Description

You will own the operational aspects of AI and ML systems, focusing on workflow automation and incident management.

This role is remote.

Responsibilities

• Develop and manage AI/LLM workflows and operational use cases.
• Implement incident triage, log summarization, and root cause analysis for AI systems.
• Trace issues across multi-step pipelines and asynchronous agents.
• Leverage agentic AI architectures for complex workflow automation.
• Script automation tasks using Python and interact with RESTful APIs.

Required Skills

• 3-6 years of experience in software engineering, DevOps, or ML Ops.
• Strong foundation in prompt engineering and LLMs (GPT, Claude, LLaMA).
• Practical understanding of AIOps platforms or operational AI use cases.
• Exposure to agentic AI architectures (LangGraph, AutoGen, CrewAI).
• Proficiency in scripting using Python.
• Experience with RESTful APIs and basic system debugging.
• Familiarity with AI/ML technologies and DevOps practices.

Key Skills

Education

Not specified