14 Signals+1

Enterprise Agent Reliability Control Plane

A control plane for testing, observing, and auditing LLM agents before and after they run across enterprise tools and data sources.

Added May 31, 2026

Last signal 1h ago

Job Ads

AI Infrastructure

Enterprise SaaS

Developer Tools

Opportunity Score

Opportunity: Medium (70%)

Evidence Strength

Vol: 100%

Urg: 50%

Spec: 100%

Market Analysis

medium

$ high

Multi-billion-dollar enterprise AI infrastructure market, focused on teams productionizing LLM applications and agent workflows

The Problem

Companies are hiring engineers to build LLM agents that integrate with internal tools, APIs, and data sources, but production reliability is still hard. Teams need agents that can reason and act while remaining observable, safe, auditable, and suitable for real business processes.

Potential Solution

The product provides a reliability layer for enterprise LLM agents: workflow tracing, tool-call monitoring, policy checks, regression tests, audit logs, and failure replay. It plugs into RAG and agentic workflows so engineering teams can validate behavior before deployment and monitor agent actions in production.

Why Now?

Multiple companies are moving from LLM prototypes to production agent workflows, creating demand for infrastructure that makes agents reliable enough for enterprise use. Hiring signals repeatedly mention RAG, agentic workflows, observability, safety, and deployment.

Market validation

Opportunity score

82% score confidence

Search demand

Trend snapshot pending

Competition (0)

No matched competitors yet

Showing 1-20 of 20 signals

Senior Software Engineer(AI & LLM) - 12 Months Contract - up to SGD12k -

morgan-mckinley-pte-ltd-200503018eJul 22, 2026

Advanced Automation: Convert human review procedures into LLM-as-judge, multi-turn, trajectory, and deterministic evaluators to eliminate manual testing. Observability & Tracing: Instrument distributed agent systems using OpenTelemetry across Go/Python services and Temporal workflows to ensure flawless debugging data.

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AI Engineer - DealOn

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* Design and implement robust operational frameworks—including evaluation, monitoring, logging, and cost optimization—to continuously improve and maintain a reliable and trustworthy AI experience * Design and implement highly reliable agent-based LLM workflows for production environments

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Principal Engineer, Agentic AI Systems

inflection-aiJul 1, 2026

Integrate agents with APIs, databases, SaaS tools, enterprise systems, internal systems, and user-facing workflows. Improve reliability through structured outputs, guardrails, fallback paths, monitoring, permissions, auditability, and human-in-the-loop controls.

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AI Developer l Contract

manpower-staffing-services-singapore-pte-ltd-199505951hJun 30, 2026

Implement monitoring, observability, and evaluation mechanisms for AI models, prompts, and agent behavior Collaborate with cross-functional stakeholders to deliver production-ready solutions aligned with business outcomes

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AI-Native Engineer (Global Product, AI-Native Workflow, Tech-driven and Innovative Environment!)

dadaconsultants-pte-ltd-201735941wJun 29, 2026

Improve CI/CD quality checks, engineering standards, and release stability across large-scale international products Apply LLMs, RAG, prompt engineering, agents, and workflow automation into real-world engineering scenarios

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