AgentOps Evaluation Control Plane
38 Signals

AgentOps Evaluation Control Plane

A SaaS platform for designing, testing, deploying, and monitoring multi-agent AI workflows built with frameworks like LangGraph, CrewAI, AutoGen, and custom orchestration layers.

Added May 29, 2026

AI Developer Tools
Agent Operations
LLM Evaluation
Opportunity score

Medium opportunity (73%)

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The Problem

Companies are hiring specialists to build production AI agents, tune prompts, orchestrate multi-agent workflows, and keep agent behavior reliable after deployment. The repeated need for evaluation frameworks, A/B prompt testing, error recovery, and ongoing operations suggests teams struggle to move agents from prototype to dependable production systems.

Potential Solution

The product provides a control plane for agent engineering teams: workflow configuration, prompt versioning, A/B testing, behavior tuning, evaluation suites, deployment checks, and production monitoring. It integrates with common agent frameworks and gives teams a shared operational layer for reliability, testing, and lifecycle management.

Why Now?

Job postings show agentic AI moving from experimentation into production ownership, with companies explicitly hiring for full-lifecycle agent architecture, testing, deployment, and operations. As more businesses adopt multi-agent systems, the need for tooling around reliability and evaluation becomes urgent.

Market validation
Search demand

Trend snapshot pending

Competition (0)

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Showing 1-20 of 38 signals

Job adsSep 12, 2026
klaviyo
Lead Engineer, Applied AI (Customer Agent)

Experience working on a multi-tenant agent platform at production scale, where external customers configure their own agent behavior on shared infrastructure. A track record with production evaluation systems, AI observability, or human-in-the-loop workflows for LLM-powered products.

Job adsSep 3, 2026
amazon
Software Development Engineer , Adaptive Search Relevance

- Build and scale a multi-agent orchestration platform that autonomously executes research workflows — from hypothesis generation and experiment design through training, evaluation, and production deployment — with fault tolerance, cost controls, and security compliance

Job adsSep 2, 2026
dell
Senior Analyst, Agentic AI Engineer

Design, develop, test, and deploy AI-powered agents and workflows using large language models, retrieval systems, and enterprise data sources. Define evaluation frameworks, monitor production performance, troubleshoot issues, and continuously improve solution accuracy and adoption.

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