AgentOps Evaluation Control Plane
40 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 (74%)

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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

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Competition (0)

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Showing 1-20 of 40 signals

Job adsSep 16, 2026
fieldguide
Senior Software Engineer, Agents (Foundation Agents)

Build and harden backend systems that support agent execution, evaluation, and monitoring at scale Drive the AI platform's reliability and quality roadmap forward, working closely with the broader AI team

Job adsSep 15, 2026
boom
Software Engineer

AI and agents. Customer-facing production AI features across every product, plus standalone agents for leasing, application, and underwriting. Own the full agent stack: prompts, tools, memory, retrieval, orchestration, evals, and observability. Build the eval and feedback loops that let us improve agents without regressions, including offline evals, online metrics, and human review queues.

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.

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