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AgentOps Reliability Control Plane
64 Signals

AgentOps Reliability Control Plane

A SaaS platform that tests, monitors, and debugs LLM agent workflows before and after deployment.

Added Jun 7, 2026

AI Infrastructure
Developer Tools
Observability
Opportunity score

High opportunity (86%)

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The Problem

Companies are moving from simple LLM integrations to agentic systems that reason, plan, call tools, and coordinate across workflows. These systems often fail unpredictably against real data, making it hard for engineering teams to evaluate behavior, trace failures, and operate agents reliably in production.

Potential Solution

Build an observability and evaluation control plane for LLM-powered agents and multi-agent workflows. The product would capture agent traces, tool calls, context usage, failures, and evaluation results, then surface where agents break and help teams compare prompts, models, orchestration strategies, and infrastructure changes before deployment.

Why Now?

Multiple companies are hiring for engineers with experience building, deploying, and operating LLM agents, multi-agent systems, LangChain/LangGraph applications, and AI platform infrastructure. This suggests agentic AI is moving from experimentation into production operations, where reliability tooling becomes necessary.

Market validation
Search demand

Trend snapshot pending

Competition (0)

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Showing 1-20 of 64 signals

Job adsSep 19, 2026
regask-pte-ltd-201824105d
Senior Applied AI Engineer

You will own outcomes end to end. That means the agent, the evaluation harness that proves it works, and the surface our customers actually touch. Design and implement agent workflows using LangGraph/LangChain, with a strong focus on orchestration, observability and debugging.

Job adsSep 19, 2026
retool
Software Engineer, Sandbox & Agent Executor

• Detect, diagnose, and resolve non-deterministic failures such as hallucinations, partial correctness, instruction drift, or context sensitivity, working from transcripts and traces rather than logs alone • Partner closely with product and infrastructure teams on how agent workloads are provisioned, isolated, and rolled out, including for self-hosted customers, and set the pattern for how we ship agentic products safely

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

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