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AgentOps Workflow Control Plane
47 Signals+2

AgentOps Workflow Control Plane

A control plane for teams to build, deploy, evaluate, and monitor LLM agents and RAG workflows across internal systems.

Added Jun 6, 2026

AI Infrastructure
LLMOps
Workflow Automation
Opportunity score

Medium opportunity (73%)

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The Problem

Companies are hiring engineers to stitch together LLMs, retrieval systems, agent frameworks, tool calls, prompt engineering, and internal data integrations. The repeated need for orchestration, evaluation, observability, and deployment suggests teams struggle to move LLM workflows from prototypes into reliable production systems.

Potential Solution

AgentOps Workflow Control Plane provides a managed workspace for designing agentic workflows, connecting internal data sources, configuring RAG pipelines, testing prompts and tool-call behavior, and tracking production performance. It focuses on deployment readiness with evaluation suites, observability, versioning, and framework integrations for LangChain, LlamaIndex, and custom agents.

Why Now?

Job postings across Salesforce, GitLab, Apple, BillionToOne, Turing Labs, Instawork, Lemlist, and Sephora show enterprises are actively operationalizing LLM agents rather than merely experimenting. As agent frameworks proliferate, teams need infrastructure that standardizes orchestration, evaluation, and monitoring.

Market validation
Search demand

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Competition (0)

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Showing 1-20 of 47 signals

Job adsSep 14, 2026
sambanova-systems
Forward Deployment Engineer

Architect and implement LLM-powered workflows — including RAG pipelines, multi-agent systems, fine-tuning workflows, and coding solutions — tailored to each customer's data, infrastructure, and business goals.

Job adsSep 14, 2026
golden-agri-international-pte-ltd-199800781g
Agentic AI Engineer / Specialist

Architect and implement end-to-end AI pipelines, including data ingestion, processing, model integration, and agent orchestration. Build and optimize agentic workflows using LLMs, RAG architectures, APIs, and orchestration frameworks.

Job adsSep 11, 2026
chime
Senior Software Engineer, Machine Learning Platform

Design and operate shared platform capabilities for LLM and agentic workloads, including model access, prompt and configuration lifecycle, retrieval, tool integration, state management, and workflow orchestration.

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