AI Engineer
Core
Design and build autonomous AI agents and machine learning models to automate cloud resource management, optimize costs, and drive intelligent decisions for the ScaleOps platform.
Role type
Senior AI Engineer (Agentic AI & MLOps)
Builds
Autonomous multi-agent systems, production ML models, and intelligent decision engines for cloud infrastructure.
Domain
Cloud Infrastructure / DevOps / Generative AI
Deliverable
production ML models
Required skills
Python, Backend Engineering, Production System Operations, Generative AI (LLMs), Agentic Frameworks (LangGraph, PydanticAI), MLOps, RAG/Vector Databases
Preferred skills
Experience with LangChain, MetaGPT, MCPs, AI-powered IDEs integration
Technologies
LangGraph, PydanticAI, LangChain, MetaGPT, Vector Databases, MCPs
Responsibilities
Design and build autonomous AI agents for troubleshooting, optimization, and FinOps; Develop and deploy ML models for resource policy detection and scaling prediction; Integrate AI systems with tools like Slack, Jira, and AI IDEs; Define AI architecture and best practices as a founding team member; Build evaluation frameworks and security controls for production AI systems. (via careerplan.io/jobs/99-003-DF-362-ai-engineer-at-scaleops)
Seniority
Senior, hands-on IC with technical leadership potential
