks, Microservices - **Published:** August 23, 2026 - **Apply:** https://www.careerjet.com/jobad/us0d70a095262e49872444a8354dd2da43 ## About the Role * Python Expertise: Good knowledge of advanced Python (Asyncio, FastAPI, Pytest) applied to distributed microservices. * Agentic Frameworks: Hands-on experience developing with frameworks like LangGraph, CrewAI, AutoGen, or Semantic Kernel. * Data Ecosystem: Deep technical proficiency with Snowflake, Databricks (Unity Catalog, Delta Lake), or Lakehouse architectures. * DevOps & AIOps: Proven track record building CI/CD pipelines (GitHub Actions, GitLab CI) and monitoring infrastructure (Prometheus, Grafana, MLflow). ## Description * AI & Agentic Engineering: Design and implement autonomous multi-agent systems and cognitive architectures using cutting-edge agentic frameworks. * Backend Architecture: Build high-performance, asynchronous Python microservices and robust REST/gRPC APIs. * AIOps & CI/CD: Establish end-to-end MLOps/AIOps pipelines, automating the testing, deployment, and monitoring of AI models and data products. * Data Infrastructure: Architect scalable data pipelines and query patterns across data platforms such as Snowflake/Databricks/Lakehouse. ## Related Videos - [Innovating Developer Tools with AI: Insights from GitHub Next](https://www.wearedevelopers.com/videos/1268-innovating-developer-tools-with-ai-insights-from-github-next) - [Developer Experience, Platform Engineering and AI powered Apps](https://www.wearedevelopers.com/videos/990-developer-experience-platform-engineering-and-ai-powered-apps) - [pytest: Simple, rapid and fun testing with Python](https://www.wearedevelopers.com/videos/213-pytest-simple-rapid-and-fun-testing-with-python) - [From DevOps to Scaled DevOps: How We’re Rebuilding Continuous Delivery as a Platform](https://www.wearedevelopers.com/videos/100018-from-devops-to-scaled-devops-how-we-re-rebuilding-continuous-delivery-as-a-platform) - [Automagic Configuration in Python](https://www.wearedevelopers.com/videos/363-automagic-configuration-in-python) - [Bringing AI Model Testing and Prompt Management to Your Codebase with GitHub Models](https://www.wearedevelopers.com/videos/1536-bringing-ai-model-testing-and-prompt-management-to-your-codebase-with-github-models) ## Related Articles - [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) - [Dev Digest 132 - Binging WADFlix?](https://www.wearedevelopers.com/magazine/473-dev-digest-132-binging-wadflix) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [Dev Digest 137 - AI'm not sure about this](https://www.wearedevelopers.com/magazine/485-dev-digest-137-ai-m-not-sure-about-this)