Agentic Operations Specialist

Role Overview

The position requires expertise in agent-centric frameworks including Lang graphs, Crew AI, and AutoGen, focused on defining and managing intricate agent workflows. Responsibilities involve creating markdown documentation to detail complex agent logic handling, alongside developing reusable components for agent lifecycle orchestration, monitoring, and metering.

Core Responsibilities

• Develop and maintain frameworks for agent lifecycle management and orchestration.
• Design markdown-based files specifying complex agent logic flows.
• Implement tracking mechanisms for metrics such as token consumption, agent success rates, execution costs, and model deviations.
• Apply Retrieval-Augmented Generation (RAG) methodologies effectively.
• Establish approval protocols for critical, high-risk agent actions (High-Impact Low-Trust scenarios).

Technical Requirements

• Proficient in Python and Go programming languages, particularly for integrations with Kubernetes and Terraform.
• Experienced with Managed Control Planes (MCP) within CI/CD pipelines and monitoring frameworks.
• Sound knowledge of DevOps and Site Reliability Engineering (SRE) practices.
• Hands-on experience working with Large Language Models (LLMs), vector databases, and MCP systems.
• Strong understanding of telemetry and observability concepts, especially relating to agent roles within DevOps workflows.

Screening Criteria

• Prior DevOps or SRE experience is essential.
• Demonstrated operational familiarity with LLMs, vector databases, and MCPs.
• Insight into telemetry and observability with a focus on agent implementation in DevOps environments.