> Markdown version of [/jobs/ext/3743863-advanced-ai-platform-engineer](https://www.wearedevelopers.com/jobs/ext/3743863-advanced-ai-platform-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). --- # Advanced AI Platform Engineer - **Company:** HIRE TIMES LLC - **Location:** Gresham Park, GA, United States - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** LangGraph Framework, Application Programming Interfaces (APIs), Artificial Intelligence, Application Frameworks, BigQuery, C++ (Programming Language), Continuous Integration, Information Engineering, Python (Programming Language), Cloud Services, Azure Machine Learning, Azure Data Lake, Software Engineering, Web Services, Feature Engineering, LangChain, Large Language Models, Multi-Cloud, Fastapi, AI Platforms, LangSmith, Kubernetes, Machine Learning Operations, Databricks - **Published:** October 15, 2026 - **Apply:** https://www.juju.com/job/14_89f32dc0 ## About the Role * 8 plus years of experience in software engineering, data engineering, or ML platform engineering. * Strong proficiency in Python and at least one systems language (Python, Go, Rust, C++). * Deep hands-on experience with cloud-native data platforms (Databricks, BigQuery, Azure Data Lake, Kubernetes). * Production experience building and deploying ML/AI pipelines including model serving, feature engineering, and experiment tracking. * Experience with LLM application frameworks such as LangChain, LangGraph, and Langsmith or equivalent agentic AI orchestration tools. ## Description * Develop high-performance, production-ready Python APIs using FastAPI to serve as the primary interface for on-device model inference. * Design, build, and maintain enterprise AI/ML platform services on multi-cloud infrastructure including model deployment, serving and experiment tracking. * Build robust CI/CD stacks to automate the testing of inference logic and the deployment of API services to edge devices. * Implement ML orchestration workflows using LangGraph, MLflow, and custom orchestration layers for multi-agent AI systems. * Own platform reliability for AI services serving multiple business units.